Autonomous LLM agents for materials science: seminar at Texas Southern University
Fowe · x · 2026-10-15
Samuel O. Alfred presented "Autonomous LLM Agents for Materials Science: From Data-Driven Theory to Multiscale Modeling" at Texas Southern University's 2026 Research Seminar Series. Slides cover fatigue (90% of mechanical failures, 3% of GDP), GPR prediction of IN718 fatigue strength from crack data, microstructure-based EPBP prediction (F1 ≈ 80.85%), and LLM agents that read governing equations and calibrate CPFEM models with 20/20 reliability and autonomous error recovery — framing experiments as ground truth and AI agents as making physics-based modeling fast, reproducible and auditable.
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