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  Machine learning methods in data-driven nanostructure analysis of materials

Wei, Y. (2021). Machine learning methods in data-driven nanostructure analysis of materials. PhD Thesis, RWTH Aachen University.

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 Creators:
Wei, Ye1, Author              
Svendsen, Bob2, Referee              
Raabe, Dierk1, Referee              
Schneider, Jochen Michael3, Referee              
Affiliations:
1Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863381              
2Material Mechanics, Faculty of Georesources and Materials Engineering, RWTH Aachen University, Schinkelstraße 2, D-52062 Aachen, Germany, ou_persistent22              
3Materials Chemistry, Lehrstuhl für Werkstoffchemie, RWTH Aachen, Germany, ou_persistent22              

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Free keywords: Dr. rer. nat.
 Abstract: -

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Language(s): eng - English
 Dates: 2021-02-16
 Publication Status: Accepted / In Press
 Pages: -
 Publishing info: RWTH Aachen University
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: PhD

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