An LLM that critiques and proposes rate-law candidates inside a symbolic-regression, model-based experiment-design loop recovers known kinetic models in 41.7-79.3% fewer iterations than the SR-only baseline on four in silico benchmarks.
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DASyR-LLM: Domain-Aware Symbolic Regression with LLMs for Kinetic Model Discovery
An LLM that critiques and proposes rate-law candidates inside a symbolic-regression, model-based experiment-design loop recovers known kinetic models in 41.7-79.3% fewer iterations than the SR-only baseline on four in silico benchmarks.