{"date_updated":"2022-10-10T08:24:13Z","article_number":"110567","user_id":"71051","language":[{"iso":"eng"}],"date_created":"2022-10-10T08:23:50Z","volume":197,"author":[{"first_name":"Hossein","last_name":"Mirhosseini","full_name":"Mirhosseini, Hossein","orcid":"0000-0001-6179-1545","id":"71051"},{"first_name":"Hossein","last_name":"Tahmasbi","full_name":"Tahmasbi, Hossein"},{"last_name":"Kuchana","full_name":"Kuchana, Sai Ram","first_name":"Sai Ram"},{"last_name":"Ghasemi","id":"77282","full_name":"Ghasemi, Alireza","first_name":"Alireza"},{"full_name":"Kühne, Thomas","id":"49079","last_name":"Kühne","first_name":"Thomas"}],"keyword":["Computational Mathematics","General Physics and Astronomy","Mechanics of Materials","General Materials Science","General Chemistry","General Computer Science"],"citation":{"apa":"Mirhosseini, H., Tahmasbi, H., Kuchana, S. R., Ghasemi, A., &#38; Kühne, T. (2021). An automated approach for developing neural network interatomic potentials with FLAME. <i>Computational Materials Science</i>, <i>197</i>, Article 110567. <a href=\"https://doi.org/10.1016/j.commatsci.2021.110567\">https://doi.org/10.1016/j.commatsci.2021.110567</a>","short":"H. Mirhosseini, H. Tahmasbi, S.R. Kuchana, A. Ghasemi, T. Kühne, Computational Materials Science 197 (2021).","mla":"Mirhosseini, Hossein, et al. “An Automated Approach for Developing Neural Network Interatomic Potentials with FLAME.” <i>Computational Materials Science</i>, vol. 197, 110567, Elsevier BV, 2021, doi:<a href=\"https://doi.org/10.1016/j.commatsci.2021.110567\">10.1016/j.commatsci.2021.110567</a>.","ama":"Mirhosseini H, Tahmasbi H, Kuchana SR, Ghasemi A, Kühne T. An automated approach for developing neural network interatomic potentials with FLAME. <i>Computational Materials Science</i>. 2021;197. doi:<a href=\"https://doi.org/10.1016/j.commatsci.2021.110567\">10.1016/j.commatsci.2021.110567</a>","bibtex":"@article{Mirhosseini_Tahmasbi_Kuchana_Ghasemi_Kühne_2021, title={An automated approach for developing neural network interatomic potentials with FLAME}, volume={197}, DOI={<a href=\"https://doi.org/10.1016/j.commatsci.2021.110567\">10.1016/j.commatsci.2021.110567</a>}, number={110567}, journal={Computational Materials Science}, publisher={Elsevier BV}, author={Mirhosseini, Hossein and Tahmasbi, Hossein and Kuchana, Sai Ram and Ghasemi, Alireza and Kühne, Thomas}, year={2021} }","chicago":"Mirhosseini, Hossein, Hossein Tahmasbi, Sai Ram Kuchana, Alireza Ghasemi, and Thomas Kühne. “An Automated Approach for Developing Neural Network Interatomic Potentials with FLAME.” <i>Computational Materials Science</i> 197 (2021). <a href=\"https://doi.org/10.1016/j.commatsci.2021.110567\">https://doi.org/10.1016/j.commatsci.2021.110567</a>.","ieee":"H. Mirhosseini, H. Tahmasbi, S. R. Kuchana, A. Ghasemi, and T. Kühne, “An automated approach for developing neural network interatomic potentials with FLAME,” <i>Computational Materials Science</i>, vol. 197, Art. no. 110567, 2021, doi: <a href=\"https://doi.org/10.1016/j.commatsci.2021.110567\">10.1016/j.commatsci.2021.110567</a>."},"publication":"Computational Materials Science","department":[{"_id":"613"}],"year":"2021","type":"journal_article","doi":"10.1016/j.commatsci.2021.110567","_id":"33657","intvolume":"       197","title":"An automated approach for developing neural network interatomic potentials with FLAME","status":"public","publisher":"Elsevier BV","publication_status":"published","publication_identifier":{"issn":["0927-0256"]}}