← Search

Young-Woo Son

1 accepted papers

2026

Sparsity-promoting Fine-tuning for Equivariant Materials Foundation Model

ICLR 2026poster

Pre-trained materials foundation models, or machine learning interatomic potentials, leverage general physicochemical knowledge to effectively approximate potential energy surfaces. However, they often require domain-specific calibration due to physicochemical diversity and mismatches between practi…

Cited by 0SourceScholar