Machine learning models for physics and engineering
The main objective of physics is to understand nature, and one way to achieve this is to build models of the natural phenomenon of interest. For centuries, physicists have been pushing the limits of our knowledge, and in recent years we have commonly begun to encounter challenges where our physics-driven models are either not accurate enough, or too complex, to be useful. In these situations, machine learning models can give a helping hand.