Machine learning methods in data-driven nanostructure analysis of materials

Wei, Ye

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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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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-024C-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-DE45-1

Genre: Thesis

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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.

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Language(s): eng - English

Dates: Accepted: 2021-02-16

Publication Status: Accepted / In Press

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Publishing info: RWTH Aachen University

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Degree: PhD

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