Artificial intelligence is increasingly being used to discover new materials, but conventional data-driven approaches can struggle to explain their predictions, work reliably beyond their training data and remain consistent with physical laws. A new perspective proposes a framework called Physics-Grounded Materials AI (PhysMat AI), which integrates fundamental physical knowledge into the materials discovery process. The research is published in the journal Advanced Functional Materials.
Physics-grounded AI framework aims to make predictions about new materials more testable
