182 citations · 1.1k across the 28 of their papers we have counts for
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Predicting the dissolution kinetics of silicate glasses using machine learning
N. M. Anoop Krishnan, Sujith Mangalathu, Morten M. Smedskjaer +3
Predicting the dissolution rates of silicate glasses in aqueous conditions is a complex task as the underlying mechanism(s) remain poorly understood and the dissolution kinetics ca…
A New Transferable Interatomic Potential for Molecular Dynamics Simulations of Borosilicate Glasses
Mengyi Wang, N. M. Anoop Krishnan, Bu Wang +3
Borosilicate glasses are traditionally challenging to model using atomic scale simulations due to the composition and thermal history dependence of the coordination state of B atom…
Cooling-Rate Effects in Sodium Silicate Glasses: Bridging the Gap between Molecular Dynamics Simulations and Experiments
Xin Li, Weiying Song, Kai Yang +7
Although molecular dynamics (MD) simulations are commonly used to predict the structure and properties of glasses, they are intrinsically limited to short time scales, necessitatin…