The effect of traces of ethanol in supercritical carbon dioxide on the mixture's thermodynamic properties is studied by molecular simulations and Taylor dispersion measurements.
"}],"date_updated":"2023-09-27T10:24:39Z","author":[{"first_name":"René Spencer","last_name":"Chatwell","full_name":"Chatwell, René Spencer"},{"first_name":"Gabriela","last_name":"Guevara-Carrion","full_name":"Guevara-Carrion, Gabriela"},{"last_name":"Gaponenko","full_name":"Gaponenko, Yuri","first_name":"Yuri"},{"last_name":"Shevtsova","full_name":"Shevtsova, Valentina","first_name":"Valentina"},{"first_name":"Jadran","full_name":"Vrabec, Jadran","last_name":"Vrabec"}],"volume":23,"doi":"10.1039/d0cp04985a","publication_status":"published","publication_identifier":{"issn":["1463-9076","1463-9084"]},"citation":{"ama":"Chatwell RS, Guevara-Carrion G, Gaponenko Y, Shevtsova V, Vrabec J. Diffusion of the carbon dioxide–ethanol mixture in the extended critical region. Physical Chemistry Chemical Physics. 2021;23(4):3106-3115. doi:10.1039/d0cp04985a","chicago":"Chatwell, René Spencer, Gabriela Guevara-Carrion, Yuri Gaponenko, Valentina Shevtsova, and Jadran Vrabec. “Diffusion of the Carbon Dioxide–Ethanol Mixture in the Extended Critical Region.” Physical Chemistry Chemical Physics 23, no. 4 (2021): 3106–15. https://doi.org/10.1039/d0cp04985a.","ieee":"R. S. Chatwell, G. Guevara-Carrion, Y. Gaponenko, V. Shevtsova, and J. Vrabec, “Diffusion of the carbon dioxide–ethanol mixture in the extended critical region,” Physical Chemistry Chemical Physics, vol. 23, no. 4, pp. 3106–3115, 2021, doi: 10.1039/d0cp04985a.","mla":"Chatwell, René Spencer, et al. “Diffusion of the Carbon Dioxide–Ethanol Mixture in the Extended Critical Region.” Physical Chemistry Chemical Physics, vol. 23, no. 4, Royal Society of Chemistry (RSC), 2021, pp. 3106–15, doi:10.1039/d0cp04985a.","short":"R.S. Chatwell, G. Guevara-Carrion, Y. Gaponenko, V. Shevtsova, J. Vrabec, Physical Chemistry Chemical Physics 23 (2021) 3106–3115.","bibtex":"@article{Chatwell_Guevara-Carrion_Gaponenko_Shevtsova_Vrabec_2021, title={Diffusion of the carbon dioxide–ethanol mixture in the extended critical region}, volume={23}, DOI={10.1039/d0cp04985a}, number={4}, journal={Physical Chemistry Chemical Physics}, publisher={Royal Society of Chemistry (RSC)}, author={Chatwell, René Spencer and Guevara-Carrion, Gabriela and Gaponenko, Yuri and Shevtsova, Valentina and Vrabec, Jadran}, year={2021}, pages={3106–3115} }","apa":"Chatwell, R. S., Guevara-Carrion, G., Gaponenko, Y., Shevtsova, V., & Vrabec, J. (2021). Diffusion of the carbon dioxide–ethanol mixture in the extended critical region. Physical Chemistry Chemical Physics, 23(4), 3106–3115. https://doi.org/10.1039/d0cp04985a"},"page":"3106-3115","intvolume":" 23","_id":"32240","user_id":"15278","department":[{"_id":"27"}],"type":"journal_article","status":"public"},{"doi":"10.1016/j.msea.2021.142312","title":"Strength enhancement of AlMg sheet metal parts by rapid heating and subsequent cold die stamping of severely cold-rolled blanks","date_created":"2023-02-02T14:31:53Z","author":[{"first_name":"Alan Adam","id":"60544","full_name":"Camberg, Alan Adam","last_name":"Camberg"},{"id":"50215","full_name":"Andreiev, Anatolii","last_name":"Andreiev","first_name":"Anatolii"},{"first_name":"Sudipta","last_name":"Pramanik","full_name":"Pramanik, Sudipta"},{"first_name":"Kay-Peter","full_name":"Hoyer, Kay-Peter","id":"48411","last_name":"Hoyer"},{"first_name":"Thomas","full_name":"Tröster, Thomas","id":"553","last_name":"Tröster"},{"last_name":"Schaper","full_name":"Schaper, Mirko","id":"43720","first_name":"Mirko"}],"volume":831,"publisher":"Elsevier BV","date_updated":"2025-06-06T08:07:18Z","citation":{"apa":"Camberg, A. A., Andreiev, A., Pramanik, S., Hoyer, K.-P., Tröster, T., & Schaper, M. (2021). Strength enhancement of AlMg sheet metal parts by rapid heating and subsequent cold die stamping of severely cold-rolled blanks. Materials Science and Engineering: A, 831, Article 142312. https://doi.org/10.1016/j.msea.2021.142312","bibtex":"@article{Camberg_Andreiev_Pramanik_Hoyer_Tröster_Schaper_2021, title={Strength enhancement of AlMg sheet metal parts by rapid heating and subsequent cold die stamping of severely cold-rolled blanks}, volume={831}, DOI={10.1016/j.msea.2021.142312}, number={142312}, journal={Materials Science and Engineering: A}, publisher={Elsevier BV}, author={Camberg, Alan Adam and Andreiev, Anatolii and Pramanik, Sudipta and Hoyer, Kay-Peter and Tröster, Thomas and Schaper, Mirko}, year={2021} }","mla":"Camberg, Alan Adam, et al. “Strength Enhancement of AlMg Sheet Metal Parts by Rapid Heating and Subsequent Cold Die Stamping of Severely Cold-Rolled Blanks.” Materials Science and Engineering: A, vol. 831, 142312, Elsevier BV, 2021, doi:10.1016/j.msea.2021.142312.","short":"A.A. Camberg, A. Andreiev, S. Pramanik, K.-P. Hoyer, T. Tröster, M. Schaper, Materials Science and Engineering: A 831 (2021).","ama":"Camberg AA, Andreiev A, Pramanik S, Hoyer K-P, Tröster T, Schaper M. Strength enhancement of AlMg sheet metal parts by rapid heating and subsequent cold die stamping of severely cold-rolled blanks. Materials Science and Engineering: A. 2021;831. doi:10.1016/j.msea.2021.142312","chicago":"Camberg, Alan Adam, Anatolii Andreiev, Sudipta Pramanik, Kay-Peter Hoyer, Thomas Tröster, and Mirko Schaper. “Strength Enhancement of AlMg Sheet Metal Parts by Rapid Heating and Subsequent Cold Die Stamping of Severely Cold-Rolled Blanks.” Materials Science and Engineering: A 831 (2021). https://doi.org/10.1016/j.msea.2021.142312.","ieee":"A. A. Camberg, A. Andreiev, S. Pramanik, K.-P. Hoyer, T. Tröster, and M. Schaper, “Strength enhancement of AlMg sheet metal parts by rapid heating and subsequent cold die stamping of severely cold-rolled blanks,” Materials Science and Engineering: A, vol. 831, Art. no. 142312, 2021, doi: 10.1016/j.msea.2021.142312."},"intvolume":" 831","year":"2021","publication_status":"published","publication_identifier":{"issn":["0921-5093"]},"language":[{"iso":"eng"}],"article_number":"142312","keyword":["Mechanical Engineering","Mechanics of Materials","Condensed Matter Physics","General Materials Science"],"user_id":"15952","department":[{"_id":"9"},{"_id":"158"},{"_id":"149"},{"_id":"321"}],"_id":"41508","status":"public","type":"journal_article","publication":"Materials Science and Engineering: A"},{"ddc":["000"],"keyword":["SPARQL","benchmarking","cost-based","cost-free","federated","querying"],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Finding a good query plan is key to the optimization of query runtime. This holds in particular for cost-based federation\r\nengines, which make use of cardinality estimations to achieve this goal. A number of studies compare SPARQL federation engines across different performance metrics, including query runtime, result set completeness and correctness, number of sources selected and number of requests sent. Albeit informative, these metrics are generic and unable to quantify and evaluate the accuracy of the cardinality estimators of cost-based federation engines. To thoroughly evaluate cost-based federation engines, the effect of estimated cardinality errors on the overall query runtime performance must be measured. In this paper, we address this challenge by presenting novel evaluation metrics targeted at a fine-grained benchmarking of cost-based federated SPARQL query engines. We evaluate five cost-based federated SPARQL query engines using existing as well as novel evaluation metrics by using LargeRDFBench queries. Our results provide a detailed analysis of the experimental outcomes that reveal novel insights, useful for the development of future cost-based federated SPARQL query processing engines."}],"file":[{"file_name":"swj2604.pdf","file_id":"50483","access_level":"closed","file_size":978478,"creator":"uqudus","date_created":"2024-01-13T11:35:53Z","date_updated":"2024-01-13T11:35:53Z","relation":"main_file","success":1,"content_type":"application/pdf"}],"publication":"Semantic Web","title":"An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines","publisher":"ISO Press","date_created":"2021-10-01T06:52:52Z","year":"2021","issue":"6","article_type":"original","file_date_updated":"2024-01-13T11:35:53Z","project":[{"name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale","_id":"410"}],"_id":"25212","user_id":"83392","department":[{"_id":"574"}],"status":"public","type":"journal_article","doi":"10.3233/SW-200420","date_updated":"2025-09-11T09:50:14Z","author":[{"first_name":"Umair","orcid":"0000-0001-6714-8729","last_name":"Qudus","full_name":"Qudus, Umair","id":"83392"},{"first_name":"Muhammad","full_name":"Saleem, Muhammad","last_name":"Saleem"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"},{"last_name":"Lee","full_name":"Lee, Young-Koo","first_name":"Young-Koo"}],"volume":12,"citation":{"apa":"Qudus, U., Saleem, M., Ngonga Ngomo, A.-C., & Lee, Y.-K. (n.d.). An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines. Semantic Web, 12(6), 843–868. https://doi.org/10.3233/SW-200420","bibtex":"@article{Qudus_Saleem_Ngonga Ngomo_Lee, title={An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines}, volume={12}, DOI={10.3233/SW-200420}, number={6}, journal={Semantic Web}, publisher={ISO Press}, author={Qudus, Umair and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille and Lee, Young-Koo}, pages={843–868} }","mla":"Qudus, Umair, et al. “An Empirical Evaluation of Cost-Based Federated SPARQL Query Processing Engines.” Semantic Web, vol. 12, no. 6, ISO Press, pp. 843–68, doi:10.3233/SW-200420.","short":"U. Qudus, M. Saleem, A.-C. Ngonga Ngomo, Y.-K. Lee, Semantic Web 12 (n.d.) 843–868.","ama":"Qudus U, Saleem M, Ngonga Ngomo A-C, Lee Y-K. An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines. Semantic Web. 12(6):843-868. doi:10.3233/SW-200420","ieee":"U. Qudus, M. Saleem, A.-C. Ngonga Ngomo, and Y.-K. Lee, “An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines,” Semantic Web, vol. 12, no. 6, pp. 843–868, doi: 10.3233/SW-200420.","chicago":"Qudus, Umair, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, and Young-Koo Lee. “An Empirical Evaluation of Cost-Based Federated SPARQL Query Processing Engines.” Semantic Web 12, no. 6 (n.d.): 843–68. https://doi.org/10.3233/SW-200420."},"intvolume":" 12","page":"843-868","publication_status":"accepted","publication_identifier":{"issn":["2210-4968"]},"has_accepted_license":"1"},{"citation":{"ieee":"D. Fang et al., “Optical Arbitrary Waveform Measurement Using Silicon Photonic Slicing Filters,” Journal of Lightwave Technology, pp. 1–1, 2021, doi: 10.1109/jlt.2021.3130764.","chicago":"Fang, Dengyang, Andrea Zazzi, Juliana Müller, Daniel Dray, Christoph Fullner, Pablo Marin-Palomo, Alireza Tabatabaei Mashayekh, et al. “Optical Arbitrary Waveform Measurement Using Silicon Photonic Slicing Filters.” Journal of Lightwave Technology, 2021, 1–1. https://doi.org/10.1109/jlt.2021.3130764.","ama":"Fang D, Zazzi A, Müller J, et al. Optical Arbitrary Waveform Measurement Using Silicon Photonic Slicing Filters. Journal of Lightwave Technology. Published online 2021:1-1. doi:10.1109/jlt.2021.3130764","short":"D. Fang, A. Zazzi, J. Müller, D. Dray, C. Fullner, P. Marin-Palomo, A. Tabatabaei Mashayekh, A. Dipta Das, M. Weizel, S. Gudyriev, W. Freude, S. Randel, J.C. Scheytt, J. Witzens, C. Koos, Journal of Lightwave Technology (2021) 1–1.","mla":"Fang, Dengyang, et al. “Optical Arbitrary Waveform Measurement Using Silicon Photonic Slicing Filters.” Journal of Lightwave Technology, Institute of Electrical and Electronics Engineers (IEEE), 2021, pp. 1–1, doi:10.1109/jlt.2021.3130764.","bibtex":"@article{Fang_Zazzi_Müller_Dray_Fullner_Marin-Palomo_Tabatabaei Mashayekh_Dipta Das_Weizel_Gudyriev_et al._2021, title={Optical Arbitrary Waveform Measurement Using Silicon Photonic Slicing Filters}, DOI={10.1109/jlt.2021.3130764}, journal={Journal of Lightwave Technology}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Fang, Dengyang and Zazzi, Andrea and Müller, Juliana and Dray, Daniel and Fullner, Christoph and Marin-Palomo, Pablo and Tabatabaei Mashayekh, Alireza and Dipta Das, Arka and Weizel, Maxim and Gudyriev, Sergiy and et al.}, year={2021}, pages={1–1} }","apa":"Fang, D., Zazzi, A., Müller, J., Dray, D., Fullner, C., Marin-Palomo, P., Tabatabaei Mashayekh, A., Dipta Das, A., Weizel, M., Gudyriev, S., Freude, W., Randel, S., Scheytt, J. C., Witzens, J., & Koos, C. (2021). Optical Arbitrary Waveform Measurement Using Silicon Photonic Slicing Filters. Journal of Lightwave Technology, 1–1. https://doi.org/10.1109/jlt.2021.3130764"},"page":"1-1","year":"2021","publication_status":"published","publication_identifier":{"issn":["0733-8724","1558-2213"]},"doi":"10.1109/jlt.2021.3130764","title":"Optical Arbitrary Waveform Measurement Using Silicon Photonic Slicing Filters","author":[{"full_name":"Fang, Dengyang","last_name":"Fang","first_name":"Dengyang"},{"full_name":"Zazzi, Andrea","last_name":"Zazzi","first_name":"Andrea"},{"full_name":"Müller, Juliana","last_name":"Müller","first_name":"Juliana"},{"first_name":"Daniel","full_name":"Dray, Daniel","last_name":"Dray"},{"full_name":"Fullner, Christoph","last_name":"Fullner","first_name":"Christoph"},{"first_name":"Pablo","last_name":"Marin-Palomo","full_name":"Marin-Palomo, Pablo"},{"last_name":"Tabatabaei Mashayekh","full_name":"Tabatabaei Mashayekh, Alireza","first_name":"Alireza"},{"first_name":"Arka","full_name":"Dipta Das, Arka","last_name":"Dipta Das"},{"id":"44271","full_name":"Weizel, Maxim","last_name":"Weizel","orcid":"https://orcid.org/0000-0003-2699-9839","first_name":"Maxim"},{"last_name":"Gudyriev","full_name":"Gudyriev, Sergiy","first_name":"Sergiy"},{"first_name":"Wolfgang","full_name":"Freude, Wolfgang","last_name":"Freude"},{"last_name":"Randel","full_name":"Randel, Sebastian","first_name":"Sebastian"},{"first_name":"J. Christoph","full_name":"Scheytt, J. Christoph","id":"37144","orcid":"https://orcid.org/0000-0002-5950-6618","last_name":"Scheytt"},{"last_name":"Witzens","full_name":"Witzens, Jeremy","first_name":"Jeremy"},{"first_name":"Christian","last_name":"Koos","full_name":"Koos, Christian"}],"date_created":"2022-01-10T13:43:46Z","date_updated":"2025-10-30T09:14:55Z","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","status":"public","abstract":[{"text":"We demonstrate an optical arbitrary waveform measurement (OAWM) system that exploits a bank of silicon photonic (SiP) frequency-tunable coupled-resonator optical waveguide (CROW) filters for gapless spectral slicing of broadband optical signals. The spectral slices are coherently detected using a frequency comb as a multi-wavelength local oscillator (LO) and stitched together by digital signal processing (DSP). For high-quality signal reconstruction, we have implemented a maximum-ratio combining (MRC) technique based on precise calibration of the complex-valued opto-electronic transfer functions of all detection paths. In a proof-of-concept experiment, we demonstrate the viability of the scheme by implementing a four-channel system that offers an overall detection bandwidth of 140 GHz. Exploiting a femtosecond laser with precisely known pulse shape for calibration along with dynamic amplitude and phase estimation, we reconstruct 100 GBd QPSK, 16QAM and 64QAM optical data signals. The reconstructed signals show improved quality compared to that obtained with a single high-speed intradyne receiver, while the electronic bandwidth requirements of the individual coherent receivers are greatly reduced.","lang":"eng"}],"type":"journal_article","publication":"Journal of Lightwave Technology","language":[{"iso":"eng"}],"keyword":["Atomic and Molecular Physics","and Optics"],"user_id":"44271","department":[{"_id":"58"},{"_id":"230"}],"project":[{"_id":"303","name":"SPP 2111; TP: Ultrabreitbandiger Photonisch-Elektronischer Analog-Digital-Wandler (PACE) - Phase 2"}],"_id":"29209"},{"issue":"19","publication_status":"published","publication_identifier":{"issn":["1530-6984","1530-6992"]},"citation":{"ieee":"H. Jurgen von Bardeleben, J.-L. Cantin, U. Gerstmann, W. G. Schmidt, and T. Biktagirov, “Spin Polarization, Electron–Phonon Coupling, and Zero-Phonon Line of the NV Center in 3C-SiC,” Nano Letters, vol. 21, no. 19, pp. 8119–8125, 2021, doi: 10.1021/acs.nanolett.1c02564.","chicago":"Jurgen von Bardeleben, Hans, Jean-Louis Cantin, Uwe Gerstmann, Wolf Gero Schmidt, and Timur Biktagirov. “Spin Polarization, Electron–Phonon Coupling, and Zero-Phonon Line of the NV Center in 3C-SiC.” Nano Letters 21, no. 19 (2021): 8119–25. https://doi.org/10.1021/acs.nanolett.1c02564.","ama":"Jurgen von Bardeleben H, Cantin J-L, Gerstmann U, Schmidt WG, Biktagirov T. Spin Polarization, Electron–Phonon Coupling, and Zero-Phonon Line of the NV Center in 3C-SiC. Nano Letters. 2021;21(19):8119-8125. doi:10.1021/acs.nanolett.1c02564","mla":"Jurgen von Bardeleben, Hans, et al. “Spin Polarization, Electron–Phonon Coupling, and Zero-Phonon Line of the NV Center in 3C-SiC.” Nano Letters, vol. 21, no. 19, American Chemical Society (ACS), 2021, pp. 8119–25, doi:10.1021/acs.nanolett.1c02564.","short":"H. Jurgen von Bardeleben, J.-L. Cantin, U. Gerstmann, W.G. Schmidt, T. Biktagirov, Nano Letters 21 (2021) 8119–8125.","bibtex":"@article{Jurgen von Bardeleben_Cantin_Gerstmann_Schmidt_Biktagirov_2021, title={Spin Polarization, Electron–Phonon Coupling, and Zero-Phonon Line of the NV Center in 3C-SiC}, volume={21}, DOI={10.1021/acs.nanolett.1c02564}, number={19}, journal={Nano Letters}, publisher={American Chemical Society (ACS)}, author={Jurgen von Bardeleben, Hans and Cantin, Jean-Louis and Gerstmann, Uwe and Schmidt, Wolf Gero and Biktagirov, Timur}, year={2021}, pages={8119–8125} }","apa":"Jurgen von Bardeleben, H., Cantin, J.-L., Gerstmann, U., Schmidt, W. G., & Biktagirov, T. (2021). Spin Polarization, Electron–Phonon Coupling, and Zero-Phonon Line of the NV Center in 3C-SiC. Nano Letters, 21(19), 8119–8125. https://doi.org/10.1021/acs.nanolett.1c02564"},"page":"8119-8125","intvolume":" 21","year":"2021","author":[{"last_name":"Jurgen von Bardeleben","full_name":"Jurgen von Bardeleben, Hans","first_name":"Hans"},{"full_name":"Cantin, Jean-Louis","last_name":"Cantin","first_name":"Jean-Louis"},{"last_name":"Gerstmann","orcid":"0000-0002-4476-223X","full_name":"Gerstmann, Uwe","id":"171","first_name":"Uwe"},{"first_name":"Wolf Gero","id":"468","full_name":"Schmidt, Wolf Gero","last_name":"Schmidt","orcid":"0000-0002-2717-5076"},{"first_name":"Timur","full_name":"Biktagirov, Timur","id":"65612","last_name":"Biktagirov"}],"date_created":"2022-02-03T15:33:41Z","volume":21,"publisher":"American Chemical Society (ACS)","date_updated":"2025-12-05T14:03:24Z","doi":"10.1021/acs.nanolett.1c02564","title":"Spin Polarization, Electron–Phonon Coupling, and Zero-Phonon Line of the NV Center in 3C-SiC","type":"journal_article","publication":"Nano Letters","status":"public","user_id":"16199","department":[{"_id":"15"},{"_id":"170"},{"_id":"295"},{"_id":"230"},{"_id":"429"},{"_id":"35"},{"_id":"790"},{"_id":"27"}],"project":[{"_id":"53","name":"TRR 142: TRR 142"},{"name":"TRR 142 - B: TRR 142 - Project Area B","_id":"55"},{"_id":"69","name":"TRR 142 - B4: TRR 142 - Subproject B4"},{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"},{"name":"TRR 142: Maßgeschneiderte nichtlineare Photonik: Von grundlegenden Konzepten zu funktionellen Strukturen","_id":"53"}],"_id":"29747","language":[{"iso":"eng"}],"keyword":["Mechanical Engineering","Condensed Matter Physics","General Materials Science","General Chemistry","Bioengineering"]},{"title":"Managing spectral properties and Schmidt mode content of squeezed vacuum light using sum-frequency converter","doi":"10.1016/j.optlastec.2020.106769","date_updated":"2025-12-16T11:27:32Z","publisher":"Elsevier BV","author":[{"first_name":"Vladislav","full_name":"Sukharnikov, Vladislav","last_name":"Sukharnikov"},{"first_name":"Polina","last_name":"Sharapova","id":"60286","full_name":"Sharapova, Polina"},{"first_name":"Olga","last_name":"Tikhonova","full_name":"Tikhonova, Olga"}],"date_created":"2023-01-26T14:03:44Z","volume":136,"year":"2021","citation":{"short":"V. Sukharnikov, P. Sharapova, O. Tikhonova, Optics & Laser Technology 136 (2021).","bibtex":"@article{Sukharnikov_Sharapova_Tikhonova_2021, title={Managing spectral properties and Schmidt mode content of squeezed vacuum light using sum-frequency converter}, volume={136}, DOI={10.1016/j.optlastec.2020.106769}, number={106769}, journal={Optics & Laser Technology}, publisher={Elsevier BV}, author={Sukharnikov, Vladislav and Sharapova, Polina and Tikhonova, Olga}, year={2021} }","mla":"Sukharnikov, Vladislav, et al. “Managing Spectral Properties and Schmidt Mode Content of Squeezed Vacuum Light Using Sum-Frequency Converter.” Optics & Laser Technology, vol. 136, 106769, Elsevier BV, 2021, doi:10.1016/j.optlastec.2020.106769.","apa":"Sukharnikov, V., Sharapova, P., & Tikhonova, O. (2021). Managing spectral properties and Schmidt mode content of squeezed vacuum light using sum-frequency converter. Optics & Laser Technology, 136, Article 106769. https://doi.org/10.1016/j.optlastec.2020.106769","ama":"Sukharnikov V, Sharapova P, Tikhonova O. Managing spectral properties and Schmidt mode content of squeezed vacuum light using sum-frequency converter. Optics & Laser Technology. 2021;136. doi:10.1016/j.optlastec.2020.106769","chicago":"Sukharnikov, Vladislav, Polina Sharapova, and Olga Tikhonova. “Managing Spectral Properties and Schmidt Mode Content of Squeezed Vacuum Light Using Sum-Frequency Converter.” Optics & Laser Technology 136 (2021). https://doi.org/10.1016/j.optlastec.2020.106769.","ieee":"V. Sukharnikov, P. Sharapova, and O. Tikhonova, “Managing spectral properties and Schmidt mode content of squeezed vacuum light using sum-frequency converter,” Optics & Laser Technology, vol. 136, Art. no. 106769, 2021, doi: 10.1016/j.optlastec.2020.106769."},"intvolume":" 136","publication_status":"published","publication_identifier":{"issn":["0030-3992"]},"article_number":"106769","keyword":["Electrical and Electronic Engineering","Atomic and Molecular Physics","and Optics","Electronic","Optical and Magnetic Materials"],"language":[{"iso":"eng"}],"_id":"40379","user_id":"16199","department":[{"_id":"15"},{"_id":"569"},{"_id":"170"},{"_id":"230"},{"_id":"35"}],"status":"public","type":"journal_article","publication":"Optics & Laser Technology"},{"year":"2020","date_created":"2020-09-21T17:01:11Z","publisher":"Springer","title":"ProConAR: A Tool Support for Model-based AR Product Configuration","publication":"Human-Centered Software Engineering. HCSE 2020","file":[{"date_updated":"2020-11-30T08:39:18Z","date_created":"2020-11-30T08:39:18Z","creator":"sego","file_size":3913885,"file_id":"20542","file_name":"HCSE20_demo.pdf","access_level":"open_access","content_type":"application/pdf","relation":"main_file"}],"abstract":[{"lang":"eng","text":"Mobile shopping apps have been using Augmented Reality (AR) in the last years to place their products in the environment of the customer. While this is possible with atomic 3D objects, there is is still a lack in the runtime configuration of 3D object compositions based on user needs and environmental constraints. For this, we previously developed an approach for model-based AR-assisted product configuration based on the concept of Dynamic Software Product Lines. In this demonstration paper, we present the corresponding tool support ProConAR in the form of a Product Modeler and a Product Configurator. While the Product Modeler is an Angular web app that splits products (e.g. table) up into atomic parts (e.g. tabletop, table legs, funnier) and saves it within a configuration model, the Product Configurator is an Android client that uses the configuration model to place different product configurations within the environment of the customer. We show technical details of our ready to use tool-chain ProConAR by describing its implementation and usage as well as pointing out future research directions."}],"language":[{"iso":"eng"}],"ddc":["000"],"keyword":["Product Configuration","Augmented Reality","Model-based","Tool Support"],"has_accepted_license":"1","citation":{"chicago":"Gottschalk, Sebastian, Enes Yigitbas, Eugen Schmidt, and Gregor Engels. “ProConAR: A Tool Support for Model-Based AR Product Configuration.” In Human-Centered Software Engineering. HCSE 2020, edited by Regina Bernhaupt, Carmelo Ardito, and Stefan Sauer, Vol. 12481. Lecture Notes in Computer Science. Cham: Springer, 2020. https://doi.org/10.1007/978-3-030-64266-2_14.","ieee":"S. Gottschalk, E. Yigitbas, E. Schmidt, and G. Engels, “ProConAR: A Tool Support for Model-based AR Product Configuration,” in Human-Centered Software Engineering. HCSE 2020, Eindhoven, 2020, vol. 12481.","ama":"Gottschalk S, Yigitbas E, Schmidt E, Engels G. ProConAR: A Tool Support for Model-based AR Product Configuration. In: Bernhaupt R, Ardito C, Sauer S, eds. Human-Centered Software Engineering. HCSE 2020. Vol 12481. Lecture Notes in Computer Science. Cham: Springer; 2020. doi:10.1007/978-3-030-64266-2_14","mla":"Gottschalk, Sebastian, et al. “ProConAR: A Tool Support for Model-Based AR Product Configuration.” Human-Centered Software Engineering. HCSE 2020, edited by Regina Bernhaupt et al., vol. 12481, Springer, 2020, doi:10.1007/978-3-030-64266-2_14.","bibtex":"@inproceedings{Gottschalk_Yigitbas_Schmidt_Engels_2020, place={Cham}, series={Lecture Notes in Computer Science}, title={ProConAR: A Tool Support for Model-based AR Product Configuration}, volume={12481}, DOI={10.1007/978-3-030-64266-2_14}, booktitle={Human-Centered Software Engineering. HCSE 2020}, publisher={Springer}, author={Gottschalk, Sebastian and Yigitbas, Enes and Schmidt, Eugen and Engels, Gregor}, editor={Bernhaupt, Regina and Ardito, Carmelo and Sauer, StefanEditors}, year={2020}, collection={Lecture Notes in Computer Science} }","short":"S. Gottschalk, E. Yigitbas, E. Schmidt, G. Engels, in: R. Bernhaupt, C. Ardito, S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020, Springer, Cham, 2020.","apa":"Gottschalk, S., Yigitbas, E., Schmidt, E., & Engels, G. (2020). ProConAR: A Tool Support for Model-based AR Product Configuration. In R. Bernhaupt, C. Ardito, & S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020 (Vol. 12481). Cham: Springer. https://doi.org/10.1007/978-3-030-64266-2_14"},"intvolume":" 12481","place":"Cham","author":[{"first_name":"Sebastian","full_name":"Gottschalk, Sebastian","id":"47208","last_name":"Gottschalk"},{"first_name":"Enes","full_name":"Yigitbas, Enes","id":"8447","orcid":"0000-0002-5967-833X","last_name":"Yigitbas"},{"last_name":"Schmidt","full_name":"Schmidt, Eugen","first_name":"Eugen"},{"first_name":"Gregor","id":"107","full_name":"Engels, Gregor","last_name":"Engels"}],"volume":12481,"date_updated":"2022-01-06T06:54:07Z","oa":"1","conference":{"end_date":"2020-12-02","location":"Eindhoven","name":"8th International Working Conference on Human-Centered Software Engineering (HCSE'20)","start_date":"2020-11-30"},"doi":"10.1007/978-3-030-64266-2_14","type":"conference","status":"public","editor":[{"first_name":"Regina","last_name":"Bernhaupt","full_name":"Bernhaupt, Regina"},{"first_name":"Carmelo","last_name":"Ardito","full_name":"Ardito, Carmelo"},{"last_name":"Sauer","full_name":"Sauer, Stefan","first_name":"Stefan"}],"user_id":"47208","series_title":"Lecture Notes in Computer Science","department":[{"_id":"66"},{"_id":"534"}],"project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"17","name":"SFB 901 - Subproject C5"}],"_id":"19606","file_date_updated":"2020-11-30T08:39:18Z"},{"has_accepted_license":"1","page":"276-286","intvolume":" 391","citation":{"chicago":"Gottschalk, Sebastian, Enes Yigitbas, and Gregor Engels. “Model-Based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs.” In Business Modeling and Software Design, edited by Boris Shishkov, 391:276–86. Lecture Notes in Business Information Processing. Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-52306-0_18.","ieee":"S. Gottschalk, E. Yigitbas, and G. Engels, “Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs,” in Business Modeling and Software Design, Potsdam, 2020, vol. 391, pp. 276–286.","ama":"Gottschalk S, Yigitbas E, Engels G. Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs. In: Shishkov B, ed. Business Modeling and Software Design. Vol 391. Lecture Notes in Business Information Processing. Springer International Publishing; 2020:276-286. doi:10.1007/978-3-030-52306-0_18","short":"S. Gottschalk, E. Yigitbas, G. Engels, in: B. Shishkov (Ed.), Business Modeling and Software Design, Springer International Publishing, 2020, pp. 276–286.","mla":"Gottschalk, Sebastian, et al. “Model-Based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs.” Business Modeling and Software Design, edited by Boris Shishkov, vol. 391, Springer International Publishing, 2020, pp. 276–86, doi:10.1007/978-3-030-52306-0_18.","bibtex":"@inproceedings{Gottschalk_Yigitbas_Engels_2020, series={Lecture Notes in Business Information Processing}, title={Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs}, volume={391}, DOI={10.1007/978-3-030-52306-0_18}, booktitle={Business Modeling and Software Design}, publisher={Springer International Publishing}, author={Gottschalk, Sebastian and Yigitbas, Enes and Engels, Gregor}, editor={Shishkov, BorisEditor}, year={2020}, pages={276–286}, collection={Lecture Notes in Business Information Processing} }","apa":"Gottschalk, S., Yigitbas, E., & Engels, G. (2020). Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs. In B. Shishkov (Ed.), Business Modeling and Software Design (Vol. 391, pp. 276–286). Potsdam: Springer International Publishing. https://doi.org/10.1007/978-3-030-52306-0_18"},"date_updated":"2022-01-06T06:52:59Z","oa":"1","volume":391,"author":[{"id":"47208","full_name":"Gottschalk, Sebastian","last_name":"Gottschalk","first_name":"Sebastian"},{"first_name":"Enes","id":"8447","full_name":"Yigitbas, Enes","last_name":"Yigitbas","orcid":"0000-0002-5967-833X"},{"first_name":"Gregor","last_name":"Engels","id":"107","full_name":"Engels, Gregor"}],"conference":{"end_date":"2020-07-08","location":"Potsdam","name":"10th International Symposium on Business Modeling and Software Design ","start_date":"2020-07-06"},"doi":"10.1007/978-3-030-52306-0_18","type":"conference","editor":[{"full_name":"Shishkov, Boris","last_name":"Shishkov","first_name":"Boris"}],"status":"public","_id":"16934","project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"17","name":"SFB 901 - Subproject C5"}],"department":[{"_id":"66"}],"user_id":"47208","series_title":"Lecture Notes in Business Information Processing","file_date_updated":"2020-07-14T09:28:33Z","year":"2020","publisher":"Springer International Publishing","date_created":"2020-05-04T12:27:38Z","title":"Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs","publication":"Business Modeling and Software Design","abstract":[{"lang":"eng","text":"To build successful products, the developers have to adapt their product features and business models to uncertain customer needs. This adaptation is part of the research discipline of Hypotheses Engineering (HE) where customer needs can be seen as hypotheses that need to be tested iteratively by conducting experiments together with the customer. So far, modeling support and associated traceability of this iterative process are missing. Both, in turn, are important to document the adaptation to the customer needs and identify experiments that provide most evidence to the customer needs. To target this issue, we introduce a model-based HE approach with a twofold contribution: First, we develop a modeling language that models hypotheses and experiments as interrelated hierarchies together with a mapping between them. While the hypotheses are labeled with a score level of their current evidence, the experiments are labeled with a score level of maximum evidence that can be achieved during conduction. Second, we provide an iterative process to determine experiments that offer the most evidence improvement to the modeled hypotheses. We illustrate the usefulness of the approach with an example of testing the business model of a mobile application."}],"file":[{"relation":"main_file","content_type":"application/pdf","access_level":"open_access","file_name":"BMSD20.pdf","file_id":"17380","file_size":267658,"creator":"sego","date_created":"2020-07-14T09:25:30Z","date_updated":"2020-07-14T09:28:33Z"}],"keyword":["Hypothesis Engineering","Model-based","Customer Need Adaptation","Business Model","Product Features"],"ddc":["006"],"language":[{"iso":"eng"}]},{"main_file_link":[{"open_access":"1","url":"https://ssrn.com/abstract=3581789"}],"title":"Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre","author":[{"full_name":"Schryen, Guido","id":"72850","last_name":"Schryen","first_name":"Guido"},{"last_name":"Wagner","full_name":"Wagner, Gerit","first_name":"Gerit"},{"full_name":"Benlian, Alexander","last_name":"Benlian","first_name":"Alexander"}],"date_created":"2020-05-19T15:12:33Z","oa":"1","date_updated":"2022-01-06T06:53:02Z","citation":{"bibtex":"@book{Schryen_Wagner_Benlian_2020, title={Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre}, author={Schryen, Guido and Wagner, Gerit and Benlian, Alexander}, year={2020} }","short":"G. Schryen, G. Wagner, A. Benlian, Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre, 2020.","mla":"Schryen, Guido, et al. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre. 2020.","apa":"Schryen, G., Wagner, G., & Benlian, A. (2020). Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre.","ama":"Schryen G, Wagner G, Benlian A. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre.; 2020.","ieee":"G. Schryen, G. Wagner, and A. Benlian, Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre. 2020.","chicago":"Schryen, Guido, Gerit Wagner, and Alexander Benlian. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre, 2020."},"year":"2020","has_accepted_license":"1","language":[{"iso":"eng"}],"file_date_updated":"2020-05-19T15:09:28Z","keyword":["Scientific impact","knowledge impact","content-based citation analysis","methodology"],"ddc":["000"],"department":[{"_id":"277"}],"user_id":"61579","_id":"17019","status":"public","file":[{"content_type":"application/pdf","relation":"main_file","date_updated":"2020-05-19T15:09:28Z","creator":"hsiemes","date_created":"2020-05-19T15:09:28Z","file_size":487351,"file_id":"17020","file_name":"SSRN-id3581789.pdf","access_level":"open_access"}],"abstract":[{"text":"The scientific impact of research papers is multi-dimensional and can be determined quantitatively by means of citation analysis and qualitatively by means of content analysis. Accounting for the widely acknowledged limitations of pure citation analysis, we adopt a knowledge-based perspective on scientific impact to develop a methodology for content-based citation analysis which allows determining how papers have enabled knowledge development in subsequent research (knowledge impact). As knowledge development differs between research genres, we develop a new knowledgebased citation analysis methodology for the genre of standalone literature reviews (LRs). We apply the suggested methodology to the IS business value domain by manually coding 22 LRs and 1,228 citing papers (CPs) and show that the results challenge the assumption that citations indicate knowledge impact. We derive implications for distinguishing knowledge impact from citation impact in the LR genre. Finally, we develop recommendations for authors of LRs, scientific evaluation committees and editorial boards of journals how to apply and benefit from the suggested methodology, and we discuss its efficiency and automatization.","lang":"eng"}],"type":"working_paper"},{"has_accepted_license":"1","citation":{"short":"J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 391--400.","mla":"Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, 2020, pp. 391--400.","bibtex":"@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={Aspect Phrase Extraction in Sentiment Analysis with Deep Learning}, booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos, Michaela}, year={2020}, pages={391--400} }","apa":"Kersting, J., & Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020) (pp. 391--400). Setúbal, Portugal: SCITEPRESS.","chicago":"Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), 391--400. Setúbal, Portugal: SCITEPRESS, 2020.","ieee":"J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning,” in Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), Valetta, Malta, 2020, pp. 391--400.","ama":"Kersting J, Geierhos M. Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020). Setúbal, Portugal: SCITEPRESS; 2020:391--400."},"page":"391--400","place":"Setúbal, Portugal","author":[{"first_name":"Joschka","last_name":"Kersting","id":"58701","full_name":"Kersting, Joschka"},{"first_name":"Michaela","orcid":"0000-0002-8180-5606","last_name":"Geierhos","full_name":"Geierhos, Michaela","id":"42496"}],"date_updated":"2022-01-06T06:52:29Z","conference":{"name":"International Conference on Agents and Artificial Intelligence (ICAART) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI)","location":"Valetta, Malta"},"type":"conference","status":"public","user_id":"58701","department":[{"_id":"579"}],"project":[{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"1","name":"SFB 901"},{"_id":"9","name":"SFB 901 - Subproject B1"}],"_id":"15580","file_date_updated":"2020-09-18T09:27:00Z","year":"2020","date_created":"2020-01-15T08:35:07Z","publisher":"SCITEPRESS","title":"Aspect Phrase Extraction in Sentiment Analysis with Deep Learning","publication":"Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)","file":[{"content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2020-09-18T09:27:00Z","creator":"jkers","date_created":"2020-09-18T09:27:00Z","file_size":421780,"file_id":"19576","access_level":"closed","file_name":"Kersting & Geierhos (2020), Kersting2020.pdf"}],"abstract":[{"text":"This paper deals with aspect phrase extraction and classification in sentiment analysis. We summarize current approaches and datasets from the domain of aspect-based sentiment analysis. This domain detects sentiments expressed for individual aspects in unstructured text data. So far, mainly commercial user reviews for products or services such as restaurants were investigated. We here present our dataset consisting of German physician reviews, a sensitive and linguistically complex field. Furthermore, we describe the annotation process of a dataset for supervised learning with neural networks. Moreover, we introduce our model for extracting and classifying aspect phrases in one step, which obtains an F1-score of 80%. By applying it to a more complex domain, our approach and results outperform previous approaches.","lang":"eng"}],"language":[{"iso":"eng"}],"ddc":["000"],"keyword":["Deep Learning","Natural Language Processing","Aspect-based Sentiment Analysis"]},{"publication":"Communications of the AIS","file":[{"date_updated":"2020-03-05T10:36:15Z","creator":"schryen","date_created":"2020-02-26T18:12:29Z","file_size":1146830,"file_name":"RA-18-198.pdf","file_id":"16115","access_level":"open_access","content_type":"application/pdf","relation":"main_file"}],"abstract":[{"lang":"eng","text":"Literature reviews (LRs) play an important role in the development of domain knowledge in all fields. Yet, we observe a\r\nlack of insights into the activities with which LRs actually develop knowledge. To address this important gap, we (1)\r\nderive knowledge building activities from the extant literature on LRs, (2) suggest a knowledge-based typology of LRs\r\nthat complements existing typologies, and (3) apply the suggested typology in an empirical study that explores how LRs\r\nwith different goals and methodologies have contributed to knowledge development. The analysis of 240 LRs published\r\nin 40 renowned IS journals between 2000 and 2014 allows us to draw a detailed picture of knowledge development\r\nachieved by one of the most important genres in the IS field. An overarching contribution of our work is to unify extant\r\nconceptualizations of LRs by clarifying and illustrating how LRs apply different methodologies in a range of knowledge\r\nbuilding activities to achieve their goals with respect to theory."}],"language":[{"iso":"eng"}],"keyword":["Literature review","knowledge development","knowledge building activities","knowledge-based typology","information systems research"],"ddc":["000"],"year":"2020","date_created":"2019-07-12T12:01:02Z","title":"A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field","type":"journal_article","status":"public","department":[{"_id":"277"}],"user_id":"72850","_id":"11946","file_date_updated":"2020-03-05T10:36:15Z","publication_identifier":{"issn":[" 1529-3181"]},"has_accepted_license":"1","page":"134-186","intvolume":" 46","citation":{"chicago":"Schryen, Guido, Gerit Wagner, Alexander Benlian, and Guy Paré. “A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field.” Communications of the AIS 46 (2020): 134–86. https://doi.org/10.17705/1CAIS.04607.","ieee":"G. Schryen, G. Wagner, A. Benlian, and G. Paré, “A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field,” Communications of the AIS, vol. 46, pp. 134–186, 2020, doi: 10.17705/1CAIS.04607.","apa":"Schryen, G., Wagner, G., Benlian, A., & Paré, G. (2020). A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field. Communications of the AIS, 46, 134–186. https://doi.org/10.17705/1CAIS.04607","ama":"Schryen G, Wagner G, Benlian A, Paré G. A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field. Communications of the AIS. 2020;46:134-186. doi:10.17705/1CAIS.04607","short":"G. Schryen, G. Wagner, A. Benlian, G. Paré, Communications of the AIS 46 (2020) 134–186.","bibtex":"@article{Schryen_Wagner_Benlian_Paré_2020, title={A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field}, volume={46}, DOI={10.17705/1CAIS.04607}, journal={Communications of the AIS}, author={Schryen, Guido and Wagner, Gerit and Benlian, Alexander and Paré, Guy}, year={2020}, pages={134–186} }","mla":"Schryen, Guido, et al. “A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field.” Communications of the AIS, vol. 46, 2020, pp. 134–86, doi:10.17705/1CAIS.04607."},"volume":46,"author":[{"last_name":"Schryen","id":"72850","full_name":"Schryen, Guido","first_name":"Guido"},{"last_name":"Wagner","full_name":"Wagner, Gerit","first_name":"Gerit"},{"last_name":"Benlian","full_name":"Benlian, Alexander","first_name":"Alexander"},{"first_name":"Guy","last_name":"Paré","full_name":"Paré, Guy"}],"date_updated":"2022-06-10T06:38:58Z","oa":"1","doi":"10.17705/1CAIS.04607"},{"publication":"Physical Chemistry Chemical Physics","type":"journal_article","abstract":[{"text":"State-of-the-art methods in materials science such as artificial intelligence and data-driven techniques advance the investigation of photovoltaic materials.
","lang":"eng"}],"status":"public","_id":"32246","project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"department":[{"_id":"27"}],"user_id":"15278","keyword":["Physical and Theoretical Chemistry","General Physics and Astronomy"],"language":[{"iso":"eng"}],"publication_identifier":{"issn":["1463-9076","1463-9084"]},"publication_status":"published","issue":"46","year":"2020","intvolume":" 22","page":"26682-26701","citation":{"ama":"Mirhosseini H, Kormath Madam Raghupathy R, Sahoo SK, Wiebeler H, Chugh M, Kühne TD. In silico investigation of Cu(In,Ga)Se2-based solar cells. Physical Chemistry Chemical Physics. 2020;22(46):26682-26701. doi:10.1039/d0cp04712k","ieee":"H. Mirhosseini, R. Kormath Madam Raghupathy, S. K. Sahoo, H. Wiebeler, M. Chugh, and T. D. Kühne, “In silico investigation of Cu(In,Ga)Se2-based solar cells,” Physical Chemistry Chemical Physics, vol. 22, no. 46, pp. 26682–26701, 2020, doi: 10.1039/d0cp04712k.","chicago":"Mirhosseini, Hossein, Ramya Kormath Madam Raghupathy, Sudhir K. Sahoo, Hendrik Wiebeler, Manjusha Chugh, and Thomas D. Kühne. “In Silico Investigation of Cu(In,Ga)Se2-Based Solar Cells.” Physical Chemistry Chemical Physics 22, no. 46 (2020): 26682–701. https://doi.org/10.1039/d0cp04712k.","bibtex":"@article{Mirhosseini_Kormath Madam Raghupathy_Sahoo_Wiebeler_Chugh_Kühne_2020, title={In silico investigation of Cu(In,Ga)Se2-based solar cells}, volume={22}, DOI={10.1039/d0cp04712k}, number={46}, journal={Physical Chemistry Chemical Physics}, publisher={Royal Society of Chemistry (RSC)}, author={Mirhosseini, Hossein and Kormath Madam Raghupathy, Ramya and Sahoo, Sudhir K. and Wiebeler, Hendrik and Chugh, Manjusha and Kühne, Thomas D.}, year={2020}, pages={26682–26701} }","mla":"Mirhosseini, Hossein, et al. “In Silico Investigation of Cu(In,Ga)Se2-Based Solar Cells.” Physical Chemistry Chemical Physics, vol. 22, no. 46, Royal Society of Chemistry (RSC), 2020, pp. 26682–701, doi:10.1039/d0cp04712k.","short":"H. Mirhosseini, R. Kormath Madam Raghupathy, S.K. Sahoo, H. Wiebeler, M. Chugh, T.D. Kühne, Physical Chemistry Chemical Physics 22 (2020) 26682–26701.","apa":"Mirhosseini, H., Kormath Madam Raghupathy, R., Sahoo, S. K., Wiebeler, H., Chugh, M., & Kühne, T. D. (2020). In silico investigation of Cu(In,Ga)Se2-based solar cells. Physical Chemistry Chemical Physics, 22(46), 26682–26701. https://doi.org/10.1039/d0cp04712k"},"publisher":"Royal Society of Chemistry (RSC)","date_updated":"2022-06-28T08:03:05Z","volume":22,"date_created":"2022-06-28T08:02:39Z","author":[{"first_name":"Hossein","full_name":"Mirhosseini, Hossein","last_name":"Mirhosseini"},{"first_name":"Ramya","last_name":"Kormath Madam Raghupathy","full_name":"Kormath Madam Raghupathy, Ramya"},{"full_name":"Sahoo, Sudhir K.","last_name":"Sahoo","first_name":"Sudhir K."},{"last_name":"Wiebeler","full_name":"Wiebeler, Hendrik","first_name":"Hendrik"},{"first_name":"Manjusha","last_name":"Chugh","full_name":"Chugh, Manjusha"},{"last_name":"Kühne","full_name":"Kühne, Thomas D.","first_name":"Thomas D."}],"title":"In silico investigation of Cu(In,Ga)Se2-based solar cells","doi":"10.1039/d0cp04712k"},{"keyword":["Physical and Theoretical Chemistry","General Physics and Astronomy"],"language":[{"iso":"eng"}],"_id":"34301","user_id":"60250","abstract":[{"text":"\r\n\t\t\t\t\t\t