2 papers
cs.AI2026
MOF-VERIFY: A Failure-Aware Agentic Harness for MOF Hypothesis Verification
Donghyun Lee, Taehoon Lee, Geonhee Ahn +10
Large language models are increasingly used as reasoning components in AI-driven materials Co-Scientists, yet the reliability of the resulting verification pipeline remains unclear…
cs.LG2026
Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuning
Youngwoo Cho, Seunghoon Yi, Wooil Yang +6
Pre-trained materials foundation models, or machine learning interatomic potentials, leverage general physicochemical knowledge to effectively approximate potential energy surfaces…