Human-guided physics-constrained AI agents construct an auditable model of soil-plug evolution
A human-in-the-loop, physics-constrained multi-agent workflow where human experts define admissible physics and modeling boundaries, while agents retrieve evidence, derive equations, implement solvers, and audit the theory-to-code chain is introduced.
Jie Shi, Yi-Min Lu, Zhong-Kun Ouyang
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