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2020 | 1 |
2021 | 1 |
2023 | 2 |
2024 | 0 |
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Author Correction: Materials fatigue prediction using graph neural networks on microstructure representations.
Sci Rep. 2023 Aug 21;13(1):13598. doi: 10.1038/s41598-023-40772-8.
Sci Rep. 2023.
PMID: 37604997
Free PMC article.
No abstract available.
Materials fatigue prediction using graph neural networks on microstructure representations.
Thomas A, Durmaz AR, Alam M, Gumbsch P, Sack H, Eberl C.
Thomas A, et al. Among authors: durmaz ar.
Sci Rep. 2023 Aug 2;13(1):12562. doi: 10.1038/s41598-023-39400-2.
Sci Rep. 2023.
PMID: 37532871
Free PMC article.
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A deep learning approach for complex microstructure inference.
Durmaz AR, Müller M, Lei B, Thomas A, Britz D, Holm EA, Eberl C, Mücklich F, Gumbsch P.
Durmaz AR, et al.
Nat Commun. 2021 Nov 1;12(1):6272. doi: 10.1038/s41467-021-26565-5.
Nat Commun. 2021.
PMID: 34725339
Free PMC article.
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Automated Quantitative Analyses of Fatigue-Induced Surface Damage by Deep Learning.
Thomas A, Durmaz AR, Straub T, Eberl C.
Thomas A, et al. Among authors: durmaz ar.
Materials (Basel). 2020 Jul 24;13(15):3298. doi: 10.3390/ma13153298.
Materials (Basel). 2020.
PMID: 32722181
Free PMC article.
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