3 papers
physics.comp-ph2026
A Boson-informed neural network for Ground States of Many-Body Schrödinger equations
Zhizhong Kong, Jerry Zhijian Yang, Cheng Yuan +1
We propose a symmetry-preserving Boson-informed neural network (BINN) for the variational Monte Carlo computation of interacting-boson ground states in continuous space. The framew…
math.NA2026
An alternating learning-based collocation method for solving inverse elliptic problems
Zhizhong Kong, Jerry Zhijian Yang, Cheng Yuan
We propose the Alternating Learning-Based Collocation (ALBC) method for solving inverse elliptic problems. Our approach employs sinusoidal shallow networks as adaptive basis genera…
cond-mat.quant-gas2025
Toward fast, accurate and robust AI prediction of ground states in rotating BEC
Zhizhong Kong, Jerry Zhijian Yang, Cheng Yuan +1
We propose an unsupervised deep learning approach for computing the ground state (GS) of rotating Bose-Einstein condensation. To minimize the energy under a mass constraint, our ap…