Physics-informed neural networks for sparse neutron source reconstruction

By Adam Glick, Miles O'Brien, and Mustapha Saad
Backed by Harmilee Cousin III, Nathaniel Thorne, Matt M., Rudolf Kardos, Andrea Garecht, Ryan McClintock, Mihai Diaconeasa, Kyle Druen, Wei Wang, Daniel Kemp, and 3 other backers
Glick Independent Physics Lab
Birmingham, Alabama
Computer SciencePhysics
$4,751
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22
Hours Left
  • $4,751
    pledged
  • 94%
    funded
  • 22
    hours 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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