Physics-informed neural networks for sparse neutron source reconstruction

By Adam Glick, Miles O'Brien, and Mustapha Saad
Backed by Nathaniel Thorne, Andrea Garecht, Ryan McClintock, Wei Wang, Victor Chavarria, Carl Sutherland, and Corporação Saulo Neto
Glick Independent Physics Lab
Birmingham, Alabama
Computer SciencePhysics
$1,521
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  • $1,521
    pledged
  • 30%
    funded
  • 16
    days left

Lab Notes

Background and Methods
December 24, 2025
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PINN Reconstruction Achieves >95% Speed Improvement Over...
December 15, 2025
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Expanded neural network's capacity
December 8, 2025
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Proof of concept for the PINN verified
November 18, 2025
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