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Number of items: 5.

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:, Young, Philippe and Kerfriden, Pierre ORCID: 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

Krokos, Vasileios, Bui Xuan, Viet, Bordas, Stéphane ORCID: and Kerfriden, Pierre ORCID: 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.

Krokos, Vasileios, Kerfriden, Pierre ORCID:, Young, Philippe, Bui Xuan, Viet and Bordas, Stephane ORCID: 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.

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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