383 citations · 439 across the 9 of their papers we have counts for
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cond-mat.mtrl-sci2021
Revealing in-plane grain boundary composition features through machine learning from atom probe tomography data
Xuyang Zhou, Ye Wei, Markus Kühbach +6
Grain boundaries (GBs) are planar lattice defects that govern the properties of many types of polycrystalline materials. Hence, their structures have been investigated in great det…
cond-mat.mtrl-sci2021★ 37 cited
Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys
Yue Li, Xuyang Zhou, Timoteo Colnaghi +6
Nanoscale L12-type ordered structures are widely used in face-centred cubic (FCC) alloys to exploit their hardening capacity and thereby improve mechanical properties. These fine-s…