About this document
Energy Approach for PDEs in Mechanics by Huy Lê is a document available to read on EtoBox.
The document discusses the application of deep neural networks (DNNs) for solving partial differential equations (PDEs) in computational mechanics, proposing a novel energy-based approach. It emphasizes the use of DNNs as function approximation tools to enhance traditional numerical methods like finite element analysis. The paper outlines the implementation of this method and explores its effectiveness through various engineering applications.
- Author
- Huy Lê
- Language
- EN