Direct recognition of crystal structures via three-dimensional convolutional neural networks with high accuracy and tolerance to random displacements and missing atoms

Author:

Rao ZiyuanORCID,Li YueORCID,Zhang Hongbin,Colnaghi TimoteoORCID,Marek AndreasORCID,Rampp MarkusORCID,Gault BaptisteORCID

Funder

Deutsche Forschungsgemeinschaft

Max-Planck-Gesellschaft

Max-Planck-Institut für Eisenforschung GmbH

Alexander von Humboldt-Stiftung

Publisher

Elsevier BV

Subject

Condensed Matter Physics,General Materials Science,Mechanics of Materials,Metals and Alloys,Mechanical Engineering

Reference34 articles.

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2. Unveiling the mechanism of abnormal magnetic behavior of FeNiCoMnCu high-entropy alloys through a joint experimental-theoretical study;Rao;Phys. Rev. Mater.,2020

3. Nature-inspired hierarchical steels;Cao;Sci. Rep.,2018

4. High-content ductile coherent nanoprecipitates achieve ultrastrong high-entropy alloys;Liang;Nat. Commun.,2018

5. Ultrastrong steel via minimal lattice misfit and high-density nanoprecipitation;Jiang;Nature,2017

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