| Machine-learning-assisted insight into spin ice Dy2Ti2O7 AM Samarakoon, K Barros, YW Li, M Eisenbach, Q Zhang, F Ye, ... Nature communications 11 (1), 892, 2020 | 82 | 2020 |
| Machine learning assisted derivation of minimal low-energy models for metallic magnets V Sharma, Z Wang, CD Batista npj Computational Materials 9 (1), 192, 2023 | 3 | 2023 |
| Machine learning assisted derivation of effective low energy models for metallic magnets V Sharma, Z Wang, CD Batista arXiv preprint arXiv:2212.09796, 2022 | 3 | 2022 |
| Cooper-Pair Localization in the Magnetic Dynamics of a Cuprate Ladder D Tennant, C Batista, V Sharma, A Scheie, P Laurell, G Alvarez, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| Derivation of effective low energy models using machine learning V Sharma, Z Wang, C Batista APS March Meeting Abstracts 2023, K54. 010, 2023 | | 2023 |
| Unlocking the Potential of Machine Learning in the Derivation of Low-Energy Models for Metallic Magnets V Sharma | | 2023 |
| Application of machine learning to investigate the stabilization of skyrmions on a triangular Kondo lattice V Sharma, C Batista, Z Wang APS March Meeting Abstracts 2022, M64. 006, 2022 | | 2022 |
| Construction of low energy effective Hamiltonians using supervised machine learning V Sharma, Z Wang, C Batista APS March Meeting Abstracts 2021, B40. 005, 2021 | | 2021 |
