A proof-of-concept system that parses 400 physics equations into a knowledge graph and uses a graph attention network (97.4% AUC) plus symbolic clustering to generate cross-domain hypotheses and internal consistency checks.
Here, we show numerically that such constraints give rise to a distinct string phase in finite systems with commensurate boundary conditions
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A Graph-Based Framework for Exploring Mathematical Patterns in Physics: A Proof of Concept
A proof-of-concept system that parses 400 physics equations into a knowledge graph and uses a graph attention network (97.4% AUC) plus symbolic clustering to generate cross-domain hypotheses and internal consistency checks.