Learning Physics of Electrochemical Systems from Data

Learn how to extract physics-based models from experimental and simulation data in electrochemical systems through this 49-minute conference talk. Explore the application of partial-differential-equation (PDE)-constrained optimization and Bayesian inference techniques to understand complex multiphysics phenomena in lithium-ion battery materials. Discover methods for learning continuum models of lithium intercalation materials using microscopy images and X-ray diffraction data, including the extraction of thermodynamic and reaction kinetic models, spatial heterogeneity characterization, and chemo-mechanical coupling analysis. Examine approaches for deriving continuum models of phase separation from molecular dynamics simulation data and understand how these techniques enable full utilization of available datasets. Gain insights into the coupling between electrochemical reactions, mechanics, and phase separation in battery materials, and learn about potential applications of these continuum modeling approaches in biological systems.