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Physics-grounded AI framework aims to make predictions about new materials more testable
来源: Phys.org - latest science and technology news stories · 发布于

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 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.
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