Neural networks vs Gaussian process regression for representing potential energy surfaces: A comparative study of fit quality and vibrational spectrum accuracy A Kamath, RA Vargas-Hernández, RV Krems, T Carrington, S Manzhos The Journal of chemical physics 148 (24), 2018 | 224 | 2018 |
Machine learning optimization of the collocation point set for solving the Kohn–Sham equation J Ku, A Kamath, T Carrington Jr, S Manzhos The Journal of Physical Chemistry A 123 (49), 10631-10642, 2019 | 16 | 2019 |
Inverse multiquadratic functions as the basis for the rectangular collocation method to solve the vibrational Schrödinger equation A Kamath, S Manzhos Mathematics 6 (11), 253, 2018 | 12 | 2018 |
Characterization of Zr-Nb-Fe (-Cr) precipitates in Zr-based alloys using density functional theory A Kamath, A Tamm, F Long, M Griffiths, MR Daymond, LK Béland Materials Today Communications 31, 103381, 2022 | 3 | 2022 |
Machine learning optimization of the collocation point set for solving the electronic Schrödinger equation J Ku, A Kamath, T Carrington Jr, S Manzhos arXiv preprint arXiv:1904.07122, 2019 | 1 | 2019 |
Solid-State Phase Transformation Explains the Mixed Crystallographic Character of Zr(Nb,Fe)2 Nanoprecipitates in Zr-2.5Nb A Kamath, F Long, S Aiyeru, M Griffiths, A Tamm, MR Daymond, ... The Journal of Physical Chemistry C 127 (41), 20503-20510, 2023 | | 2023 |