162 citations · 165 across the 2 of their papers we have counts for
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cond-mat.mtrl-sci2019★ 3 cited
Prediction of Silicate Glasses' Stiffness by High-Throughput Molecular Dynamics Simulations and Machine Learning
Kai Yang, Xinyi Xu, Benjamin Yang +3
The development by machine learning of models predicting materials' properties usually requires the use of a large number of consistent data for training. However, quality experime…
cond-mat.mtrl-sci2017★ 162 cited
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…