Wisesa, Pandu, and Saidi, Wissam A. Overcoming Inaccuracies in Machine Learning Interatomic Potential Implementation for Ionic Vacancy Simulations. Retrieved from https://par.nsf.gov/biblio/10573081. The Journal of Physical Chemistry Letters 16.1 Web. doi:10.1021/acs.jpclett.4c02934.

Wisesa, Pandu, & Saidi, Wissam A. Overcoming Inaccuracies in Machine Learning Interatomic Potential Implementation for Ionic Vacancy Simulations. The Journal of Physical Chemistry Letters, 16 (1). Retrieved from https://par.nsf.gov/biblio/10573081. https://doi.org/10.1021/acs.jpclett.4c02934

Wisesa, Pandu, and Saidi, Wissam A. "Overcoming Inaccuracies in Machine Learning Interatomic Potential Implementation for Ionic Vacancy Simulations". The Journal of Physical Chemistry Letters 16 (1). Country unknown/Code not available: ACS. https://doi.org/10.1021/acs.jpclett.4c02934. https://par.nsf.gov/biblio/10573081.

@article{osti_10573081,
place = {Country unknown/Code not available}, title = {Overcoming Inaccuracies in Machine Learning Interatomic Potential Implementation for Ionic Vacancy Simulations}, url = {https://par.nsf.gov/biblio/10573081}, DOI = {10.1021/acs.jpclett.4c02934}, abstractNote = {}, journal = {The Journal of Physical Chemistry Letters}, volume = {16}, number = {1}, publisher = {ACS}, author = {Wisesa, Pandu and Saidi, Wissam A}, }