| A foundation model for atomistic materials chemistry I Batatia*, P Benner*, Y Chiang*, AM Elena*, DP Kovács*, J Riebesell*, ... arXiv preprint arXiv:2401.00096, 2023 | 60 | 2023 |
| Accelerated prediction of atomically precise cluster structures using on-the-fly machine learning Y Wang, S Liu, P Lile, S Norwood, A Hernandez, S Manna, T Mueller npj Computational Materials 8 (1), 173, 2022 | 7 | 2022 |
| Zero shot molecular generation via similarity kernels R Elijošius, F Zills, I Batatia, SW Norwood, DP Kovács, C Holm, G Csányi arXiv preprint arXiv:2402.08708, 2024 | 3 | 2024 |
| CURATOR: Building robust machine learning potentials for atomistic simulations autonomously with batch active learning X Yang, MH Petersen, R Sechi, WS Hansen, SW Norwood, Y Krishnan, ... | 1 | 2024 |
| Enhancing the local expressivity of geometric graph neural networks SW Norwood, LL Schaaf, I Batatia, G Csanyi, A Bhowmik NeurIPS 2023 Workshop: Machine Learning and the Physical Sciences, 2023 | | 2023 |
| Machine Learning Methods for the Accelerated Global Structural Optimization of Thiolate-Protected Gold Nanoclusters SW Norwood Johns Hopkins University, 2020 | | 2020 |
| Galactosylated Dendrimer Targets Hepatocytes and Improves Therapeutic Outcomes in a Severe Model of Acetaminophen Poisoning JE Porterfield, R Sharma, A Sharma, A Jimenez, S Norwood, S Kannan, ... 2019 AIChE Annual Meeting, 2019 | | 2019 |
