| FINETUNA: fine-tuning accelerated molecular simulations J Musielewicz, X Wang, T Tian, Z Ulissi Machine Learning: Science and Technology 3 (3), 03LT01, 2022 | 30 | 2022 |
| Generalization of graph-based active learning relaxation strategies across materials X Wang, J Musielewicz, R Tran, SK Ethirajan, X Fu, H Mera, JR Kitchin, ... Machine Learning: Science and Technology 5 (2), 025018, 2024 | 5 | 2024 |
| Cluster-MLP: An Active Learning Genetic Algorithm Framework for Accelerated Discovery of Global Minimum Configurations of Pure and Alloyed Nanoclusters RK Raju, S Sivakumar, X Wang, ZW Ulissi Journal of Chemical Information and Modeling 63 (20), 6192-6197, 2023 | 3 | 2023 |
| Characterizing microplastic degradation in a simulated marine environment X Wang, R Shubella, E Ammidown, HCS Chenette J. Undergrad. Chem. Res 20, 49, 2021 | 2 | 2021 |
| Reliable Interval Prediction of Minimum Operating Voltage Based on On-Chip Monitors via Conformalized Quantile Regression Y Yin, X Wang, R Chen, C He, P Li 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024 | 1 | 2024 |
| Perovs-Dopants: Machine Learning Potentials for Doped Bulk Structures X Wang, S Park, S Miret AI for Accelerated Materials Design-NeurIPS 2024, 2024 | 1 | 2024 |
Zachary W. UlissiMeta Fundamental AI Research, Adjunct Professor CMU ChemEVahvistettu sähköpostiosoite verkkotunnuksessa meta.com