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Discovery of Interpretable Surrogates via Agentic AI: Application to Gravitational Waves

GWAgent, a large language model (LLM)-based workflow that constructs interpretable analytic surrogates directly from simulation data, shows that validation-constrained agentic workflows can produce accurate, fast, and interpretable surrogates for scientific simulations and inference.

Tousif Islam, D. Wadekar, T. Venumadhav et al. · 4 citations

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