{"date_updated":"2022-01-31T10:59:48Z","title":"Artificial neural networks for the kinetic energy functional of non-interacting fermions","type":"journal_article","user_id":"71692","page":"074107","intvolume":"       154","author":[{"last_name":"Ghasemi","first_name":"S. Alireza","full_name":"Ghasemi, S. Alireza"},{"full_name":"Kühne, Thomas D.","last_name":"Kühne","first_name":"Thomas D."}],"status":"public","date_created":"2022-01-31T10:59:01Z","publication":"The Journal of Chemical Physics","year":"2021","_id":"29699","language":[{"iso":"eng"}],"citation":{"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={7}, journal={The Journal of Chemical Physics}, author={Ghasemi, S. Alireza and Kühne, Thomas D.}, year={2021}, pages={074107} }","apa":"Ghasemi, S. A., &#38; Kühne, T. D. (2021). Artificial neural networks for the kinetic energy functional of non-interacting fermions. <i>The Journal of Chemical Physics</i>, <i>154</i>(7), 074107. <a href=\"https://doi.org/10.1063/5.0037319\">https://doi.org/10.1063/5.0037319</a>","ama":"Ghasemi SA, Kühne TD. Artificial neural networks for the kinetic energy functional of non-interacting fermions. <i>The Journal of Chemical Physics</i>. 2021;154(7):074107. doi:<a href=\"https://doi.org/10.1063/5.0037319\">10.1063/5.0037319</a>","short":"S.A. Ghasemi, T.D. Kühne, The Journal of Chemical Physics 154 (2021) 074107.","ieee":"S. A. Ghasemi and T. D. Kühne, “Artificial neural networks for the kinetic energy functional of non-interacting fermions,” <i>The Journal of Chemical Physics</i>, vol. 154, no. 7, p. 074107, 2021, doi: <a href=\"https://doi.org/10.1063/5.0037319\">10.1063/5.0037319</a>.","mla":"Ghasemi, S. Alireza, and Thomas D. Kühne. “Artificial Neural Networks for the Kinetic Energy Functional of Non-Interacting Fermions.” <i>The Journal of Chemical Physics</i>, vol. 154, no. 7, 2021, p. 074107, doi:<a href=\"https://doi.org/10.1063/5.0037319\">10.1063/5.0037319</a>.","chicago":"Ghasemi, S. Alireza, and Thomas D. Kühne. “Artificial Neural Networks for the Kinetic Energy Functional of Non-Interacting Fermions.” <i>The Journal of Chemical Physics</i> 154, no. 7 (2021): 074107. <a href=\"https://doi.org/10.1063/5.0037319\">https://doi.org/10.1063/5.0037319</a>."},"doi":"10.1063/5.0037319","department":[{"_id":"304"}],"issue":"7","volume":154,"project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}]}