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Krokos, Vasileios
2023.
A multi-fidelity approach to predict stress
fields in elastic structures with random
pores through Bayesian deep learning.
PhD Thesis,
Cardiff University.
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Krokos, Vasilis, Xuan, Viet Bui, Bordas, Stephane P. A.  ORCID: https://orcid.org/0000-0001-8634-7002, Young, Philippe and Kerfriden, Pierre ORCID: https://orcid.org/0000-0002-7749-3996
2022.
A Bayesian multiscale CNN framework to predict local stress fields in structures with microscale features.
Computational Mechanics
69
, pp. 733-766.
10.1007/s00466-021-02112-3
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Krokos, Vasileios, Bui Xuan, Viet, Bordas, Stéphane ORCID: https://orcid.org/0000-0001-8634-7002 and Kerfriden, Pierre ORCID: https://orcid.org/0000-0002-7749-3996
2022.
A 3D Bayesian multiscale graph neural network framework to predict local stress fields in structures with microscale features.
Presented at: 18th European Mechanics of Materials Conference,
Oxford, England,
04-06 April 2022.
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Krokos, Vasileios, Kerfriden, Pierre ORCID: https://orcid.org/0000-0002-7749-3996, Young, Philippe, Bui Xuan, Viet and Bordas, Stephane ORCID: https://orcid.org/0000-0001-8634-7002
2020.
Data-driven multiscale computational modelling in biomechanics using convolutional neural networks.
Presented at: 14th World Congress in Computational Mechanics and ECCOMAS Congress 2020 (WCCM-ECCOMAS),
Virtual,
11-15 January 2021.
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| Krokos, V., Pashos, G., Spyropoulos, A. N., Kokkoris, G., Papathanasiou, A. G. and Boudouvis, A. G. 2019. Optimization of patterned surfaces for Improved superhydrophobicity through cost-effective large-scale computations. Langmuir 35 (20) , pp. 6793-6802. 10.1021/acs.langmuir.9b00588 |
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