[{"date_updated":"2022-06-28T07:28:14Z","volume":2021,"author":[{"last_name":"Dabelow","full_name":"Dabelow, Lennart","first_name":"Lennart"},{"full_name":"Bo, Stefano","last_name":"Bo","first_name":"Stefano"},{"first_name":"Ralf","full_name":"Eichhorn, Ralf","last_name":"Eichhorn"}],"doi":"10.1088/1742-5468/abe6fd","publication_identifier":{"issn":["1742-5468"]},"publication_status":"published","intvolume":" 2021","citation":{"mla":"Dabelow, Lennart, et al. “How Irreversible Are Steady-State Trajectories of a Trapped Active Particle?” Journal of Statistical Mechanics: Theory and Experiment, vol. 2021, no. 3, 033216, IOP Publishing, 2021, doi:10.1088/1742-5468/abe6fd.","short":"L. Dabelow, S. Bo, R. Eichhorn, Journal of Statistical Mechanics: Theory and Experiment 2021 (2021).","bibtex":"@article{Dabelow_Bo_Eichhorn_2021, title={How irreversible are steady-state trajectories of a trapped active particle?}, volume={2021}, DOI={10.1088/1742-5468/abe6fd}, number={3033216}, journal={Journal of Statistical Mechanics: Theory and Experiment}, publisher={IOP Publishing}, author={Dabelow, Lennart and Bo, Stefano and Eichhorn, Ralf}, year={2021} }","apa":"Dabelow, L., Bo, S., & Eichhorn, R. (2021). How irreversible are steady-state trajectories of a trapped active particle? Journal of Statistical Mechanics: Theory and Experiment, 2021(3), Article 033216. https://doi.org/10.1088/1742-5468/abe6fd","ama":"Dabelow L, Bo S, Eichhorn R. How irreversible are steady-state trajectories of a trapped active particle? Journal of Statistical Mechanics: Theory and Experiment. 2021;2021(3). doi:10.1088/1742-5468/abe6fd","chicago":"Dabelow, Lennart, Stefano Bo, and Ralf Eichhorn. “How Irreversible Are Steady-State Trajectories of a Trapped Active Particle?” Journal of Statistical Mechanics: Theory and Experiment 2021, no. 3 (2021). https://doi.org/10.1088/1742-5468/abe6fd.","ieee":"L. Dabelow, S. Bo, and R. Eichhorn, “How irreversible are steady-state trajectories of a trapped active particle?,” Journal of Statistical Mechanics: Theory and Experiment, vol. 2021, no. 3, Art. no. 033216, 2021, doi: 10.1088/1742-5468/abe6fd."},"_id":"32243","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"department":[{"_id":"27"}],"user_id":"15278","article_number":"033216","type":"journal_article","status":"public","publisher":"IOP Publishing","date_created":"2022-06-28T07:27:41Z","title":"How irreversible are steady-state trajectories of a trapped active particle?","issue":"3","year":"2021","keyword":["Statistics","Probability and Uncertainty","Statistics and Probability","Statistical and Nonlinear Physics"],"language":[{"iso":"eng"}],"publication":"Journal of Statistical Mechanics: Theory and Experiment","abstract":[{"lang":"eng","text":"Abstract\r\n The defining feature of active particles is that they constantly propel themselves by locally converting chemical energy into directed motion. This active self-propulsion prevents them from equilibrating with their thermal environment (e.g. an aqueous solution), thus keeping them permanently out of equilibrium. Nevertheless, the spatial dynamics of active particles might share certain equilibrium features, in particular in the steady state. We here focus on the time-reversal symmetry of individual spatial trajectories as a distinct equilibrium characteristic. We investigate to what extent the steady-state trajectories of a trapped active particle obey or break this time-reversal symmetry. Within the framework of active Ornstein–Uhlenbeck particles we find that the steady-state trajectories in a harmonic potential fulfill path-wise time-reversal symmetry exactly, while this symmetry is typically broken in anharmonic potentials."}]},{"citation":{"bibtex":"@article{Schade_Kenter_Elgabarty_Lass_Schütt_Lazzaro_Pabst_Mohr_Hutter_Kühne_et al._2021, title={Towards Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms}, journal={arXiv:2104.08245}, author={Schade, Robert and Kenter, Tobias and Elgabarty, Hossam and Lass, Michael and Schütt, Ole and Lazzaro, Alfio and Pabst, Hans and Mohr, Stephan and Hutter, Jürg and Kühne, Thomas D. and et al.}, year={2021} }","short":"R. Schade, T. Kenter, H. Elgabarty, M. Lass, O. Schütt, A. Lazzaro, H. Pabst, S. Mohr, J. Hutter, T.D. Kühne, C. Plessl, ArXiv:2104.08245 (2021).","mla":"Schade, Robert, et al. “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms.” ArXiv:2104.08245, 2021.","apa":"Schade, R., Kenter, T., Elgabarty, H., Lass, M., Schütt, O., Lazzaro, A., Pabst, H., Mohr, S., Hutter, J., Kühne, T. D., & Plessl, C. (2021). Towards Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms. In arXiv:2104.08245.","chicago":"Schade, Robert, Tobias Kenter, Hossam Elgabarty, Michael Lass, Ole Schütt, Alfio Lazzaro, Hans Pabst, et al. “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms.” ArXiv:2104.08245, 2021.","ieee":"R. Schade et al., “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms,” arXiv:2104.08245. 2021.","ama":"Schade R, Kenter T, Elgabarty H, et al. Towards Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms. arXiv:210408245. Published online 2021."},"year":"2021","date_created":"2022-06-28T07:48:31Z","author":[{"first_name":"Robert","last_name":"Schade","full_name":"Schade, Robert"},{"full_name":"Kenter, Tobias","last_name":"Kenter","first_name":"Tobias"},{"first_name":"Hossam","full_name":"Elgabarty, Hossam","last_name":"Elgabarty"},{"full_name":"Lass, Michael","last_name":"Lass","first_name":"Michael"},{"first_name":"Ole","last_name":"Schütt","full_name":"Schütt, Ole"},{"full_name":"Lazzaro, Alfio","last_name":"Lazzaro","first_name":"Alfio"},{"last_name":"Pabst","full_name":"Pabst, Hans","first_name":"Hans"},{"first_name":"Stephan","full_name":"Mohr, Stephan","last_name":"Mohr"},{"first_name":"Jürg","full_name":"Hutter, Jürg","last_name":"Hutter"},{"last_name":"Kühne","full_name":"Kühne, Thomas D.","first_name":"Thomas D."},{"full_name":"Plessl, Christian","last_name":"Plessl","first_name":"Christian"}],"date_updated":"2022-06-28T07:49:31Z","title":"Towards Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms","publication":"arXiv:2104.08245","type":"preprint","status":"public","abstract":[{"lang":"eng","text":"We push the boundaries of electronic structure-based \\textit{ab-initio}\r\nmolecular dynamics (AIMD) beyond 100 million atoms. This scale is otherwise\r\nbarely reachable with classical force-field methods or novel neural network and\r\nmachine learning potentials. We achieve this breakthrough by combining\r\ninnovations in linear-scaling AIMD, efficient and approximate sparse linear\r\nalgebra, low and mixed-precision floating-point computation on GPUs, and a\r\ncompensation scheme for the errors introduced by numerical approximations. The\r\ncore of our work is the non-orthogonalized local submatrix method (NOLSM),\r\nwhich scales very favorably to massively parallel computing systems and\r\ntranslates large sparse matrix operations into highly parallel, dense matrix\r\noperations that are ideally suited to hardware accelerators. We demonstrate\r\nthat the NOLSM method, which is at the center point of each AIMD step, is able\r\nto achieve a sustained performance of 324 PFLOP/s in mixed FP16/FP32 precision\r\ncorresponding to an efficiency of 67.7% when running on 1536 NVIDIA A100 GPUs."}],"department":[{"_id":"27"}],"user_id":"15278","external_id":{"arxiv":["2104.08245"]},"_id":"32244","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"language":[{"iso":"eng"}]},{"citation":{"mla":"Wang, Xia, et al. “Interfacial Covalent Bonds Regulated Electron-Deficient 2D Black Phosphorus for Electrocatalytic Oxygen Reactions.” Advanced Materials, vol. 33, no. 20, 2021, p. 2008752, doi:https://doi.org/10.1002/adma.202008752.","bibtex":"@article{Wang_Kormath Madam Raghupathy_Querebillo_Liao_Li_Lin_Hantusch_Sofer_Li_Zschech_et al._2021, title={Interfacial Covalent Bonds Regulated Electron-Deficient 2D Black Phosphorus for Electrocatalytic Oxygen Reactions}, volume={33}, DOI={https://doi.org/10.1002/adma.202008752}, number={20}, journal={Advanced Materials}, author={Wang, Xia and Kormath Madam Raghupathy, Ramya and Querebillo, Christine Joy and Liao, Zhongquan and Li, Dongqi and Lin, Kui and Hantusch, Martin and Sofer, Zdeněk and Li, Baohua and Zschech, Ehrenfried and et al.}, year={2021}, pages={2008752} }","short":"X. Wang, R. Kormath Madam Raghupathy, C.J. Querebillo, Z. Liao, D. Li, K. Lin, M. Hantusch, Z. Sofer, B. Li, E. Zschech, I.M. Weidinger, T. Kühne, H. Mirhosseini, M. Yu, X. Feng, Advanced Materials 33 (2021) 2008752.","apa":"Wang, X., Kormath Madam Raghupathy, R., Querebillo, C. J., Liao, Z., Li, D., Lin, K., Hantusch, M., Sofer, Z., Li, B., Zschech, E., Weidinger, I. M., Kühne, T., Mirhosseini, H., Yu, M., & Feng, X. (2021). Interfacial Covalent Bonds Regulated Electron-Deficient 2D Black Phosphorus for Electrocatalytic Oxygen Reactions. Advanced Materials, 33(20), 2008752. https://doi.org/10.1002/adma.202008752","ama":"Wang X, Kormath Madam Raghupathy R, Querebillo CJ, et al. Interfacial Covalent Bonds Regulated Electron-Deficient 2D Black Phosphorus for Electrocatalytic Oxygen Reactions. Advanced Materials. 2021;33(20):2008752. doi:https://doi.org/10.1002/adma.202008752","chicago":"Wang, Xia, Ramya Kormath Madam Raghupathy, Christine Joy Querebillo, Zhongquan Liao, Dongqi Li, Kui Lin, Martin Hantusch, et al. “Interfacial Covalent Bonds Regulated Electron-Deficient 2D Black Phosphorus for Electrocatalytic Oxygen Reactions.” Advanced Materials 33, no. 20 (2021): 2008752. https://doi.org/10.1002/adma.202008752.","ieee":"X. Wang et al., “Interfacial Covalent Bonds Regulated Electron-Deficient 2D Black Phosphorus for Electrocatalytic Oxygen Reactions,” Advanced Materials, vol. 33, no. 20, p. 2008752, 2021, doi: https://doi.org/10.1002/adma.202008752."},"page":"2008752","intvolume":" 33","year":"2021","issue":"20","doi":"https://doi.org/10.1002/adma.202008752","title":"Interfacial Covalent Bonds Regulated Electron-Deficient 2D Black Phosphorus for Electrocatalytic Oxygen Reactions","date_created":"2021-05-21T12:38:41Z","author":[{"first_name":"Xia","full_name":"Wang, Xia","last_name":"Wang"},{"last_name":"Kormath Madam Raghupathy","orcid":"https://orcid.org/0000-0003-4667-9744","full_name":"Kormath Madam Raghupathy, Ramya","id":"71692","first_name":"Ramya"},{"full_name":"Querebillo, Christine Joy","last_name":"Querebillo","first_name":"Christine Joy"},{"first_name":"Zhongquan","last_name":"Liao","full_name":"Liao, Zhongquan"},{"full_name":"Li, Dongqi","last_name":"Li","first_name":"Dongqi"},{"first_name":"Kui","last_name":"Lin","full_name":"Lin, Kui"},{"first_name":"Martin","full_name":"Hantusch, Martin","last_name":"Hantusch"},{"full_name":"Sofer, Zdeněk","last_name":"Sofer","first_name":"Zdeněk"},{"last_name":"Li","full_name":"Li, Baohua","first_name":"Baohua"},{"last_name":"Zschech","full_name":"Zschech, Ehrenfried","first_name":"Ehrenfried"},{"first_name":"Inez M.","full_name":"Weidinger, Inez M.","last_name":"Weidinger"},{"first_name":"Thomas","last_name":"Kühne","full_name":"Kühne, Thomas","id":"49079"},{"last_name":"Mirhosseini","orcid":"0000-0001-6179-1545","full_name":"Mirhosseini, Hossein","id":"71051","first_name":"Hossein"},{"first_name":"Minghao","last_name":"Yu","full_name":"Yu, Minghao"},{"first_name":"Xinliang","full_name":"Feng, Xinliang","last_name":"Feng"}],"volume":33,"date_updated":"2022-07-21T09:25:33Z","status":"public","abstract":[{"lang":"eng","text":"Abstract Developing resource-abundant and sustainable metal-free bifunctional oxygen electrocatalysts is essential for the practical application of zinc–air batteries (ZABs). 2D black phosphorus (BP) with fully exposed atoms and active lone pair electrons can be promising for oxygen electrocatalysts, which, however, suffers from low catalytic activity and poor electrochemical stability. Herein, guided by density functional theory (DFT) calculations, an efficient metal-free electrocatalyst is demonstrated via covalently bonding BP nanosheets with graphitic carbon nitride (denoted BP-CN-c). The polarized PN covalent bonds in BP-CN-c can efficiently regulate the electron transfer from BP to graphitic carbon nitride and significantly promote the OOH* adsorption on phosphorus atoms. Impressively, the oxygen evolution reaction performance of BP-CN-c (overpotential of 350 mV at 10 mA cm−2, 90\\% retention after 10 h operation) represents the state-of-the-art among the reported BP-based metal-free catalysts. Additionally, BP-CN-c exhibits a small half-wave overpotential of 390 mV for oxygen reduction reaction, representing the first bifunctional BP-based metal-free oxygen catalyst. Moreover, ZABs are assembled incorporating BP-CN-c cathodes, delivering a substantially higher peak power density (168.3 mW cm−2) than the Pt/C+RuO2-based ZABs (101.3 mW cm−2). The acquired insights into interfacial covalent bonds pave the way for the rational design of new and affordable metal-free catalysts."}],"type":"journal_article","publication":"Advanced Materials","language":[{"iso":"eng"}],"keyword":["2D materials","bifunctional oxygen electrocatalysts","black phosphorus","oxygen evolution reaction","zinc–air batteries"],"user_id":"71051","department":[{"_id":"304"}],"project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"22220"},{"doi":"10.1039/D0CP06185A","title":"Thermodynamically stable polymorphs of nitrogen-rich carbon nitrides: a C3N5 study","volume":23,"author":[{"first_name":"Alireza","full_name":"Ghasemi, Alireza","id":"77282","last_name":"Ghasemi"},{"first_name":"Hossein","orcid":"0000-0001-6179-1545","last_name":"Mirhosseini","full_name":"Mirhosseini, Hossein","id":"71051"},{"first_name":"Thomas","last_name":"Kühne","id":"49079","full_name":"Kühne, Thomas"}],"date_created":"2022-01-31T11:00:05Z","publisher":"The Royal Society of Chemistry","date_updated":"2022-07-21T09:26:33Z","page":"6422-6432","intvolume":" 23","citation":{"apa":"Ghasemi, A., Mirhosseini, H., & Kühne, T. (2021). Thermodynamically stable polymorphs of nitrogen-rich carbon nitrides: a C3N5 study. Phys. Chem. Chem. Phys., 23, 6422–6432. https://doi.org/10.1039/D0CP06185A","bibtex":"@article{Ghasemi_Mirhosseini_Kühne_2021, title={Thermodynamically stable polymorphs of nitrogen-rich carbon nitrides: a C3N5 study}, volume={23}, DOI={10.1039/D0CP06185A}, journal={Phys. Chem. Chem. Phys.}, publisher={The Royal Society of Chemistry}, author={Ghasemi, Alireza and Mirhosseini, Hossein and Kühne, Thomas}, year={2021}, pages={6422–6432} }","short":"A. Ghasemi, H. Mirhosseini, T. Kühne, Phys. Chem. Chem. Phys. 23 (2021) 6422–6432.","mla":"Ghasemi, Alireza, et al. “Thermodynamically Stable Polymorphs of Nitrogen-Rich Carbon Nitrides: A C3N5 Study.” Phys. Chem. Chem. Phys., vol. 23, The Royal Society of Chemistry, 2021, pp. 6422–32, doi:10.1039/D0CP06185A.","ama":"Ghasemi A, Mirhosseini H, Kühne T. Thermodynamically stable polymorphs of nitrogen-rich carbon nitrides: a C3N5 study. Phys Chem Chem Phys. 2021;23:6422-6432. doi:10.1039/D0CP06185A","chicago":"Ghasemi, Alireza, Hossein Mirhosseini, and Thomas Kühne. “Thermodynamically Stable Polymorphs of Nitrogen-Rich Carbon Nitrides: A C3N5 Study.” Phys. Chem. Chem. Phys. 23 (2021): 6422–32. https://doi.org/10.1039/D0CP06185A.","ieee":"A. Ghasemi, H. Mirhosseini, and T. Kühne, “Thermodynamically stable polymorphs of nitrogen-rich carbon nitrides: a C3N5 study,” Phys. Chem. Chem. Phys., vol. 23, pp. 6422–6432, 2021, doi: 10.1039/D0CP06185A."},"year":"2021","language":[{"iso":"eng"}],"department":[{"_id":"304"}],"user_id":"71051","_id":"29700","project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"status":"public","abstract":[{"lang":"eng","text":"We have carried out an extensive search for stable polymorphs of carbon nitride with C3N5 stoichiometry using the minima hopping method. Contrary to the widely held opinion that stacked{,} planar{,} graphite-like structures are energetically the most stable carbon nitride polymorphs for various nitrogen contents{,} we find that this does not apply for nitrogen-rich materials owing to the high abundance of N–N bonds. In fact{,} our results disclose novel morphologies with moieties not previously considered for C3N5. We demonstrate that nitrogen-rich compounds crystallize in a large variety of different structures due to particular characteristics of their energy landscapes. The newly found low-energy structures of C3N5 have band gaps within good agreement with the values measured in experimental studies."}],"publication":"Phys. Chem. Chem. Phys.","type":"journal_article"},{"_id":"16294","project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"department":[{"_id":"101"}],"user_id":"15694","language":[{"iso":"eng"}],"publication":"International Journal of Robust and Nonlinear Control","type":"journal_article","abstract":[{"text":"Model predictive control is a prominent approach to construct a feedback\r\ncontrol loop for dynamical systems. Due to real-time constraints, the major\r\nchallenge in MPC is to solve model-based optimal control problems in a very\r\nshort amount of time. For linear-quadratic problems, Bemporad et al. have\r\nproposed an explicit formulation where the underlying optimization problems are\r\nsolved a priori in an offline phase. In this article, we present an extension\r\nof this concept in two significant ways. We consider nonlinear problems and -\r\nmore importantly - problems with multiple conflicting objective functions. In\r\nthe offline phase, we build a library of Pareto optimal solutions from which we\r\nthen obtain a valid compromise solution in the online phase according to a\r\ndecision maker's preference. Since the standard multi-parametric programming\r\napproach is no longer valid in this situation, we instead use interpolation\r\nbetween different entries of the library. To reduce the number of problems that\r\nhave to be solved in the offline phase, we exploit symmetries in the dynamical\r\nsystem and the corresponding multiobjective optimal control problem. The\r\nresults are verified using two different examples from autonomous driving.","lang":"eng"}],"status":"public","oa":"1","date_updated":"2022-01-24T13:27:50Z","volume":"31(2)","author":[{"first_name":"Sina","id":"16494","full_name":"Ober-Blöbaum, Sina","last_name":"Ober-Blöbaum"},{"last_name":"Peitz","orcid":"https://orcid.org/0000-0002-3389-793X","full_name":"Peitz, Sebastian","id":"47427","first_name":"Sebastian"}],"date_created":"2020-03-13T12:44:36Z","title":"Explicit multiobjective model predictive control for nonlinear systems with symmetries","doi":"10.1002/rnc.5281","main_file_link":[{"url":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rnc.5281","open_access":"1"}],"year":"2021","page":"380-403","citation":{"bibtex":"@article{Ober-Blöbaum_Peitz_2021, title={Explicit multiobjective model predictive control for nonlinear systems  with symmetries}, volume={31(2)}, DOI={10.1002/rnc.5281}, journal={International Journal of Robust and Nonlinear Control}, author={Ober-Blöbaum, Sina and Peitz, Sebastian}, year={2021}, pages={380–403} }","short":"S. Ober-Blöbaum, S. Peitz, International Journal of Robust and Nonlinear Control 31(2) (2021) 380–403.","mla":"Ober-Blöbaum, Sina, and Sebastian Peitz. “Explicit Multiobjective Model Predictive Control for Nonlinear Systems  with Symmetries.” International Journal of Robust and Nonlinear Control, vol. 31(2), 2021, pp. 380–403, doi:10.1002/rnc.5281.","apa":"Ober-Blöbaum, S., & Peitz, S. (2021). Explicit multiobjective model predictive control for nonlinear systems  with symmetries. International Journal of Robust and Nonlinear Control, 31(2), 380–403. https://doi.org/10.1002/rnc.5281","ama":"Ober-Blöbaum S, Peitz S. Explicit multiobjective model predictive control for nonlinear systems  with symmetries. International Journal of Robust and Nonlinear Control. 2021;31(2):380-403. doi:10.1002/rnc.5281","ieee":"S. Ober-Blöbaum and S. Peitz, “Explicit multiobjective model predictive control for nonlinear systems  with symmetries,” International Journal of Robust and Nonlinear Control, vol. 31(2), pp. 380–403, 2021, doi: 10.1002/rnc.5281.","chicago":"Ober-Blöbaum, Sina, and Sebastian Peitz. “Explicit Multiobjective Model Predictive Control for Nonlinear Systems  with Symmetries.” International Journal of Robust and Nonlinear Control 31(2) (2021): 380–403. https://doi.org/10.1002/rnc.5281."}},{"title":"Artificial neural networks for the kinetic energy functional of non-interacting fermions","doi":"10.1063/5.0037319","date_updated":"2022-01-31T10:59:48Z","volume":154,"date_created":"2022-01-31T10:59:01Z","author":[{"full_name":"Ghasemi, S. Alireza","last_name":"Ghasemi","first_name":"S. Alireza"},{"first_name":"Thomas D.","last_name":"Kühne","full_name":"Kühne, Thomas D."}],"year":"2021","intvolume":" 154","page":"074107","citation":{"ama":"Ghasemi SA, Kühne TD. Artificial neural networks for the kinetic energy functional of non-interacting fermions. The Journal of Chemical Physics. 2021;154(7):074107. doi:10.1063/5.0037319","ieee":"S. A. Ghasemi and T. D. Kühne, “Artificial neural networks for the kinetic energy functional of non-interacting fermions,” The Journal of Chemical Physics, vol. 154, no. 7, p. 074107, 2021, doi: 10.1063/5.0037319.","chicago":"Ghasemi, S. Alireza, and Thomas D. Kühne. “Artificial Neural Networks for the Kinetic Energy Functional of Non-Interacting Fermions.” The Journal of Chemical Physics 154, no. 7 (2021): 074107. https://doi.org/10.1063/5.0037319.","bibtex":"@article{Ghasemi_Kühne_2021, title={Artificial neural networks for the kinetic energy functional of non-interacting fermions}, volume={154}, DOI={10.1063/5.0037319}, number={7}, journal={The Journal of Chemical Physics}, author={Ghasemi, S. Alireza and Kühne, Thomas D.}, year={2021}, pages={074107} }","short":"S.A. Ghasemi, T.D. Kühne, The Journal of Chemical Physics 154 (2021) 074107.","mla":"Ghasemi, S. Alireza, and Thomas D. Kühne. “Artificial Neural Networks for the Kinetic Energy Functional of Non-Interacting Fermions.” The Journal of Chemical Physics, vol. 154, no. 7, 2021, p. 074107, doi:10.1063/5.0037319.","apa":"Ghasemi, S. A., & Kühne, T. D. (2021). Artificial neural networks for the kinetic energy functional of non-interacting fermions. The Journal of Chemical Physics, 154(7), 074107. https://doi.org/10.1063/5.0037319"},"issue":"7","language":[{"iso":"eng"}],"_id":"29699","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"department":[{"_id":"304"}],"user_id":"71692","status":"public","publication":"The Journal of Chemical Physics","type":"journal_article"},{"page":"67 - 77","citation":{"apa":"Gurcke, T., Alshomary, M., & Wachsmuth, H. (2021). Assessing the Sufficiency of Arguments through Conclusion Generation. Proceedings of the 8th Workshop on Argument Mining, 67–77.","bibtex":"@inproceedings{Gurcke_Alshomary_Wachsmuth_2021, title={Assessing the Sufficiency of Arguments through Conclusion Generation}, booktitle={Proceedings of the 8th Workshop on Argument Mining}, author={Gurcke, Timon and Alshomary, Milad and Wachsmuth, Henning}, year={2021}, pages={67–77} }","mla":"Gurcke, Timon, et al. “Assessing the Sufficiency of Arguments through Conclusion Generation.” Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 67–77.","short":"T. Gurcke, M. Alshomary, H. Wachsmuth, in: Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 67–77.","chicago":"Gurcke, Timon, Milad Alshomary, and Henning Wachsmuth. “Assessing the Sufficiency of Arguments through Conclusion Generation.” In Proceedings of the 8th Workshop on Argument Mining, 67–77, 2021.","ieee":"T. Gurcke, M. Alshomary, and H. Wachsmuth, “Assessing the Sufficiency of Arguments through Conclusion Generation,” in Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 67–77.","ama":"Gurcke T, Alshomary M, Wachsmuth H. Assessing the Sufficiency of Arguments through Conclusion Generation. In: Proceedings of the 8th Workshop on Argument Mining. ; 2021:67-77."},"year":"2021","main_file_link":[{"url":"https://aclanthology.org/2021.argmining-1.7.pdf"}],"title":"Assessing the Sufficiency of Arguments through Conclusion Generation","author":[{"id":"52174","full_name":"Gurcke, Timon","last_name":"Gurcke","first_name":"Timon"},{"id":"73059","full_name":"Alshomary, Milad","last_name":"Alshomary","first_name":"Milad"},{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"}],"date_created":"2021-10-04T12:38:02Z","date_updated":"2022-05-06T08:48:51Z","status":"public","publication":"Proceedings of the 8th Workshop on Argument Mining","type":"conference","language":[{"iso":"eng"}],"department":[{"_id":"600"}],"user_id":"52174","_id":"25295","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}]},{"department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"series_title":"PAKDD","user_id":"38209","_id":"21198","project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"10","name":"SFB 901 - Subproject B2"},{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"language":[{"iso":"eng"}],"type":"conference","status":"public","author":[{"first_name":"Jonas Manuel","last_name":"Hanselle","orcid":"0000-0002-1231-4985","id":"43980","full_name":"Hanselle, Jonas Manuel"},{"first_name":"Alexander","last_name":"Tornede","id":"38209","full_name":"Tornede, Alexander"},{"first_name":"Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever","id":"33176","full_name":"Wever, Marcel Dominik"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier"}],"date_created":"2021-02-09T09:30:14Z","date_updated":"2022-08-24T12:49:06Z","conference":{"start_date":"2021-05-11","name":"The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021)","location":"Delhi, India","end_date":"2021-05-14"},"title":"Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data","citation":{"chicago":"Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.” PAKDD, 2021.","ieee":"J. M. Hanselle, A. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.” 2021.","ama":"Hanselle JM, Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. Published online 2021.","bibtex":"@article{Hanselle_Tornede_Wever_Hüllermeier_2021, series={PAKDD}, title={Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data}, author={Hanselle, Jonas Manuel and Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier, Eyke}, year={2021}, collection={PAKDD} }","short":"J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, (2021).","mla":"Hanselle, Jonas Manuel, et al. Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. 2021.","apa":"Hanselle, J. M., Tornede, A., Wever, M. D., & Hüllermeier, E. (2021). Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), Delhi, India."},"year":"2021"},{"status":"public","abstract":[{"text":"Die vollständige Beschreibung fluiddynamischer und akustischer Vorgänge setzt voraus, dass die Eigenschaften des Fluids hinlänglich bekannt sind.Während Fluidkenngrößen, wie etwa die Schallgeschwindigkeit oder die Scherviskosität, für viele Flüssigkeiten über weite Bereiche des thermodynamischen Zustandsraums bekannt sind, existieren für die Volumenviskosität nur eine geringe Anzahl Messdaten.In dieser Arbeit wird daher ein Messverfahren zur selektiven Bestimmung der Volumenviskosität von Flüssigkeiten, basierend auf der Absorption von Ultraschallwellen, entwickelt und realisiert.Schwerpunkte bilden dabei der simulationsgestützte Entwurf von Algorithmen zur Auswertung der Messsignale sowie die Analyse und Weiterentwicklung einer Messanordnung, basierend auf dem Puls-Echo-Verfahren. Neben der Absorption im Fluid treten dabei weitere Effekte (zum Beispiel Beugung oder unvollständige Reflexion) auf, die das akustische Signal schwächen oder anderweitig beeinflussen. Die Entwicklung von Verfahren zur Trennung dieser Effekte von der akustischen Absorption bildet daher einen weiteren Schwerpunkt dieser Arbeit.Abschließend wird die Volumenviskosität aus der gemessenen akustischen Absorption für unterschiedliche Fluide in verschiedenen thermodynamischen Zuständen unter Zuhilfenahme anderer bekannter Fluidkenngrößen bestimmt sowie eine Unsicherheitsbetrachtung durchgeführt.","lang":"ger"},{"text":"The prerequisite for a complete description of fluid dynamic and acoustic processes is that all properties of the fluid are known.While fluid parameters such as the speed of sound or the shear viscosity are known for many liquids over a wide range of thermodynamic states, only limited measurement data exist for the bulk viscosity.In this thesis, a measurement method for the selective determination of the bulk viscosity of liquids, based on the absorption of ultrasonic waves, is developed and implemented.The focus is on the simulation-driven design of algorithms for processing the measurement signals as well as the analysis and further development of a measurement set-up based on the pulse-echo method.In addition to absorption in the fluid, there are other effects (for example diffraction or incomplete reflection) that weaken or otherwise influence the acoustic signal.Therefore, the development of procedures to separate these effects from acoustic absorption is another focus of this work.The bulk viscosity is determined from the measured acoustic absorption for different fluids in different thermodynamic states. An uncertainty analysis of the measured quantities concludes this thesis.","lang":"eng"}],"type":"dissertation","language":[{"iso":"ger"}],"department":[{"_id":"49"}],"user_id":"11829","_id":"21502","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"page":"223","citation":{"ieee":"L. Claes, Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität. Universiät Paderborn, 2021.","chicago":"Claes, Leander. Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität. Universiät Paderborn, 2021. https://doi.org/10.17619/UNIPB/1-1104.","ama":"Claes L. Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität. Universiät Paderborn; 2021. doi:10.17619/UNIPB/1-1104","short":"L. Claes, Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität, Universiät Paderborn, 2021.","bibtex":"@book{Claes_2021, title={Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität}, DOI={10.17619/UNIPB/1-1104}, publisher={Universiät Paderborn}, author={Claes, Leander}, year={2021} }","mla":"Claes, Leander. Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität. Universiät Paderborn, 2021, doi:10.17619/UNIPB/1-1104.","apa":"Claes, L. (2021). Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität. Universiät Paderborn. https://doi.org/10.17619/UNIPB/1-1104"},"year":"2021","doi":"10.17619/UNIPB/1-1104","main_file_link":[{"open_access":"1","url":"https://digital.ub.uni-paderborn.de/doi/10.17619/UNIPB/1-1104"}],"title":"Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität","supervisor":[{"last_name":"Henning","full_name":"Henning, Bernd","id":"213","first_name":"Bernd"},{"full_name":"Vrabec, Jadran","last_name":"Vrabec","first_name":"Jadran"}],"date_created":"2021-03-15T13:56:04Z","author":[{"first_name":"Leander","id":"11829","full_name":"Claes, Leander","last_name":"Claes","orcid":"0000-0002-4393-268X"}],"oa":"1","date_updated":"2022-09-06T07:08:31Z","publisher":"Universiät Paderborn"},{"language":[{"iso":"eng"}],"department":[{"_id":"66"},{"_id":"574"}],"user_id":"11871","_id":"29294","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"status":"public","publication":"2021 IEEE Winter Conference on Applications of Computer Vision (WACV)","type":"conference","doi":"10.1109/wacv48630.2021.00204","main_file_link":[{"url":"https://openaccess.thecvf.com/content/WACV2021/papers/Nickchen_Generating_Physically_Sound_Training_Data_for_Image_Recognition_of_Additively_WACV_2021_paper.pdf","open_access":"1"}],"title":"Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts","author":[{"first_name":"Tobias","id":"27340","full_name":"Nickchen, Tobias","last_name":"Nickchen","orcid":"0000-0001-8958-9330"},{"first_name":"Stefan","last_name":"Heindorf","orcid":"0000-0002-4525-6865","full_name":"Heindorf, Stefan","id":"11871"},{"id":"107","full_name":"Engels, Gregor","last_name":"Engels","first_name":"Gregor"}],"date_created":"2022-01-12T10:31:42Z","publisher":"IEEE","oa":"1","date_updated":"2022-10-17T15:07:38Z","citation":{"apa":"Nickchen, T., Heindorf, S., & Engels, G. (2021). Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/wacv48630.2021.00204","short":"T. Nickchen, S. Heindorf, G. Engels, in: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, 2021.","mla":"Nickchen, Tobias, et al. “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts.” 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, 2021, doi:10.1109/wacv48630.2021.00204.","bibtex":"@inproceedings{Nickchen_Heindorf_Engels_2021, title={Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts}, DOI={10.1109/wacv48630.2021.00204}, booktitle={2021 IEEE Winter Conference on Applications of Computer Vision (WACV)}, publisher={IEEE}, author={Nickchen, Tobias and Heindorf, Stefan and Engels, Gregor}, year={2021} }","ieee":"T. Nickchen, S. Heindorf, and G. Engels, “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts,” 2021, doi: 10.1109/wacv48630.2021.00204.","chicago":"Nickchen, Tobias, Stefan Heindorf, and Gregor Engels. “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts.” In 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2021. https://doi.org/10.1109/wacv48630.2021.00204.","ama":"Nickchen T, Heindorf S, Engels G. Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. In: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE; 2021. doi:10.1109/wacv48630.2021.00204"},"year":"2021","publication_status":"published"},{"language":[{"iso":"eng"}],"project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"_id":"24000","user_id":"460","department":[{"_id":"54"}],"status":"public","type":"conference","publication":"Speech Communication; 14th ITG-Symposium","title":"A Database for Research on Detection and Enhancement of Speech Transmitted over HF links","date_updated":"2023-10-26T08:06:57Z","author":[{"first_name":"Jens","id":"27643","full_name":"Heitkaemper, Jens","last_name":"Heitkaemper"},{"first_name":"Joerg","last_name":"Schmalenstroeer","full_name":"Schmalenstroeer, Joerg","id":"460"},{"full_name":"Ion, Valentin","last_name":"Ion","first_name":"Valentin"},{"last_name":"Haeb-Umbach","id":"242","full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold"}],"date_created":"2021-09-09T08:41:25Z","year":"2021","citation":{"ieee":"J. Heitkaemper, J. Schmalenstroeer, V. Ion, and R. Haeb-Umbach, “A Database for Research on Detection and Enhancement of Speech Transmitted over HF links,” in Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5.","chicago":"Heitkaemper, Jens, Joerg Schmalenstroeer, Valentin Ion, and Reinhold Haeb-Umbach. “A Database for Research on Detection and Enhancement of Speech Transmitted over HF Links.” In Speech Communication; 14th ITG-Symposium, 1–5, 2021.","ama":"Heitkaemper J, Schmalenstroeer J, Ion V, Haeb-Umbach R. A Database for Research on Detection and Enhancement of Speech Transmitted over HF links. In: Speech Communication; 14th ITG-Symposium. ; 2021:1-5.","apa":"Heitkaemper, J., Schmalenstroeer, J., Ion, V., & Haeb-Umbach, R. (2021). A Database for Research on Detection and Enhancement of Speech Transmitted over HF links. Speech Communication; 14th ITG-Symposium, 1–5.","short":"J. Heitkaemper, J. Schmalenstroeer, V. Ion, R. Haeb-Umbach, in: Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5.","bibtex":"@inproceedings{Heitkaemper_Schmalenstroeer_Ion_Haeb-Umbach_2021, title={A Database for Research on Detection and Enhancement of Speech Transmitted over HF links}, booktitle={Speech Communication; 14th ITG-Symposium}, author={Heitkaemper, Jens and Schmalenstroeer, Joerg and Ion, Valentin and Haeb-Umbach, Reinhold}, year={2021}, pages={1–5} }","mla":"Heitkaemper, Jens, et al. “A Database for Research on Detection and Enhancement of Speech Transmitted over HF Links.” Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5."},"page":"1-5","quality_controlled":"1"},{"doi":"10.1109/icassp39728.2021.9414661","title":"Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation","author":[{"last_name":"Boeddeker","full_name":"Boeddeker, Christoph","id":"40767","first_name":"Christoph"},{"first_name":"Wangyou","last_name":"Zhang","full_name":"Zhang, Wangyou"},{"first_name":"Tomohiro","last_name":"Nakatani","full_name":"Nakatani, Tomohiro"},{"last_name":"Kinoshita","full_name":"Kinoshita, Keisuke","first_name":"Keisuke"},{"last_name":"Ochiai","full_name":"Ochiai, Tsubasa","first_name":"Tsubasa"},{"first_name":"Marc","last_name":"Delcroix","full_name":"Delcroix, Marc"},{"last_name":"Kamo","full_name":"Kamo, Naoyuki","first_name":"Naoyuki"},{"last_name":"Qian","full_name":"Qian, Yanmin","first_name":"Yanmin"},{"last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242","first_name":"Reinhold"}],"date_created":"2021-12-03T12:00:16Z","date_updated":"2023-11-15T15:18:09Z","oa":"1","citation":{"ama":"Boeddeker C, Zhang W, Nakatani T, et al. Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation. In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2021. doi:10.1109/icassp39728.2021.9414661","chicago":"Boeddeker, Christoph, Wangyou Zhang, Tomohiro Nakatani, Keisuke Kinoshita, Tsubasa Ochiai, Marc Delcroix, Naoyuki Kamo, Yanmin Qian, and Reinhold Haeb-Umbach. “Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation.” In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021. https://doi.org/10.1109/icassp39728.2021.9414661.","ieee":"C. Boeddeker et al., “Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation,” 2021, doi: 10.1109/icassp39728.2021.9414661.","apa":"Boeddeker, C., Zhang, W., Nakatani, T., Kinoshita, K., Ochiai, T., Delcroix, M., Kamo, N., Qian, Y., & Haeb-Umbach, R. (2021). Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp39728.2021.9414661","bibtex":"@inproceedings{Boeddeker_Zhang_Nakatani_Kinoshita_Ochiai_Delcroix_Kamo_Qian_Haeb-Umbach_2021, title={Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation}, DOI={10.1109/icassp39728.2021.9414661}, booktitle={ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, author={Boeddeker, Christoph and Zhang, Wangyou and Nakatani, Tomohiro and Kinoshita, Keisuke and Ochiai, Tsubasa and Delcroix, Marc and Kamo, Naoyuki and Qian, Yanmin and Haeb-Umbach, Reinhold}, year={2021} }","short":"C. Boeddeker, W. Zhang, T. Nakatani, K. Kinoshita, T. Ochiai, M. Delcroix, N. Kamo, Y. Qian, R. Haeb-Umbach, in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.","mla":"Boeddeker, Christoph, et al. “Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation.” ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, doi:10.1109/icassp39728.2021.9414661."},"year":"2021","publication_status":"published","has_accepted_license":"1","file_date_updated":"2023-11-15T15:18:08Z","language":[{"iso":"eng"}],"ddc":["000"],"user_id":"40767","department":[{"_id":"54"}],"project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"_id":"28259","file":[{"relation":"main_file","content_type":"application/pdf","file_size":228717,"file_name":"ICASSP2021_BSSEval.pdf","access_level":"open_access","file_id":"28260","date_updated":"2023-11-15T15:18:08Z","date_created":"2021-12-03T12:01:20Z","creator":"cbj"}],"status":"public","type":"conference","publication":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"},{"oa":"1","date_updated":"2023-11-22T08:29:42Z","author":[{"full_name":"Ebbers, Janek","id":"34851","last_name":"Ebbers","first_name":"Janek"},{"full_name":"Kuhlmann, Michael","id":"49871","last_name":"Kuhlmann","first_name":"Michael"},{"first_name":"Tobias","last_name":"Cord-Landwehr","id":"44393","full_name":"Cord-Landwehr, Tobias"},{"full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"has_accepted_license":"1","page":"3860–3864","citation":{"ama":"Ebbers J, Kuhlmann M, Cord-Landwehr T, Haeb-Umbach R. Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2021:3860–3864.","chicago":"Ebbers, Janek, Michael Kuhlmann, Tobias Cord-Landwehr, and Reinhold Haeb-Umbach. “Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations.” In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3860–3864, 2021.","ieee":"J. Ebbers, M. Kuhlmann, T. Cord-Landwehr, and R. Haeb-Umbach, “Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations,” in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 3860–3864.","apa":"Ebbers, J., Kuhlmann, M., Cord-Landwehr, T., & Haeb-Umbach, R. (2021). Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3860–3864.","short":"J. Ebbers, M. Kuhlmann, T. Cord-Landwehr, R. Haeb-Umbach, in: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 3860–3864.","mla":"Ebbers, Janek, et al. “Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations.” Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 3860–3864.","bibtex":"@inproceedings{Ebbers_Kuhlmann_Cord-Landwehr_Haeb-Umbach_2021, title={Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations}, booktitle={Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, author={Ebbers, Janek and Kuhlmann, Michael and Cord-Landwehr, Tobias and Haeb-Umbach, Reinhold}, year={2021}, pages={3860–3864} }"},"_id":"29304","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"department":[{"_id":"54"}],"user_id":"34851","file_date_updated":"2022-01-13T08:19:19Z","type":"conference","status":"public","date_created":"2022-01-13T07:55:29Z","title":"Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations","quality_controlled":"1","year":"2021","ddc":["000"],"language":[{"iso":"eng"}],"publication":"Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","abstract":[{"lang":"eng","text":"In this work we address disentanglement of style and content in speech signals. We propose a fully convolutional variational autoencoder employing two encoders: a content encoder and a style encoder. To foster disentanglement, we propose adversarial contrastive predictive coding. This new disentanglement method does neither need parallel data nor any supervision. We show that the proposed technique is capable of separating speaker and content traits into the two different representations and show competitive speaker-content disentanglement performance compared to other unsupervised approaches. We further demonstrate an increased robustness of the content representation against a train-test mismatch compared to spectral features, when used for phone recognition."}],"file":[{"content_type":"application/pdf","relation":"main_file","creator":"ebbers","date_created":"2022-01-13T07:56:30Z","date_updated":"2022-01-13T08:19:19Z","file_id":"29305","file_name":"Template.pdf","access_level":"open_access","file_size":236628}]},{"conference":{"name":"Interspeech"},"doi":"10.21437/interspeech.2021-1177","oa":"1","date_updated":"2023-11-15T12:14:40Z","author":[{"id":"49870","full_name":"von Neumann, Thilo","orcid":"https://orcid.org/0000-0002-7717-8670","last_name":"von Neumann","first_name":"Thilo"},{"full_name":"Kinoshita, Keisuke","last_name":"Kinoshita","first_name":"Keisuke"},{"id":"40767","full_name":"Boeddeker, Christoph","last_name":"Boeddeker","first_name":"Christoph"},{"last_name":"Delcroix","full_name":"Delcroix, Marc","first_name":"Marc"},{"first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach"}],"citation":{"short":"T. von Neumann, K. Kinoshita, C. Boeddeker, M. Delcroix, R. Haeb-Umbach, in: Interspeech 2021, 2021.","mla":"von Neumann, Thilo, et al. “Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers.” Interspeech 2021, 2021, doi:10.21437/interspeech.2021-1177.","bibtex":"@inproceedings{von Neumann_Kinoshita_Boeddeker_Delcroix_Haeb-Umbach_2021, title={Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers}, DOI={10.21437/interspeech.2021-1177}, booktitle={Interspeech 2021}, author={von Neumann, Thilo and Kinoshita, Keisuke and Boeddeker, Christoph and Delcroix, Marc and Haeb-Umbach, Reinhold}, year={2021} }","apa":"von Neumann, T., Kinoshita, K., Boeddeker, C., Delcroix, M., & Haeb-Umbach, R. (2021). Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers. Interspeech 2021. Interspeech. https://doi.org/10.21437/interspeech.2021-1177","ama":"von Neumann T, Kinoshita K, Boeddeker C, Delcroix M, Haeb-Umbach R. Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers. In: Interspeech 2021. ; 2021. doi:10.21437/interspeech.2021-1177","chicago":"Neumann, Thilo von, Keisuke Kinoshita, Christoph Boeddeker, Marc Delcroix, and Reinhold Haeb-Umbach. “Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers.” In Interspeech 2021, 2021. https://doi.org/10.21437/interspeech.2021-1177.","ieee":"T. von Neumann, K. Kinoshita, C. Boeddeker, M. Delcroix, and R. Haeb-Umbach, “Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers,” presented at the Interspeech, 2021, doi: 10.21437/interspeech.2021-1177."},"publication_status":"published","has_accepted_license":"1","related_material":{"link":[{"relation":"software","url":"https://github.com/fgnt/graph_pit"}]},"file_date_updated":"2021-12-06T10:48:30Z","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"_id":"26770","user_id":"49870","department":[{"_id":"54"}],"status":"public","type":"conference","title":"Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers","date_created":"2021-10-25T08:50:01Z","year":"2021","quality_controlled":"1","ddc":["000"],"keyword":["Continuous speech separation","automatic speech recognition","overlapped speech","permutation invariant training"],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Automatic transcription of meetings requires handling of overlapped speech, which calls for continuous speech separation (CSS) systems. The uPIT criterion was proposed for utterance-level separation with neural networks and introduces the constraint that the total number of speakers must not exceed the number of output channels. When processing meeting-like data in a segment-wise manner, i.e., by separating overlapping segments independently and stitching adjacent segments to continuous output streams, this constraint has to be fulfilled for any segment. In this contribution, we show that this constraint can be significantly relaxed. We propose a novel graph-based PIT criterion, which casts the assignment of utterances to output channels in a graph coloring problem. It only requires that the number of concurrently active speakers must not exceed the number of output channels. As a consequence, the system can process an arbitrary number of speakers and arbitrarily long segments and thus can handle more diverse scenarios.\r\nFurther, the stitching algorithm for obtaining a consistent output order in neighboring segments is of less importance and can even be eliminated completely, not the least reducing the computational effort. Experiments on meeting-style WSJ data show improvements in recognition performance over using the uPIT criterion. "}],"file":[{"content_type":"video/mp4","relation":"supplementary_material","date_created":"2021-12-06T10:39:13Z","creator":"tvn","date_updated":"2021-12-06T10:48:30Z","file_id":"28327","file_name":"Interspeech 2021 voiceover-002-compressed.mp4","access_level":"open_access","file_size":9550220,"title":"Video for INTERSPEECH 2021"},{"creator":"tvn","date_created":"2021-12-06T10:47:01Z","date_updated":"2021-12-06T10:47:01Z","file_name":"Graph-PIT-poster-presentation.pptx","file_id":"28328","access_level":"open_access","title":"Slides from INTERSPEECH 2021","file_size":1337297,"content_type":"application/vnd.openxmlformats-officedocument.presentationml.presentation","relation":"slides"},{"content_type":"application/pdf","relation":"main_file","creator":"tvn","date_created":"2021-12-06T10:48:21Z","date_updated":"2021-12-06T10:48:21Z","file_name":"INTERSPEECH2021_Graph_PIT.pdf","access_level":"open_access","file_id":"28329","file_size":226589}],"publication":"Interspeech 2021"},{"has_accepted_license":"1","quality_controlled":"1","year":"2021","citation":{"ieee":"T. von Neumann, C. Boeddeker, K. Kinoshita, M. Delcroix, and R. Haeb-Umbach, “Speeding Up Permutation Invariant Training for Source Separation,” presented at the Speech Communication; 14th ITG Conference, Kiel, 2021.","chicago":"Neumann, Thilo von, Christoph Boeddeker, Keisuke Kinoshita, Marc Delcroix, and Reinhold Haeb-Umbach. “Speeding Up Permutation Invariant Training for Source Separation.” In Speech Communication; 14th ITG Conference, 2021.","ama":"von Neumann T, Boeddeker C, Kinoshita K, Delcroix M, Haeb-Umbach R. Speeding Up Permutation Invariant Training for Source Separation. In: Speech Communication; 14th ITG Conference. ; 2021.","short":"T. von Neumann, C. Boeddeker, K. Kinoshita, M. Delcroix, R. Haeb-Umbach, in: Speech Communication; 14th ITG Conference, 2021.","mla":"von Neumann, Thilo, et al. “Speeding Up Permutation Invariant Training for Source Separation.” Speech Communication; 14th ITG Conference, 2021.","bibtex":"@inproceedings{von Neumann_Boeddeker_Kinoshita_Delcroix_Haeb-Umbach_2021, title={Speeding Up Permutation Invariant Training for Source Separation}, booktitle={Speech Communication; 14th ITG Conference}, author={von Neumann, Thilo and Boeddeker, Christoph and Kinoshita, Keisuke and Delcroix, Marc and Haeb-Umbach, Reinhold}, year={2021} }","apa":"von Neumann, T., Boeddeker, C., Kinoshita, K., Delcroix, M., & Haeb-Umbach, R. (2021). Speeding Up Permutation Invariant Training for Source Separation. Speech Communication; 14th ITG Conference. Speech Communication; 14th ITG Conference, Kiel."},"oa":"1","date_updated":"2023-11-15T12:16:31Z","date_created":"2022-01-07T10:40:56Z","author":[{"first_name":"Thilo","last_name":"von Neumann","orcid":"https://orcid.org/0000-0002-7717-8670","full_name":"von Neumann, Thilo","id":"49870"},{"first_name":"Christoph","last_name":"Boeddeker","id":"40767","full_name":"Boeddeker, Christoph"},{"first_name":"Keisuke","full_name":"Kinoshita, Keisuke","last_name":"Kinoshita"},{"first_name":"Marc","full_name":"Delcroix, Marc","last_name":"Delcroix"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"title":"Speeding Up Permutation Invariant Training for Source Separation","conference":{"name":"Speech Communication; 14th ITG Conference","start_date":"2021-09-29","end_date":"2021-10-01","location":"Kiel"},"publication":"Speech Communication; 14th ITG Conference","type":"conference","status":"public","file":[{"file_id":"29180","access_level":"open_access","file_name":"poster.pdf","file_size":191938,"date_created":"2022-01-06T13:23:27Z","creator":"tvn","date_updated":"2022-01-06T13:23:27Z","relation":"poster","content_type":"application/pdf"},{"file_size":236670,"access_level":"open_access","file_id":"29181","file_name":"ITG2021_Speeding_up_Permutation_Invariant_Training.pdf","date_updated":"2022-01-07T10:42:54Z","date_created":"2022-01-07T10:42:54Z","creator":"tvn","relation":"main_file","content_type":"application/pdf"}],"_id":"29173","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"department":[{"_id":"54"}],"user_id":"49870","ddc":["000"],"file_date_updated":"2022-01-07T10:42:54Z","language":[{"iso":"eng"}]},{"title":"Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments","date_created":"2022-01-13T08:07:47Z","year":"2021","quality_controlled":"1","language":[{"iso":"eng"}],"ddc":["000"],"file":[{"relation":"main_file","content_type":"application/pdf","file_size":239462,"file_id":"29309","access_level":"open_access","file_name":"template.pdf","date_updated":"2022-01-13T08:19:50Z","creator":"ebbers","date_created":"2022-01-13T08:08:54Z"}],"abstract":[{"lang":"eng","text":"In this paper we present our system for the Detection and Classification of Acoustic Scenes and Events (DCASE) 2021 Challenge Task 4: Sound Event Detection and Separation in Domestic Environments, where it scored the fourth rank. Our presented solution is an advancement of our system used in the previous edition of the task.We use a forward-backward convolutional recurrent neural network (FBCRNN) for tagging and pseudo labeling followed by tag-conditioned sound event detection (SED) models which are trained using strong pseudo labels provided by the FBCRNN. Our advancement over our earlier model is threefold. First, we introduce a strong label loss in the objective of the FBCRNN to take advantage of the strongly labeled synthetic data during training. Second, we perform multiple iterations of self-training for both the FBCRNN and tag-conditioned SED models. Third, while we used only tag-conditioned CNNs as our SED model in the previous edition we here explore sophisticated tag-conditioned SED model architectures, namely, bidirectional CRNNs and bidirectional convolutional transformer neural networks (CTNNs), and combine them. With metric and class specific tuning of median filter lengths for post-processing, our final SED model, consisting of 6 submodels (2 of each architecture), achieves on the public evaluation set poly-phonic sound event detection scores (PSDS) of 0.455 for scenario 1 and 0.684 for scenario as well as a collar-based F1-score of 0.596 outperforming the baselines and our model from the previous edition by far. Source code is publicly available at https://github.com/fgnt/pb_sed."}],"publication":"Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021)","author":[{"first_name":"Janek","last_name":"Ebbers","id":"34851","full_name":"Ebbers, Janek"},{"first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach"}],"oa":"1","date_updated":"2023-11-22T08:28:32Z","citation":{"ieee":"J. Ebbers and R. Haeb-Umbach, “Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments,” in Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021), 2021, pp. 226–230.","chicago":"Ebbers, Janek, and Reinhold Haeb-Umbach. “Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments.” In Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021), 226–230. Barcelona, Spain, 2021.","ama":"Ebbers J, Haeb-Umbach R. Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments. In: Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021). ; 2021:226–230.","apa":"Ebbers, J., & Haeb-Umbach, R. (2021). Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments. Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021), 226–230.","short":"J. Ebbers, R. Haeb-Umbach, in: Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021), Barcelona, Spain, 2021, pp. 226–230.","bibtex":"@inproceedings{Ebbers_Haeb-Umbach_2021, place={Barcelona, Spain}, title={Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments}, booktitle={Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021)}, author={Ebbers, Janek and Haeb-Umbach, Reinhold}, year={2021}, pages={226–230} }","mla":"Ebbers, Janek, and Reinhold Haeb-Umbach. “Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments.” Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021), 2021, pp. 226–230."},"page":"226–230","place":"Barcelona, Spain","has_accepted_license":"1","publication_identifier":{"isbn":["978-84-09-36072-7"]},"file_date_updated":"2022-01-13T08:19:50Z","user_id":"34851","department":[{"_id":"54"}],"project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"_id":"29308","status":"public","type":"conference"},{"page":"1135–1139","citation":{"ieee":"J. Ebbers, M. C. Keyser, and R. Haeb-Umbach, “Adapting Sound Recognition to A New Environment Via Self-Training,” in Proceedings of the 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1135–1139.","chicago":"Ebbers, Janek, Moritz Curt Keyser, and Reinhold Haeb-Umbach. “Adapting Sound Recognition to A New Environment Via Self-Training.” In Proceedings of the 29th European Signal Processing Conference (EUSIPCO), 1135–1139, 2021.","ama":"Ebbers J, Keyser MC, Haeb-Umbach R. Adapting Sound Recognition to A New Environment Via Self-Training. In: Proceedings of the 29th European Signal Processing Conference (EUSIPCO). ; 2021:1135–1139.","bibtex":"@inproceedings{Ebbers_Keyser_Haeb-Umbach_2021, title={Adapting Sound Recognition to A New Environment Via Self-Training}, booktitle={Proceedings of the 29th European Signal Processing Conference (EUSIPCO)}, author={Ebbers, Janek and Keyser, Moritz Curt and Haeb-Umbach, Reinhold}, year={2021}, pages={1135–1139} }","mla":"Ebbers, Janek, et al. “Adapting Sound Recognition to A New Environment Via Self-Training.” Proceedings of the 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1135–1139.","short":"J. Ebbers, M.C. Keyser, R. Haeb-Umbach, in: Proceedings of the 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1135–1139.","apa":"Ebbers, J., Keyser, M. C., & Haeb-Umbach, R. (2021). Adapting Sound Recognition to A New Environment Via Self-Training. Proceedings of the 29th European Signal Processing Conference (EUSIPCO), 1135–1139."},"year":"2021","has_accepted_license":"1","quality_controlled":"1","title":"Adapting Sound Recognition to A New Environment Via Self-Training","date_created":"2022-01-13T08:01:21Z","author":[{"last_name":"Ebbers","id":"34851","full_name":"Ebbers, Janek","first_name":"Janek"},{"first_name":"Moritz Curt","last_name":"Keyser","full_name":"Keyser, Moritz Curt"},{"full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"oa":"1","date_updated":"2023-11-22T08:28:50Z","status":"public","file":[{"file_size":213938,"file_id":"29307","file_name":"conference_101719.pdf","access_level":"open_access","date_updated":"2022-01-13T08:19:35Z","creator":"ebbers","date_created":"2022-01-13T08:03:26Z","relation":"main_file","content_type":"application/pdf"}],"abstract":[{"lang":"eng","text":"Recently, there has been a rising interest in sound recognition via Acoustic Sensor Networks to support applications such as ambient assisted living or environmental habitat monitoring. With state-of-the-art sound recognition being dominated by deep-learning-based approaches, there is a high demand for labeled training data. Despite the availability of large-scale data sets such as Google's AudioSet, acquiring training data matching a certain application environment is still often a problem. In this paper we are concerned with human activity monitoring in a domestic environment using an ASN consisting of multiple nodes each providing multichannel signals. We propose a self-training based domain adaptation approach, which only requires unlabeled data from the target environment. Here, a sound recognition system trained on AudioSet, the teacher, generates pseudo labels for data from the target environment on which a student network is trained. The student can furthermore glean information about the spatial arrangement of sensors and sound sources to further improve classification performance. It is shown that the student significantly improves recognition performance over the pre-trained teacher without relying on labeled data from the environment the system is deployed in."}],"publication":"Proceedings of the 29th European Signal Processing Conference (EUSIPCO)","type":"conference","file_date_updated":"2022-01-13T08:19:35Z","language":[{"iso":"eng"}],"ddc":["000"],"department":[{"_id":"54"}],"user_id":"34851","_id":"29306","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}]},{"project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"35131","user_id":"3145","keyword":["pc2-harp-ressources"],"language":[{"iso":"eng"}],"type":"conference","publication":"2021 31st International Conference on Field-Programmable Logic and Applications (FPL)","abstract":[{"lang":"eng","text":"An FPGA accelerator for the computation of the semi-global Levenshtein distance between a pattern and a reference text is presented. The accelerator provides an important benefit to reduce the execution time of read-mappers used in short-read genomic sequencing. Previous attempts to solve the same problem in FPGA use the Myers algorithm following a column approach to compute the dynamic programming table. We use an approach based on diagonals that allows for some resource savings while maintaining a very high throughput of 1 alignment per clock cycle. The design is implemented in OpenCL and tested on two FPGA accelerators. The maximum performance obtained is 91.5 MPairs/s for 100 × 120 sequences and 47 MPairs/s for 300 × 360 sequences, the highest ever reported for this problem."}],"status":"public","date_updated":"2024-01-22T09:56:25Z","publisher":"IEEE","date_created":"2023-01-03T10:05:13Z","author":[{"last_name":"Castells-Rufas","full_name":"Castells-Rufas, David","first_name":"David"},{"full_name":"Marco-Sola, Santiago","last_name":"Marco-Sola","first_name":"Santiago"},{"first_name":"Quim","full_name":"Aguado-Puig, Quim","last_name":"Aguado-Puig"},{"full_name":"Espinosa-Morales, Antonio","last_name":"Espinosa-Morales","first_name":"Antonio"},{"first_name":"Juan Carlos","last_name":"Moure","full_name":"Moure, Juan Carlos"},{"first_name":"Lluc","full_name":"Alvarez, Lluc","last_name":"Alvarez"},{"full_name":"Moreto, Miquel","last_name":"Moreto","first_name":"Miquel"}],"title":"OpenCL-based FPGA Accelerator for Semi-Global Approximate String Matching Using Diagonal Bit-Vectors","doi":"10.1109/fpl53798.2021.00036","publication_status":"published","quality_controlled":"1","year":"2021","citation":{"ama":"Castells-Rufas D, Marco-Sola S, Aguado-Puig Q, et al. OpenCL-based FPGA Accelerator for Semi-Global Approximate String Matching Using Diagonal Bit-Vectors. In: 2021 31st International Conference on Field-Programmable Logic and Applications (FPL). IEEE; 2021. doi:10.1109/fpl53798.2021.00036","ieee":"D. Castells-Rufas et al., “OpenCL-based FPGA Accelerator for Semi-Global Approximate String Matching Using Diagonal Bit-Vectors,” 2021, doi: 10.1109/fpl53798.2021.00036.","chicago":"Castells-Rufas, David, Santiago Marco-Sola, Quim Aguado-Puig, Antonio Espinosa-Morales, Juan Carlos Moure, Lluc Alvarez, and Miquel Moreto. “OpenCL-Based FPGA Accelerator for Semi-Global Approximate String Matching Using Diagonal Bit-Vectors.” In 2021 31st International Conference on Field-Programmable Logic and Applications (FPL). IEEE, 2021. https://doi.org/10.1109/fpl53798.2021.00036.","mla":"Castells-Rufas, David, et al. “OpenCL-Based FPGA Accelerator for Semi-Global Approximate String Matching Using Diagonal Bit-Vectors.” 2021 31st International Conference on Field-Programmable Logic and Applications (FPL), IEEE, 2021, doi:10.1109/fpl53798.2021.00036.","short":"D. Castells-Rufas, S. Marco-Sola, Q. Aguado-Puig, A. Espinosa-Morales, J.C. Moure, L. Alvarez, M. Moreto, in: 2021 31st International Conference on Field-Programmable Logic and Applications (FPL), IEEE, 2021.","bibtex":"@inproceedings{Castells-Rufas_Marco-Sola_Aguado-Puig_Espinosa-Morales_Moure_Alvarez_Moreto_2021, title={OpenCL-based FPGA Accelerator for Semi-Global Approximate String Matching Using Diagonal Bit-Vectors}, DOI={10.1109/fpl53798.2021.00036}, booktitle={2021 31st International Conference on Field-Programmable Logic and Applications (FPL)}, publisher={IEEE}, author={Castells-Rufas, David and Marco-Sola, Santiago and Aguado-Puig, Quim and Espinosa-Morales, Antonio and Moure, Juan Carlos and Alvarez, Lluc and Moreto, Miquel}, year={2021} }","apa":"Castells-Rufas, D., Marco-Sola, S., Aguado-Puig, Q., Espinosa-Morales, A., Moure, J. C., Alvarez, L., & Moreto, M. (2021). OpenCL-based FPGA Accelerator for Semi-Global Approximate String Matching Using Diagonal Bit-Vectors. 2021 31st International Conference on Field-Programmable Logic and Applications (FPL). https://doi.org/10.1109/fpl53798.2021.00036"}},{"status":"public","type":"conference","publication":"2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)","language":[{"iso":"eng"}],"user_id":"3145","department":[{"_id":"27"},{"_id":"518"}],"project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"_id":"29937","citation":{"apa":"Karp, M., Podobas, A., Jansson, N., Kenter, T., Plessl, C., Schlatter, P., & Markidis, S. (2021). High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection. 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS). https://doi.org/10.1109/ipdps49936.2021.00116","bibtex":"@inproceedings{Karp_Podobas_Jansson_Kenter_Plessl_Schlatter_Markidis_2021, title={High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection}, DOI={10.1109/ipdps49936.2021.00116}, booktitle={2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)}, publisher={IEEE}, author={Karp, Martin and Podobas, Artur and Jansson, Niclas and Kenter, Tobias and Plessl, Christian and Schlatter, Philipp and Markidis, Stefano}, year={2021} }","short":"M. Karp, A. Podobas, N. Jansson, T. Kenter, C. Plessl, P. Schlatter, S. Markidis, in: 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2021.","mla":"Karp, Martin, et al. “High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection.” 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2021, doi:10.1109/ipdps49936.2021.00116.","ama":"Karp M, Podobas A, Jansson N, et al. High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection. In: 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE; 2021. doi:10.1109/ipdps49936.2021.00116","chicago":"Karp, Martin, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, and Stefano Markidis. “High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection.” In 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE, 2021. https://doi.org/10.1109/ipdps49936.2021.00116.","ieee":"M. Karp et al., “High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection,” 2021, doi: 10.1109/ipdps49936.2021.00116."},"year":"2021","publication_status":"published","quality_controlled":"1","doi":"10.1109/ipdps49936.2021.00116","title":"High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection","date_created":"2022-02-21T14:26:37Z","author":[{"first_name":"Martin","last_name":"Karp","full_name":"Karp, Martin"},{"full_name":"Podobas, Artur","last_name":"Podobas","first_name":"Artur"},{"first_name":"Niclas","last_name":"Jansson","full_name":"Jansson, Niclas"},{"first_name":"Tobias","last_name":"Kenter","id":"3145","full_name":"Kenter, Tobias"},{"first_name":"Christian","full_name":"Plessl, Christian","id":"16153","orcid":"0000-0001-5728-9982","last_name":"Plessl"},{"last_name":"Schlatter","full_name":"Schlatter, Philipp","first_name":"Philipp"},{"first_name":"Stefano","last_name":"Markidis","full_name":"Markidis, Stefano"}],"publisher":"IEEE","date_updated":"2024-01-22T09:59:13Z"},{"citation":{"ama":"Kenter T, Shambhu A, Faghih-Naini S, Aizinger V. Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA. In: Proceedings of the Platform for Advanced Scientific Computing Conference (PASC). ACM; 2021. doi:10.1145/3468267.3470617","ieee":"T. Kenter, A. Shambhu, S. Faghih-Naini, and V. Aizinger, “Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA,” 2021, doi: 10.1145/3468267.3470617.","chicago":"Kenter, Tobias, Adesh Shambhu, Sara Faghih-Naini, and Vadym Aizinger. “Algorithm-Hardware Co-Design of a Discontinuous Galerkin Shallow-Water Model for a Dataflow Architecture on FPGA.” In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC). ACM, 2021. https://doi.org/10.1145/3468267.3470617.","apa":"Kenter, T., Shambhu, A., Faghih-Naini, S., & Aizinger, V. (2021). Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA. Proceedings of the Platform for Advanced Scientific Computing Conference (PASC). https://doi.org/10.1145/3468267.3470617","mla":"Kenter, Tobias, et al. “Algorithm-Hardware Co-Design of a Discontinuous Galerkin Shallow-Water Model for a Dataflow Architecture on FPGA.” Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2021, doi:10.1145/3468267.3470617.","short":"T. Kenter, A. Shambhu, S. Faghih-Naini, V. Aizinger, in: Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2021.","bibtex":"@inproceedings{Kenter_Shambhu_Faghih-Naini_Aizinger_2021, title={Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA}, DOI={10.1145/3468267.3470617}, booktitle={Proceedings of the Platform for Advanced Scientific Computing Conference (PASC)}, publisher={ACM}, author={Kenter, Tobias and Shambhu, Adesh and Faghih-Naini, Sara and Aizinger, Vadym}, year={2021} }"},"year":"2021","related_material":{"link":[{"description":"Open Access available via this link.","relation":"other","url":" https://www.sighpc.org/for-our-community/acm-open-tocs/pasc21-open-toc "}]},"publication_status":"published","quality_controlled":"1","main_file_link":[{"url":"https://dl.acm.org/doi/pdf/10.1145/3468267.3470617"}],"doi":"10.1145/3468267.3470617","title":"Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA","date_created":"2023-07-28T11:58:14Z","author":[{"first_name":"Tobias","last_name":"Kenter","full_name":"Kenter, Tobias","id":"3145"},{"full_name":"Shambhu, Adesh","last_name":"Shambhu","first_name":"Adesh"},{"last_name":"Faghih-Naini","full_name":"Faghih-Naini, Sara","first_name":"Sara"},{"last_name":"Aizinger","full_name":"Aizinger, Vadym","first_name":"Vadym"}],"publisher":"ACM","date_updated":"2024-04-17T08:12:21Z","status":"public","type":"conference","publication":"Proceedings of the Platform for Advanced Scientific Computing Conference (PASC)","language":[{"iso":"eng"}],"user_id":"3145","department":[{"_id":"27"},{"_id":"518"}],"project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"46194"}]