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S. Gin

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Open access Aug 2026

Site-Selective Initial Hydration of Boron at Multicomponent Borosilicate Glass–Water Interfaces Revealed Using Machine Learning Molecular Dynamics

Understanding the hydration reactions at borosilicate glass–water interfaces is essential for predicting long-term chemical durability. However, atomistic simulations of multicomponent glass corrosion require both chemical accuracy and nanosecond-scale sampling, which remain difficult to achieve using conventional fo...

Ryuki Kayano, J. Delaye, S. Gin et al. · 0 citations
Open access Sep 2026

Machine Learning Enabled Prediction and Interpretation of the Initial Dissolution Rates of Nuclear Waste Glasses

Accurate prediction of chemical durability, such as dissolution rate, is crucial for glass materials used in diverse applications, including pharmaceutical packaging and nuclear waste disposal. In this work, machine learning‐based prediction models were developed using structural descriptors derived from molecular...

Wen-Qing Xie, Jayani Kalahe, Kenneth Sanders et al. · 0 citations

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