Work

CENN: Conservative energy method based on neural networks with subdomains for solving variational problems involving heterogeneous and complex geometries

Year: 2022

Type: article

Source: Computer Methods in Applied Mechanics and Engineering

DOI: 10.1016/j.cma.2022.115491

Authors: Yizheng Wang, Jia Sun, Wei Li, Zaiyuan Lu, Yinghua Liu

Institutions: Tsinghua University, Massachusetts Institute of Technology, KU Leuven

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funder: National Natural Science Foundation of China

Award: G7574781696

OpenAlex ID: W4292443723

FWCI: 4.634

Cites: 49

Cited by: 101

Related to: 10