9 papers
Bidirectional Neural Networks for Global Nucleon-Nucleus Optical Model Calculations
Jin Lei
Modern nuclear data evaluation increasingly requires not only accurate scattering calculations, but also efficient methods for uncertainty quantification and parameter optimization…
Exterior complex scaling enables physics-informed neural networks for quantum scattering
Jin Lei
Physics-informed neural networks (PINNs) have emerged as a powerful tool for solving differential equations, yet their application to nuclear scattering has been hindered by the os…
Dynamical Origin of Spectroscopic Quenching in Knockout Reactions
Jin Lei
Nucleon-removal reactions are a primary tool for extracting single-particle structure of rare isotopes, yet the ratio of measured to theoretical cr…
Reduced basis emulator for elastic scattering in continuum-discretized coupled-channel calculations
Jin Lei
I develop a reduced basis emulator for continuum-discretized coupled-channel (CDCC) calculations that achieves speedups of while maintaining sub-percent accuracy. The e…
HPRMAT: A high-performance R-matrix solver with GPU acceleration for coupled-channel problems in nuclear physics
Jin Lei
I present HPRMAT, a high-performance solver library for the linear systems arising in R-matrix coupled-channel scattering calculations in nuclear physics. Designed as a drop-in rep…
Direct Boundary Matching: A Bound-State Technique for Nuclear Scattering with Lagrange-Legendre Functions
Jin Lei
I present a direct boundary matching method (DBMM) for solving nuclear scattering problems using Lagrange-Legendre basis functions. This approach belongs to the family of bound-sta…