About this document
Physics-Informed Neural Networks in Engineering by Thế Trần is a document available to read on EtoBox.
The document discusses the application of Physics-Informed Neural Networks (PINNs) in solving structural engineering partial differential equations. It highlights the advantages of PINNs over traditional data-driven neural networks, particularly in handling complex engineering problems while adhering to physical laws. The study aims to summarize recent advancements in the implementation and efficiency of PINNs in structural engineering contexts.
- Author
- Thế Trần
- Language
- EN