Physics-Informed Machine Learning Methods for Data Analytics and Model Diagnostics
V.V. Vesselinov
M3 NASA DRIVE Workshop, Los Alamos2019
Summary
This presentation covers physics-informed machine learning methods for data analytics and model diagnostics. It discusses the integration of physics-based knowledge with machine learning techniques to improve the efficiency, robustness, and interpretability of analyses. Examples from geothermal, geochemical, and climate applications are used to illustrate the concepts and methods.