Integrating machine learning with advanced processing and characterization for polycrystalline materials: a methodology review and application to iron-based superconductors.
第一作者:
Akiyasu,Yamamoto
第一单位:
Department of Applied Physics, Tokyo University of Agriculture and Technology, Tokyo, Japan.;JST-CREST, Saitama, Japan.
作者:
关键词
3D reconstruction4D STEMBOXVIABayesian optimizationDFTIron-based superconductordata assimilationdata-driven process designdeep learningelectron microscopyfully convolutional neural networksgrain boundarieshigh-energy milling processmachine learningmagnetmultiscale observationphase-field modelingpolycrystalline materialsprocessingresearcher-driven process designscanning precession electron diffractionsuperconductorthin filmstrapped field
DOI
10.1080/14686996.2024.2436347
PMID
39845724
发布时间
2025-01-29
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Science and technology of advanced materials
2025年26卷1期
2436347页
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