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Eberl, Chris

fraunhofer gesellschaft

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8Paper Count
0Citation Count
Published Papers 8
Publication Date
Materials fatigue prediction using graph neural networks on microstructure representations
err2023-08-02
err10
errOAAI
errThomas, Akhil; Durmaz, Ali Riza; Alam, Mehwish; Gumbsch, Peter; Sack, Harald; Eberl, Chris
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Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models
err2022-07-01
err12
errOAAI
errDurmaz, Ali Riza; Natkowski, Erik; Arnaudov, Nikolai; Sonnweber-Ribic, Petra; Weihe, Stefan; Munstermann, Sebastian; Eberl, Chris; Gumbsch, Peter
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Addressing materials' microstructure diversity using transfer learning
err2022-02-03
err22
errOAAI
errGoetz, Aurele; Durmaz, Ali Riza; Muller, Martin; Thomas, Akhil; Britz, Dominik; Kerfriden, Pierre; Eberl, Chris
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A deep learning approach for complex microstructure inference
err2021-11-01
err64
errOAAI
errDurmaz, Ali Riza; Mueller, Martin; Lei, Bo; Thomas, Akhil; Britz, Dominik; Holm, Elizabeth A.; Eberl, Chris; Mucklich, Frank; Gumbsch, Peter
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Automated Quantitative Analyses of Fatigue-Induced Surface Damage by Deep Learning
err2020-07-24
err18
errOAAI
errThomas, Akhil; Durmaz, Ali Riza; Straub, Thomas; Eberl, Chris
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Measurement of local strain
err2019-06-11
err7
PREAI
errGammer, Christoph; Richard, Marie-Ingrid; Eberl, Chris
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Microstructural investigations of polycrystalline Ti2AlN prepared by physical vapor deposition of Ti-AlN multilayers
err2018-06-01
err16
errOAAI
errGroener, Lukas; Kirste, Lutz; Oeser, Sabine; Fromm, Alexander; Wirth, Marco; Meyer, Frank; Burmeister, Frank; Eberl, Chris
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