PINN framework reconstructs 3D magnetic fields to 10^{-4} simulated accuracy and 10^{-3} experimental accuracy by enforcing divergence-free and curl-free conditions.
Venanzoni (for the J-PARC Muon g-2/EDM Collaboration), Status of the Muong−2/EDM Experiment at J-PARC.arXiv preprintarXiv:2512.20335 (2025)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.ins-det 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
3D Magnetic Field Reconstruction and Mapping with Physics-Informed Neural Networks
PINN framework reconstructs 3D magnetic fields to 10^{-4} simulated accuracy and 10^{-3} experimental accuracy by enforcing divergence-free and curl-free conditions.