15 citations · 18 across the 3 of their papers we have counts for
3 papers
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…
cond-mat.dis-nn2022★ 15 cited
Geometry-enhanced graph neural network for learning the smoothness of glassy dynamics from static structure
Xiao Jiang, Zean Tian, Kenli Li
Understanding the dynamic processes of the glassy system continues to be challenging. Recent advances have shown the power of graph neural networks (GNNs) for determining the corre…