most citedTowards interpreting the thermally activated dynamics in metallic glass with the structural constraint neural network

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

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…