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Vasilis Krokos
Vasilis Krokos
Stress field
Point estimation
Test data generation
Bayesian probability
Macro
4
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4
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A Graph-based probabilistic geometric deep learning framework with online physics-based corrections to predict the criticality of defects in porous materials.
2022
CoRR
Vasilis Krokos
Stéphane P. A. Bordas
Pierre Kerfriden
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A Bayesian multiscale CNN framework to predict local stress fields in structures with microscale features.
2021
arXiv: Computational Engineering, Finance, and Science
Vasilis Krokos
Viet Bui Xuan
Stéphane Bordas
Philippe Young
Pierre Kerfriden
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Bayesian Convolutional Neural Networks as probabilistic surrogates for the fast prediction of stress fields in structures with microscale features
2020
arXiv: Computational Engineering, Finance, and Science
Vasilis Krokos
Viet Bui Xuan
Stéphane Bordas
Philippe Young
Pierre Kerfriden
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OPTIMIZATION OF PATTERNED SURFACES FOR IMPROVED SUPERHYDROPHOBICITY THROUGH COST-EFFECTIVE LARGE-SCALE COMPUTATIONS
2019
Langmuir
Vasilis Krokos
George Pashos
Antony N. Spyropoulos
George Kokkoris
Athanasios G. Papathanasiou
Andreas G. Boudouvis
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Citations (3)
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