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cond-mat.soft2024
Enhancing the Prediction of Glass Dynamics by Incorporating the Direction of Deviation from Equilibrium Positions
Xiao Jiang, Zean Tian, Kenli Li +1
Elucidating the intricate relationship between the structure and dynamics in the context of the glass transition has been a persistent challenge. Machine learning (ML) has emerged…
cond-mat.soft2024★ 3 cited
Towards interpreting the thermally activated dynamics in metallic glass with the structural constraint neural network
Xiao Jiang, Zean Tian, Kenli Li +1
Unraveling the structural factors influencing the dynamics of amorphous solids is crucial. While deep learning aids in navigating these complexities, transparency issues persist. I…