most citedLeveraging Large-scale Computational Database and Deep Learning for Accurate Prediction of Material Properties

1 citations · 1 across the 2 of their papers we have counts for

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cond-mat.mtrl-sci2023

Controllable Strain-driven Topological Phase Transition and Dominant Surface State Transport in High-Quality HfTe5 Samples

Jinyu Liu, Yinong Zhou, Sebastian Yepez Rodriguez +11

Controlling materials to create and tune topological phases of matter could potentially be used to explore new phases of topological quantum matter and to create novel devices wher…

cond-mat.mtrl-sci2021★ 1 cited

Leveraging Large-scale Computational Database and Deep Learning for Accurate Prediction of Material Properties

Pin Chen, Jianwen Chen, Hui Yan +6

Accurately predicting the physical and chemical properties of materials remains one of the most challenging tasks in material design, and one effective strategy is to construct a r…