Work

Boundary Region Reinforcement Physics-Informed Neural Networks for solving partial differential equations

Year: 2026

Type: article

Source: Engineering Applications of Artificial Intelligence

DOI: 10.1016/j.engappai.2026.115179

Authors: Shengtai Yao, Weifeng Huang, Yang Hu, Qiang He

Institutions: Johns Hopkins University, State Key Laboratory of Tribology, Tsinghua University, Beijing Jiaotong University

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funders: Beijing Outstanding Young Talents, National Natural Science Foundation of China

Awards: G1281766284, G7581407663, G8931366912

OpenAlex ID: W4403914540

FWCI:

Cites: 42

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Related to: 10