Bidirectional Neural Networks for Global Nucleon-Nucleus Optical Model Calculations
A neural network emulator based on Bidirectional Liquid Neural Networks (BiLNN) maps optical potentials to scattering wave functions. This single model generalizes across all energies, partial waves, and target nuclei, achieving accuracy comparable to traditional methods. It uses a phase-space coordinate to handle energy variations effectively.