HiDeNN-PGD: reduced-order hierarchical deep learning neural networks. - Lei Zhang 164; Ye Lu; Shaoqiang Tang; Wing Kam Liu (CoRR, 2021)

Finite difference approach for multiscale computations of atomic chain at finite temperature. - Lei Zhang 164; Shaoqiang Tang; Baiyili Liu (Comput. Math. Appl., 2022)

Discovery of PDEs driven by data with sharp gradient or discontinuity. - Kang Wang; Lei Zhang 164; Shaoqiang Tang (Comput. Math. Appl., 2023)

Efficient Matching Boundary Conditions of Two-dimensional Honeycomb Lattice for Atomic Simulations. - Baiyili Liu; Songsong Ji; Gang Pang; Shaoqiang Tang; Lei Zhang 164 (CoRR, 2024)