AIBullisharXiv – CS AI · Feb 277/106
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Discovery of Interpretable Physical Laws in Materials via Language-Model-Guided Symbolic Regression
Researchers have developed a new framework that uses large language models to guide symbolic regression in discovering interpretable physical laws from high-dimensional materials data. The method reduces the search space by approximately 10^5 times compared to traditional approaches and successfully identified novel formulas for key properties of perovskite materials.