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.
Lang-PINN: From language to physics-informed neural networks via a multi-agent framework
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GRAFT-ATHENA projects combinatorial method choices into factored trees that embed as fingerprints in a metric space, enabling an agentic system to accumulate experience across domains and autonomously discover new numerical techniques for physics-informed problems.
A multi-agent LLM framework, ATHENA, autonomously designs and refines numerical PDE solvers and physics-informed models, reportedly beating expert-authored baselines.
citing papers explorer
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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.
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GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms
GRAFT-ATHENA projects combinatorial method choices into factored trees that embed as fingerprints in a metric space, enabling an agentic system to accumulate experience across domains and autonomously discover new numerical techniques for physics-informed problems.
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ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms
A multi-agent LLM framework, ATHENA, autonomously designs and refines numerical PDE solvers and physics-informed models, reportedly beating expert-authored baselines.