Hou, W., et al. “Linearly Shifting Ferromagnetic Resonance Response of L.7Sr0.3MnO3 Thin Film for Body Temperature Sensors.” Frontiers of Materials Science, vol. 16, no. 1, 2022.

Wojciechowski, M. “Dataset for Random Uniform Distributions of 2D Circles and 3D Spheres.” Data Brief, vol. 43, 2022, p. 108318.

Lass, Michael. Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn, 2022, doi:10.17619/UNIPB/1-1281.

Churavy, Valentin, et al. Bridging HPC Communities through the Julia Programming Language. 2022.

Jonas, B., et al. “Nonlinear Down-Conversion in a Single Quantum Dot.”10.1038/s41467-022-28993-3__Nature Communications, vol. 13, no. 1, 1387, Springer Science and Business Media LLC, 2022, doi:10.1038/s41467-022-28993-3.

Altenkort, Luis, et al. “Lattice QCD Noise Reduction for Bosonic Correlators through Blocking.”10.1103/physrevd.105.094505__Physical Review D, vol. 105, no. 9, 094505, American Physical Society (APS), 2022, doi:10.1103/physrevd.105.094505.

Gavini, Vikram, et al. “Roadmap on Electronic Structure Codes in the Exascale Era.” ArXiv:2209.12747, 2022.

Karp, Martin, et al. “A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges.”10.1145/3492805.3492808__International Conference on High Performance Computing in Asia-Pacific Region, ACM, 2022, doi:10.1145/3492805.3492808.

Kühne, Thomas, et al. “CK on the Road to Exascale.” ArXiv:2205.14741, 2022.

Schade, Robert, et al. “Parallel Quantum Chemistry on Noisy Intermediate-Scale Quantum Computers.”10.1103/PhysRevResearch.4.033160__Phys. Rev. Research, vol. 4, American Physical Society, 2022, p. 033160, doi:10.1103/PhysRevResearch.4.033160.

Gavini, Vikram, et al. “Roadmap on Electronic Structure Codes in the Exascale Era.” ArXiv:2209.12747, 2022.

Schade, Robert, et al. “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms.”10.1016/j.parco.2022.102920__Parallel Computing, vol. 111, 102920, Elsevier BV, 2022, doi:10.1016/j.parco.2022.102920.

Meyer, Marius, et al. “In-Depth FPGA Accelerator Performance Evaluation with Single Node Benchmarks from the HPC Challenge Benchmark Suite for Intel and Xilinx FPGAs Using OpenCL.”10.1016/j.jpdc.2021.10.007__Journal of Parallel and Distributed Computing, 2022, doi:10.1016/j.jpdc.2021.10.007.

Moroder, Mattia, et al. “Stable Bipolarons in Open Quantum Systems.”10.1103/PhysRevB.107.214310__Physical Review B 107, 214310 (2023), 2022, doi:10.1103/PhysRevB.107.214310.

Borghini, Nicolas, et al. “Statistical Analysis of Initial State and Final State Response in  Heavy-Ion Collisions.”10.1103/PhysRevC.107.034905__Phys. Rev. C 107 (2023) 034905, 2022, doi:10.1103/PhysRevC.107.034905.

Lesch, Elena, et al. “Plant Mitochondrial RNA Editing Factors Can Perform Targeted C-to-U Editing of Nuclear Transcripts in Human Cells.”10.1093/nar/gkac752__Nucleic Acids Research, vol. 50, no. 17, Oxford University Press (OUP), 2022, pp. 9966–83, doi:10.1093/nar/gkac752.

Menzel, Johannes, et al. “The Strong Scaling Advantage of FPGAs in HPC for N-Body Simulations.”10.1145/3491235__ACM Transactions on Reconfigurable Technology and Systems, vol. 15, no. 1, 2021, pp. 1–30, doi:10.1145/3491235.

Meyer, Marius. “Towards Performance Characterization of FPGAs in Context of HPC Using OpenCL Benchmarks.”10.1145/3468044.3468058__Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2021, doi:10.1145/3468044.3468058.

Nickchen, Tobias, et al. “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts.” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2021, pp. 1994–2002.

Dabelow, Lennart, et al. “How Irreversible Are Steady-State Trajectories of a Trapped Active Particle?”10.1088/1742-5468/abe6fd__Journal of Statistical Mechanics: Theory and Experiment, vol. 2021, no. 3, 033216, IOP Publishing, 2021, doi:10.1088/1742-5468/abe6fd.

Schade, Robert, et al. “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms.” ArXiv:2104.08245, 2021.

Farheen, Henna, et al. “Optimization of Optical Waveguide Antennas for Directive Emission of  Light.” ArXiv:2106.02468, 2021.

Rose, H., et al. “Steady States of $9b$-Type Three-Level Systems Excited by Quantum  Light in Lossy Cavities.” ArXiv:2109.00842, 2021.

Kaczmarek, Olaf, et al. “Eigenvalue Spectra of QCD and the Fate of &;mml:Math Xmlns:Mml="http://Www..Org/1998/Math/MathML" Display="inline"&;&;mml:Msub&;&;mml:Mi&;U&;/Mml:Mi&;&;mml:Mi&;A&;/Mml:Mi&;&;/Mml:Msub&;&;mml:Mo Stretchy="false"&;(&;/Mml:Mo&;&;mml:Mn&;1&;/Mml:Mn&;&;mml:Mo Stretchy="false"&;)&;/Mml:Mo&;&;/Mml:Math&; Breaking towards the Chiral Limit.”10.1103/physrevd.104.094518__Physical Review D, vol. 104, no. 9, 094518, American Physical Society (APS), 2021, doi:10.1103/physrevd.104.094518.

Altenkort, Luis, et al. “Heavy Quark Momentum Diffusion from the Lattice Using Gradient Flow.”10.1103/physrevd.103.014511__Physical Review D, vol. 103, no. 1, 014511, American Physical Society (APS), 2021, doi:10.1103/physrevd.103.014511.

Altenkort, Luis, et al. “Sphaleron Rate from Euclidean Lattice Correlators: An Exploration.”10.1103/physrevd.103.114513__Physical Review D, vol. 103, no. 11, 114513, American Physical Society (APS), 2021, doi:10.1103/physrevd.103.114513.

Karp, Martin, et al. “High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection.”10.1109/ipdps49936.2021.00116__2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2021, doi:10.1109/ipdps49936.2021.00116.

Alhaddad, Samer, et al. “HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids.”10.1007/978-3-030-71593-9_15__Euro-Par 2020: Parallel Processing Workshops, 2021, doi:10.1007/978-3-030-71593-9_15.

Ramaswami, Arjun, et al. “Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing.”10.1007/978-3-030-79025-7_21__Applied Reconfigurable Computing. Architectures, Tools, and Applications, Springer International Publishing, 2021, doi:10.1007/978-3-030-79025-7_21.

Alhaddad, Samer, et al. “The HighPerMeshes Framework for Numerical Algorithms on Unstructured Grids.”10.1002/cpe.6616__Concurrency and Computation: Practice and Experience, 2021, p. e6616, doi:10.1002/cpe.6616.

Chatwell, René Spencer, et al. “Diffusion of the Carbon Dioxide–Ethanol Mixture in the Extended Critical Region.”10.1039/d0cp04985a__Physical Chemistry Chemical Physics, vol. 23, no. 4, Royal Society of Chemistry (RSC), 2021, pp. 3106–15, doi:10.1039/d0cp04985a.

Karp, Martin, et al. “High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection.”10.1109/ipdps49936.2021.00116__2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2021, doi:10.1109/ipdps49936.2021.00116.

Kenter, Tobias, et al. “Algorithm-Hardware Co-Design of a Discontinuous Galerkin Shallow-Water Model for a Dataflow Architecture on FPGA.”10.1145/3468267.3470617__Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2021, doi:10.1145/3468267.3470617.

Nickchen, Tobias, et al. “Opportunities of 3D Machine Learning for Manufacturability Analysis and Component Recognition in the Additive Manufacturing Process Chain.”10.1007/978-3-030-54334-1_4__Industrializing Additive Manufacturing, 2020, doi:10.1007/978-3-030-54334-1_4.

Mirhosseini, Hossein, et al. “In Silico Investigation of Cu(In,Ga)Se<sub>2</sub>-Based Solar Cells.”10.1039/d0cp04712k__Physical Chemistry Chemical Physics, vol. 22, no. 46, Royal Society of Chemistry (RSC), 2020, pp. 26682–701, doi:10.1039/d0cp04712k.

Bengs, Viktor, and Eyke Hüllermeier. “Multi-Armed Bandits with Censored Consumption of Resources.” ArXiv:2011.00813, 2020.

Kühne, Thomas, et al. “CK: An Electronic Structure and Molecular Dynamics Software Package - Quickstep: Efficient and Accurate Electronic Structure Calculations.”10.1063/5.0007045__The Journal of Chemical Physics, vol. 152, no. 19, 194103, 2020, doi:10.1063/5.0007045.

Lass, Michael, et al. “A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CK.”10.1109/SC41405.2020.00084__Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), IEEE Computer Society, 2020, pp. 1127–40, doi:10.1109/SC41405.2020.00084.

Meyer, Marius, et al. “Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite.”10.1109/h2rc51942.2020.00007__2020 IEEE/ACM International Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC), 2020, doi:10.1109/h2rc51942.2020.00007.

Rengaraj, Varadarajan, et al. “Accurate Sampling with Noisy Forces from Approximate Computing.”10.3390/computation8020039__Computation, vol. 8, no. 2, 39, MDPI, 2020, doi:10.3390/computation8020039.

Riebler, Heinrich, et al. “Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL.”10.1145/3319423__ACM Trans. Archit. Code Optim. (TACO), vol. 16, no. 2, ACM, 2019, pp. 14:1–14:26, doi:10.1145/3319423.

Gorlani, Paolo, et al. “OpenCL Implementation of Cannon’s Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs.”10.1109/ICFPT47387.2019.00020__Proceedings of the International Conference on Field-Programmable Technology (FPT), IEEE, 2019, doi:10.1109/ICFPT47387.2019.00020.

Riebler, Heinrich. Efficient Parallel Branch-and-Bound Search on FPGAs Using Work Stealing and Instance-Specific Designs. 2019, doi:10.17619/UNIPB/1-830.

Richters, Dorothee, et al. “A General Algorithm to Calculate the Inverse Principal P-Th Root of Symmetric Positive Definite Matrices.”10.4208/cicp.OA-2018-0053__Communications in Computational Physics, vol. 25, no. 2, Global Science Press, 2019, pp. 564–85, doi:10.4208/cicp.OA-2018-0053.

Platzner, Marco, and Christian Plessl. “FPGAs im Rechenzentrum.”10.1007/s00287-019-01187-w__Informatik Spektrum, 2019, doi:10.1007/s00287-019-01187-w.

Lass, Michael, et al. “Using Approximate Computing for the Calculation of Inverse Matrix P-Th Roots.”10.1109/LES.2017.2760923__Embedded Systems Letters, vol. 10, no. 2, IEEE, 2018, pp. 33–36, doi:10.1109/LES.2017.2760923.

Keller, Axel. “A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems.”10.1007/978-3-319-77398-8_8__Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), edited by D. Klusádek et al., vol. 10773, Springer, 2018, pp. 132–51, doi:10.1007/978-3-319-77398-8_8.

Mertens, Jan Cedric, et al. “Sprint Diagnostic with GPS and Inertial Sensor Fusion.”10.1007/s12283-018-0291-0__Sports Engineering, vol. 21, no. 4, Springer Nature, 2018, pp. 441–51, doi:10.1007/s12283-018-0291-0.

Luk, Samuel M. H., et al. “Theory of Optically Controlled Anisotropic Polariton Transport in Semiconductor Double Microcavities.”10.1364/josab.35.000146__Journal of the Optical Society of America B, vol. 35, no. 1, 146, 2018, doi:10.1364/josab.35.000146.

Kenter, Tobias, et al. “OpenCL-Based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes.”10.1109/FCCM.2018.00037__Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM), IEEE, 2018, doi:10.1109/FCCM.2018.00037.