Our vision for the MPEX AI Digital Twins project is to supply experimental and physics model simulation data to train Artificial Intelligence (AI) models for data processing, analysis, operational control, PMI and materials simulation to maximize the scientific output of the MPEX device. Ultimately, an AI digital twin of MPEX material assessment metrics for tested and synthetic material types with simulated PMI will be trained by the AI Modeling Teams on the experimental and physics simulation data submitted to the American Science Cloud by this project
Cite
@article{arxiv.2605.09205,
title = {MPEX AI Digital Twins},
author = {Gary Staebler and Rhea Barnett and Mark Cianciosa and Rinkle Juneja and Atul Kumar and Wouter Tierens and Minglei Yang and Cory Hauck and Richard Archibald and Pablo Seleson and Sam Reeve and Ben Dudson and Vasily Geyko},
journal= {arXiv preprint arXiv:2605.09205},
year = {2026}
}