Physics-Informed Descriptor Engineering and Explainable Machine Learning Reveal the Quantum Mechanical Origins of Electronic Dielectric Response in Oxide Materials
A physics-informed machine-learning model was created to forecast the dielectric constant of oxide materials. The study explores the physicochemical descriptors that govern the response of the materials. A set of 3304 non-metallic oxide compounds was built using the Materials Project database. A comprehensive feature s...