Physics-informed machine learning
Physics-informed machine learning
G. Karniadakis,I. Kevrekidis,3 Authors,Liu Yang
2021 · DOI: 10.1038/s42254-021-00314-5
Nature Reviews Physics · 4,736 Citations
TLDR
Some of the prevailing trends in embedding physics into machine learning are reviewed, some of the current capabilities and limitations are presented and diverse applications of physics-informed learning both for forward and inverse problems, including discovering hidden physics and tackling high-dimensional problems are discussed.