Probabilistic Physics-Informed Neural Solvers for Woods-Saxon Parameter Identification
Quantum / Chemistry
A probabilistic physics-informed framework using WaveNet and ParamNet to solve the inverse problem of recovering Woods-Saxon nuclear potential parameters from sparse spectral data.
See LICENSE file Nuclear PhysicsPhysics-Informed Neural NetworksParameter Identification