collaborators

7 papers

math.NA2026

Efficient higher-order multi-scale method and its convergence estimate for dynamic nonlinear hygro-thermo-mechanical coupling problems of heterogeneous structures

Yifei Ding, Hao Dong, Jiale Linghu +1

This paper presents a novel higher-order multi-scale (HOMS) computational framework for efficient, high-accuracy, and low-cost simulation of nonlinear hygro-thermo-mechanical (H-T-…

math.NA2026

A high-order multi-scale method and its convergence analysis for temperature-dependent nonlinear thermal radiation problems of composite structures

Hao Dong, Yongfei Hu, Jiale Linghu +1

Accurate prediction of the nonlinear radiation thermal transfer in composite structures with temperature-dependent properties is significant in high-temperature applications of the…

math.NA2026

A Structure-Adaptive Random Feature Method for High-Dimensional Elliptic PDEs

Jiale Linghu, Hao Dong, Yangshuai Wang

Random-feature methods reduce high-dimensional elliptic PDE collocation to linear coefficient problems, but full-dimensional trial spaces overlook lower-dimensional structure. We i…

cs.LG2026

Trainable Photonic Measurement for Physics-Informed PDE Learning

Jiale Linghu, Hao Dong, Yangshuai Wang

Photonic quantum machine learning offers a route to trainable physical representations built from phase, interference and measurement. However, its role in scientific machine learn…

math.NA2025

A higher-order three-scale computational method for efficient nonlinear thermo-mechanical coupling simulation of heterogeneous structures with multiple spatial scales

Hao Dong, Yanqi Wang, Jiale Linghu +1

Classical multi-scale methods involving two spatial scales face significant challenges when simulating heterogeneous structures with complicated three-scale spatial configurations.…

math.NA2025

Higher-order multi-scale computational method and its convergence analysis for hygro-thermo-mechanical coupling problems of quasi-periodic composite structures

Hao Dong, Yifei Ding, Jiale Linghu +2

This paper proposes a novel higher-order multi-scale (HOMS) computational method, which is highly targeted for efficient, high-accuracy and low-computational-cost simulation of hyg…