Physics-grounded AI framework aims to make predictions about new materials more testable
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 framewo
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 framewo This story matters for Science & Discovery readers tracking science. Reported by phys.org. Read the full original at the source link below.
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