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Bibliographic Details
Main Authors: Staebler, Gary, Barnett, Rhea, Cianciosa, Mark, Juneja, Rinkle, Kumar, Atul, Tierens, Wouter, Yang, Minglei, Hauck, Cory, Archibald, Richard, Seleson, Pablo, Reeve, Sam, Dudson, Ben, Geyko, Vasily
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2605.09205
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Table of Contents:
  • 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