2 papers
cond-mat.mtrl-sci2026
Auditing Machine-Learning Models and Their Training Data with Explainability and First-Principles Verification: Application to Spin Hall Conductivity
Mohammed Mahshook, Rudra Banerjee
Machine-learning models for materials properties rest on two assumptions that standard validation never tests: that a model's features reflect the physics of the property rather th…
cond-mat.mtrl-sci2026
Beyond Diamond: Interpretable Machine Learning Reveals Design Principles for Quantum Defect Host Materials
Mohammed Mahshook, Rudra Banerjee
Solid-state spin defects in wide-bandgap semiconductors are leading candidates for quantum information processing, but systematic identification of suitable host materials remains…