most citedPredicting the Fracture Propensity of Amorphous Silica Using Molecular Dynamics Simulations and Machine Learning

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cond-mat.mes-hall2023★ 1 cited

Predicting the Fracture Propensity of Amorphous Silica Using Molecular Dynamics Simulations and Machine Learning

Jiahao Liu, Jingjie Yeo

Amorphous silica () is a widely used inorganic material. Interestingly, the relationship between the local atomic structures of and their effects on ductility an…