Meng Huang

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells

First-principles defect calculations are often limited by the cost of the large supercells required to suppress image interactions. Machine-learning interatomic potentials (MLIPs) provide another alternative, but training defect MLIPs typically requires thousands of structures and weeks of data generation. Since charge...