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  Application of artificial neural networks for the prediction of interface mechanics: a study on grain boundary constitutive behavior

Fernández, M., Rezaei, S., Mianroodi, J. R., Fritzen, F., & Reese, S. (2020). Application of artificial neural networks for the prediction of interface mechanics: a study on grain boundary constitutive behavior. Advanced Modeling and Simulation in Engineering Sciences, 7: 1. doi:10.1186/s40323-019-0138-7.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-B16A-B Version Permalink: https://hdl.handle.net/21.11116/0000-0009-3011-D
Genre: Journal Article

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2020
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 Creators:
Fernández, Mauricio1, 2, Author
Rezaei, Shahed3, Author           
Mianroodi, Jaber Rezaei4, 5, Author           
Fritzen, Felix1, Author           
Reese, Stefanie6, Author           
Affiliations:
1Institute of Applied Mechanics, University of Stuttgart, Pfaffenwaldring 7, 70569, Stuttgart, Germany, ou_persistent22              
2Cyber-Physical Simulation Group, Department of Mechanical Engineering, Technische Universität Darmstadt, Dolivostraße 15, 64293, Darmstadt, Germany, ou_persistent22              
3Institute of Applied Mechanics, RWTH Aachen University, Aachen, D-52074, Germany, ou_persistent22              
4Material Mechanics, RWTH Aachen University, Schinkelstr. 2, Aachen, Germany, ou_persistent22              
5Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, Max-Planck-Straße 1, 40237 Düsseldorf, DE, ou_1863381              
6Institute of Applied Mechanics, RWTH Aachen University, Aachen, Germany, ou_persistent22              

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Language(s): eng - English
 Dates: 2020-01-28
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1186/s40323-019-0138-7
 Degree: -

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Project name : The contributions of M. Fernández and F. Fritzen are funded by the Deutsche Forschungsgemeinschaft (DFG, GermanResearch Foundation) – FR2702/6 and FR2702/8 – in the scope of the Emmy-Noether and Heisenberg funding lines. Thecontributions of S. Rezai and S. Reese are funded by the Deutsche Forschungsgemeinschaft (DFG, German ResearchFoundation) through Subproject A6 of the Transregional Collaborative Research Center SFB/TRR 87. The contribution of J.Rezaei Mianroodi is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through Subproject M5 in the Priority Programme 1713.
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Title: Advanced Modeling and Simulation in Engineering Sciences
  Abbreviation : Adv. Model. and Simul. in Eng. Sci.
Source Genre: Journal
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Pages: 27 Volume / Issue: 7 Sequence Number: 1 Start / End Page: - Identifier: ISSN: 2213-7467
CoNE: https://pure.mpg.de/cone/journals/resource/2213-7467