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| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.12116 |
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| _version_ | 1866916005004967936 |
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| author | Staebler, Gary Barnett, Rhea Cianciosa, Mark Juneja, Rinkle Kumar, Atul Tierens, Wouter Yang, Minglei Hauck, Cory Archibald, Richard Reshniak, Viktor Seleson, Pablo Reeve, Sam Watson, Gregory Duggan, John Dudson, Ben Geyko, Vasily |
| author_facet | Staebler, Gary Barnett, Rhea Cianciosa, Mark Juneja, Rinkle Kumar, Atul Tierens, Wouter Yang, Minglei Hauck, Cory Archibald, Richard Reshniak, Viktor Seleson, Pablo Reeve, Sam Watson, Gregory Duggan, John Dudson, Ben Geyko, Vasily |
| contents | This is the six month progress report to Fusion Energy Science (FES) and the American Science Cloud (AmSC) on the MPEX AI Digtial Twins project that was started in October 2025. There are two milestones to demonstrate the Artificial Intelligence (AI) advantage for MPEX operations and scientific discovery, that will be completed by June 2026. The first is a Helicon AI Hot-Spot Controller (Sec. 3.1), which is the helicon heating component of the more comprehensive planned MPEX AI Hot Spot Digital Twin (Sec. 3). The second is an E-beam Damage Assessment Digital Twin (Sec. 4.1), which is a reduced electron beam damage modality prototype for the MPEX AI Damage Assessment Digital Twin (Sec. 4). These two phase I milestones are on track for the June demonstration. In addition to these two milestones, progress on configuring the Galaxy software interface for automation, validation and data analysis is reported (Sec. 5). This interface now connects a subset of the main physics simulation codes to DOE HPC resources and will connect to the MPEX data acquisition system so that analysis of data, validation and execution of simulations can be performed by the scientist or by AI-Agents. When AmSC is ready to accept connections and data, Galaxy will be the MPEX interface to AmSC |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_12116 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | MPEX AI Digital Twins Milestone Report Staebler, Gary Barnett, Rhea Cianciosa, Mark Juneja, Rinkle Kumar, Atul Tierens, Wouter Yang, Minglei Hauck, Cory Archibald, Richard Reshniak, Viktor Seleson, Pablo Reeve, Sam Watson, Gregory Duggan, John Dudson, Ben Geyko, Vasily Plasma Physics This is the six month progress report to Fusion Energy Science (FES) and the American Science Cloud (AmSC) on the MPEX AI Digtial Twins project that was started in October 2025. There are two milestones to demonstrate the Artificial Intelligence (AI) advantage for MPEX operations and scientific discovery, that will be completed by June 2026. The first is a Helicon AI Hot-Spot Controller (Sec. 3.1), which is the helicon heating component of the more comprehensive planned MPEX AI Hot Spot Digital Twin (Sec. 3). The second is an E-beam Damage Assessment Digital Twin (Sec. 4.1), which is a reduced electron beam damage modality prototype for the MPEX AI Damage Assessment Digital Twin (Sec. 4). These two phase I milestones are on track for the June demonstration. In addition to these two milestones, progress on configuring the Galaxy software interface for automation, validation and data analysis is reported (Sec. 5). This interface now connects a subset of the main physics simulation codes to DOE HPC resources and will connect to the MPEX data acquisition system so that analysis of data, validation and execution of simulations can be performed by the scientist or by AI-Agents. When AmSC is ready to accept connections and data, Galaxy will be the MPEX interface to AmSC |
| title | MPEX AI Digital Twins Milestone Report |
| topic | Plasma Physics |
| url | https://arxiv.org/abs/2605.12116 |