Higher-order multi-scale deep Ritz method for multi-scale problems of authentic composite materials. - Jiale Linghu; Hao Dong 012; Junzhi Cui; Yufeng Nie 001 (CoRR, 2023)

Higher-order multi-scale computational approach and its convergence for nonlocal gradient elasticity problems of composite materials. - Hao Dong; Jie Shi; Jiale Linghu (Comput. Math. Appl., 2024)

Self-optimization wavelet-learning method for predicting nonlinear thermal conductivity of highly heterogeneous materials with randomly hierarchical configurations. - Jiale Linghu; Hao Dong 012; Weifeng Gao; Yufeng Nie 001 (Comput. Phys. Commun., 2024)

Higher-order multi-scale physics-informed neural network (HOMS-PINN) method and its convergence analysis for solving elastic problems of authentic composite materials. - Jiale Linghu; Weifeng Gao; Hao Dong 012; Yufeng Nie 001 (J. Comput. Appl. Math., 2025)

SO-PIFRNN: Self-optimization physics-informed Fourier-features randomized neural network for solving partial differential equations. - Jiale Linghu; Weifeng Gao; Hao Dong 012; Yufeng Nie 001 (CoRR, 2025)