Artificial Intelligence For Partial Differential Equations In Computational Mechanics: A Review
Bauhaus-Universität Weimar · Tsinghua University · +3 more institutions
Abstract
Abstract In recent years, Artificial intelligence (AI) has become ubiquitous, empowering various fields, especially integrating artificial intelligence and traditional science (AI for Science: Artificial intelligence for science), which has attracted widespread attention. In AI for Science, using artificial intelligence algorithms to solve partial differential equations (AI for PDEs: Artificial intelligence for partial differential equations) has become a focal point in computational mechanics. The core of AI for PDEs is the fusion of data and partial differential equations (PDEs), which can solve almost any PDEs. Therefore, this article provides a comprehensive review of the research on AI for PDEs,…
Citation impact
- FWCI
- 32.68
- Percentile
- 99%
- References
- 0
Authors
12Topics & keywords
- Partial differential equation
- Computational mechanics
- Computer science
- Applied mathematics
- Mathematics
- Engineering
- Mathematical analysis
- Finite element method