35 citations · 126 across the 16 of their papers we have counts for
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cond-mat.mes-hall2021★ 11 cited
Deep learning of deformation-dependent conductance in thin films: nanobubbles in graphene
Jack G. Nedell, Jonah Spector, Adel Abbout +2
Motivated by the ever-improving performance of deep learning techniques, we design a mixed input convolutional neural network approach to predict transport properties in deformed n…
cond-mat.mes-hall2021★ 2 cited
Topological Aspects of Antiferromagnets
V. Bonbien, Fengjun Zhuo, A. Salimath +3
The long fascination antiferromagnetic materials have exerted on the scientific community over about a century has been entirely renewed recently with the discovery of several unex…