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Zhong-Kun Ouyang

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#artificial intelligence Preprint Sep 2026

Human-guided physics-constrained AI agents construct an auditable model of soil-plug evolution

Engineering predictions require physical mechanisms to be translated consistently into equations, discretization, code, and validation, yet errors can propagate despite local checks. Artificial-intelligence (AI) agents automate scientific tasks, but coordinating and independently auditing the theory-to-solver process u...

Jie Shi, Yi-Min Lu, Zhong-Kun Ouyang · 0 citations
Jul 2026

An AI-Driven Framework for State-Dependent Constitutive Modeling of Soils Integrating Particle Swarm Optimization and Machine Learning

This study develops an AI-driven State-Dependent modeling framework (AI-D-SD-F) that integrates Particle Swarm Optimization and Machine Learning for real-time parameter evolution and adaptive stress-strain simulation and improves prediction accuracy in geotechnical analyses.

Boxiang Zhang, Zhao-Min Lv, Lun-Yang Zhao et al. · 0 citations

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