Multitask learning with semiempirical orbital charges enables sample-efficient MLIPs

Ihor Neporozhnii, Sjoerd Hoogland, Oleksandr Voznyy

Machine learning interatomic potentials (MLIPs) require generating computationally expensive, large-scale training datasets to accurately simulate materials and molecules. Incorpor…