3 citations · 5 across the 2 of their papers we have counts for
2 papers
cond-mat.soft2023★ 2 cited
Machine learning-informed structuro-elastoplasticity predicts ductility of disordered solids
Hongyi Xiao, Ge Zhang, Entao Yang +5
All solids yield under sufficiently high mechanical loads. Below yield, the mechanical responses of all disordered solids are nearly alike, but above yield every different disorder…
cond-mat.soft2023★ 3 cited
Exploring the Relationship Between Softness and Excess Entropy in Glass-forming Systems
Ian R. Graham, Paulo E. Arratia, Robert A. Riggleman
We explore the relationship between a machine-learned structural quantity (softness) and excess entropy in simulations of supercooled liquids. Excess entropy is known to scale well…