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Year | Number of Results |
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2020 | 2 |
2021 | 2 |
2022 | 1 |
2023 | 2 |
2024 | 0 |
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Page 1
Mechanical Metamaterials on the Way from Laboratory Scale to Industrial Applications: Challenges for Characterization and Scalability.
Materials (Basel). 2020 Aug 14;13(16):3605. doi: 10.3390/ma13163605.
Materials (Basel). 2020.
PMID: 32824029
Free PMC article.
Review.
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: eberl c.
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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2D Numerical Simulation of Auxetic Metamaterials Based on Force and Deformation Consistency.
Roth A, Ganzenmüller G, Gutmann F, Jakkula P, Hild F, Pfaff A, Yin K, Eberl C, Hiermaier S.
Roth A, et al. Among authors: eberl c.
Materials (Basel). 2022 Jun 25;15(13):4490. doi: 10.3390/ma15134490.
Materials (Basel). 2022.
PMID: 35806614
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. Among authors: eberl c.
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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Author Correction: 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: eberl c.
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.
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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: eberl c.
Materials (Basel). 2020 Jul 24;13(15):3298. doi: 10.3390/ma13153298.
Materials (Basel). 2020.
PMID: 32722181
Free PMC article.
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Actuating Shape Memory Polymer for Thermoresponsive Soft Robotic Gripper and Programmable Materials.
Schönfeld D, Chalissery D, Wenz F, Specht M, Eberl C, Pretsch T.
Schönfeld D, et al. Among authors: eberl c.
Molecules. 2021 Jan 20;26(3):522. doi: 10.3390/molecules26030522.
Molecules. 2021.
PMID: 33498348
Free PMC article.
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