3 papers
cs.DB2026
Epistemic Closure: Autonomous Mechanism Completion for Physically Consistent Simulation
Yue Wua, Tianhao Su, Rui Hu +4
The integration of Large Language Models (LLMs) into scientific discovery is currently hindered by the Implicit Context problem, where governing equations extracted from literature…
cs.CE2026
Engineering-Oriented Symbolic Regression: LLMs as Physics Agents for Discovery of Simulation-Ready Constitutive Laws
Yue Wu, Tianhao Su, Mingchuan Zhao +2
The discovery of constitutive laws for complex materials has historically faced a dichotomy between high-fidelity data-driven approaches, which demand prohibitive full-field experi…
cs.DB2026
Skill-Based Autonomous Agents for Material Creep Database Construction
Yue Wu, Tianhao Su, Shunbo Hu +1
The advancement of data-driven materials science is currently constrained by a fundamental bottleneck: the vast majority of historical experimental data remains locked within the u…