Physics Guided Deep Learning Interpretation

Nowadays, machine learning and, specifically, deep learning are being utilized in various fields. A notable area of research that is influenced considerably is physics models and computations. Laboratory experiments take days and months to obtain results, and physics models and computations take days in supercomputers. On the other hand, a deep learning model can predict a physical parameter in no time. However, this field is extremely regularized and sensitive; a simple mistake in a physical parameter in fields, including drug discovery, can result in millions of death. In this regard, although there are many fast and super accurate deep learning models in physics problems, none have yet been used widely in the biochemistry industry due to the lack of interpretation and safety measures.