When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning

no code implementations • 31 Mar 2022 • Chuizheng Meng, Sungyong Seo, Defu Cao, Sam Griesemer, Yan Liu

Physics-informed machine learning (PIML), referring to the combination of prior knowledge of physics, which is the high level abstraction of natural phenomenons and human behaviours in the long history, with data-driven machine learning models, has emerged as an effective way to mitigate the shortage of training data, to increase models' generalizability and to ensure the physical plausibility of results.

BIG-bench Machine Learning Physics-informed machine learning