EPSCoR Research Fellows: NSF: Physics-Informed Machine Learning for Accelerated Discovery — NSF Award to University of Hawaii (HI,
This Research Infrastructure Improvement EPSCoR Research Fellows project provides a fellowship to an Assistant Professor and training for a graduate student at the University of Hawaii at Mānoa. This work is conducted in collaboration with researchers at the SLAC National Accelerator Laboratory. Through the fellowship,
| Award title | EPSCoR Research Fellows: NSF: Physics-Informed Machine Learning for Accelerated Discovery |
|---|---|
| Award ID | 2531897 |
| Awardee | University of Hawaii |
| City | HONOLULU |
| State | HI |
| Amount obligated | $299,989 |
| Principal investigator | Huaijin Chen |
| Program | EPSCoR RII: EPSCoR Research Fe |
| Start date | 01/01/2026 |
| Abstract | This Research Infrastructure Improvement EPSCoR Research Fellows project provides a fellowship to an Assistant Professor and training for a graduate student at the University of Hawaii at Mānoa. This work is conducted in collaboration with researchers at the SLAC National Accelerator Laboratory. Through the fellowship, the principal investigator (PI) will develop artificial intelligence (AI) tools to interpret vast volumes of data generated by SLAC’s powerful X-ray light source. These tools will |
| Source | NSF Awards |
$799/mo
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