{"publication_status":"published","volume":154,"issue":"7","department":[{"_id":"613"}],"keyword":["Physical and Theoretical Chemistry","General Physics and Astronomy"],"doi":"10.1063/5.0037319","citation":{"short":"A. Ghasemi, T. Kühne, The Journal of Chemical Physics 154 (2021).","ieee":"A. Ghasemi and T. Kühne, “Artificial neural networks for the kinetic energy functional of non-interacting fermions,” <i>The Journal of Chemical Physics</i>, vol. 154, no. 7, Art. no. 074107, 2021, doi: <a href=\"https://doi.org/10.1063/5.0037319\">10.1063/5.0037319</a>.","mla":"Ghasemi, Alireza, and Thomas Kühne. “Artificial Neural Networks for the Kinetic Energy Functional of Non-Interacting Fermions.” <i>The Journal of Chemical Physics</i>, vol. 154, no. 7, 074107, AIP Publishing, 2021, doi:<a href=\"https://doi.org/10.1063/5.0037319\">10.1063/5.0037319</a>.","chicago":"Ghasemi, Alireza, and Thomas Kühne. “Artificial Neural Networks for the Kinetic Energy Functional of Non-Interacting Fermions.” <i>The Journal of Chemical Physics</i> 154, no. 7 (2021). <a href=\"https://doi.org/10.1063/5.0037319\">https://doi.org/10.1063/5.0037319</a>.","apa":"Ghasemi, A., &#38; Kühne, T. (2021). Artificial neural networks for the kinetic energy functional of non-interacting fermions. <i>The Journal of Chemical Physics</i>, <i>154</i>(7), Article 074107. <a href=\"https://doi.org/10.1063/5.0037319\">https://doi.org/10.1063/5.0037319</a>","ama":"Ghasemi A, Kühne T. Artificial neural networks for the kinetic energy functional of non-interacting fermions. <i>The Journal of Chemical Physics</i>. 2021;154(7). doi:<a href=\"https://doi.org/10.1063/5.0037319\">10.1063/5.0037319</a>","bibtex":"@article{Ghasemi_Kühne_2021, title={Artificial neural networks for the kinetic energy functional of non-interacting fermions}, volume={154}, DOI={<a href=\"https://doi.org/10.1063/5.0037319\">10.1063/5.0037319</a>}, number={7074107}, journal={The Journal of Chemical Physics}, publisher={AIP Publishing}, author={Ghasemi, Alireza and Kühne, Thomas}, year={2021} }"},"publication_identifier":{"issn":["0021-9606","1089-7690"]},"language":[{"iso":"eng"}],"_id":"33648","year":"2021","publisher":"AIP Publishing","publication":"The Journal of Chemical Physics","article_number":"074107","date_created":"2022-10-10T08:14:44Z","author":[{"first_name":"Alireza","last_name":"Ghasemi","id":"77282","full_name":"Ghasemi, Alireza"},{"full_name":"Kühne, Thomas","id":"49079","last_name":"Kühne","first_name":"Thomas"}],"status":"public","intvolume":"       154","user_id":"71051","type":"journal_article","date_updated":"2022-10-10T08:14:57Z","title":"Artificial neural networks for the kinetic energy functional of non-interacting fermions"}