A verification-first agentic workflow for SciML surrogate discovery adds per-candidate, machine-checkable physics audits that expose a causality failure an error-only baseline misses.
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data.Journal of Computational Physics, 394:56–81, 2019
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Physics-Audited Agentic Discovery in Scientific Machine Learning
A verification-first agentic workflow for SciML surrogate discovery adds per-candidate, machine-checkable physics audits that expose a causality failure an error-only baseline misses.