Connecting exciton diffusion with surface roughness via deep learning. - Liyao Lyu; Zhiwen Zhang 001; Jingrun Chen (CoRR, 2019)

Quasi-Monte Carlo sampling for machine-learning partial differential equations. - Jingrun Chen; Rui Du; Panchi Li; Liyao Lyu (CoRR, 2019)

Enforcing exact boundary and initial conditions in the deep mixed residual method. - Liyao Lyu; Keke Wu; Rui Du; Jingrun Chen (CoRR, 2020)

Reproducing Activation Function for Deep Learning. - Senwei Liang; Liyao Lyu; Chunmei Wang; Haizhao Yang (CoRR, 2021)

A Deep Learning Based Discontinuous Galerkin Method for Hyperbolic Equations with Discontinuous Solutions and Random Uncertainties. - Jingrun Chen; Shi Jin; Liyao Lyu (CoRR, 2021)

MIM: A deep mixed residual method for solving high-order partial differential equations. - Liyao Lyu; Zhen Zhang; Minxin Chen; Jingrun Chen (J. Comput. Phys., 2022)

Consensus-based construction of high-dimensional free energy surface. - Liyao Lyu; Huan Lei (CoRR, 2023)

On the generalization ability of coarse-grained molecular dynamics models for non-equilibrium processes. - Liyao Lyu; Huan Lei (CoRR, 2024)