Jun Jiang

Equivariant generative diffusion learns and generalizes the structural ensemble of amorphous oxides

Amorphous materials are statistical ensembles rather than definitive structures, and conventional density-functional (DFT) and machine-learned-potential simulations sample only a small part of that ensemble. We present an $SE(3)$-equivariant denoising-diffusion model that learns the configurational distribution of amor...