Figure 2 (IMAGE)
Caption
Five-layer physics architecture underlying PhysMat AI. The five-layer architecture illustrates how physical knowledge is systematically integrated into materials intelligence through prior knowledge, descriptors, constraints, verification, and infrastructure. These complementary layers span the complete AI workflow, from knowledge representation and physics-guided reasoning to validation and data infrastructure, providing a unified perspective for reliable, interpretable, and continuously evolving materials discovery.
Credit
Hao Li et al.
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