AMShortcut: An Inference- and Training-Efficient Inverse Design Model for Amorphous Materials
This paper introduces AMShortcut, an inference- and training-efficient probabilistic generative model that enables the rapid, multi-property inverse design of amorphous materials by accurately generating diverse atomic structures in few sampling steps without requiring separate models for different property combinations.