| Exploring the necessary complexity of interatomic potentials JA Vita, DR Trinkle Computational Materials Science 200, 110752, 2021 | 13 | 2021 |
| Data efficiency and extrapolation trends in neural network interatomic potentials JA Vita, D Schwalbe-Koda Machine Learning: Science and Technology 4 (3), 035031, 2023 | 10 | 2023 |
| Atomistic insights into the effect of polymerization on the thermophysical properties of 2-D C60 molecular solids AQ Alsayoud, VR Manga, K Muralidharan, J Vita, S Bringuier, K Runge, ... Carbon 133, 267-274, 2018 | 9 | 2018 |
| Exploration of available feature detection and identification systems and their performance on radiographs AC Wantuch, JA Vita, ES Jimenez, IE Bray Radiation Detectors: Systems and Applications XVII 9969, 21-29, 2016 | 3 | 2016 |
| ColabFit exchange: Open-access datasets for data-driven interatomic potentials JA Vita, EG Fuemmeler, A Gupta, GP Wolfe, AQ Tao, RS Elliott, ... The Journal of Chemical Physics 159 (15), 2023 | 2 | 2023 |
| Hybrid object detection system for x-ray radiographs JA Vita, AC Wantuch, ES Jimenez, IE Bray Radiation Detectors: Systems and Applications XVII 9969, 37-44, 2016 | 1 | 2016 |
| LTAU-FF: Loss Trajectory Analysis for Uncertainty in Atomistic Force Fields JA Vita, A Samanta, F Zhou, V Lordi arXiv preprint arXiv:2402.00853, 2024 | | 2024 |
| Spline-based neural network interatomic potentials: Blending classical and machine learning models JA Vita, DR Trinkle Computational Materials Science 232, 112655, 2024 | | 2024 |
| Designing efficient, interpretable, and generalizable machine learning interatomic potentials JA Vita University of Illinois at Urbana-Champaign, 2023 | | 2023 |
| Data for:" Data efficiency and extrapolation trends in neural network interatomic potentials" D Schwalbe Koda, J Vita LLNL-IPO (LLNL Innovation and Partnerships Office (IPO)), 2023 | | 2023 |
| ColabFit: Collaborative Development of Data-Driven Interatomic Potentials J Vita APS March Meeting Abstracts 2022, F47. 009, 2022 | | 2022 |
| Hybrid Object Detection System for X-ray Radiographs. ES Jimenez, AC Wantuch, J Vita Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016 | | 2016 |
| Exploration of Available Feature Detection and Recognition Systems and their Performance on Radiographs. ES Jimenez, J Vita, AC Wantuch Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016 | | 2016 |
| Object Recognition in X-ray Images. J Vita, ES Jimenez, AC Wantuch Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016 | | 2016 |
Dallas R. TrinkleProfessor of Materials Science and Engineering, University of Illinois, Urbana-ChampaignVerified email at illinois.edu
