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…