721 citations · 1.8k across the 37 of their papers we have counts for
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Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics
Saurabh Deshpande, Raúl I. Sosa, Stéphane P. A. Bordas +1
Deep learning surrogate models are being increasingly used in accelerating scientific simulations as a replacement for costly conventional numerical techniques. However, their use…
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations
Saurabh Deshpande, Stéphane P. A. Bordas, Jakub Lengiewicz
In many cutting-edge applications, high-fidelity computational models prove to be too slow for practical use and are therefore replaced by much faster surrogate models. Recently, d…
Smart cloud collocation: geometry-aware adaptivity directly from CAD
Thibault Jacquemin, Pratik Suchde, Stéphane P. A. Bordas
Computer Aided Design (CAD) is widely used in the creation and optimization of various industrial systems and processes. Transforming a CAD geometry into a computational discretiza…
SOniCS: Develop intuition on biomechanical systems through interactive error controlled simulations
Arnaud Mazier, Sidaty El Hadramy, Jean-Nicolas Brunet +3
This new approach allows the user to experiment with model choices easily and quickly without requiring in-depth expertise, as constitutive models can be modified by one line of co…
An a posteriori error estimator for the spectral fractional power of the Laplacian
Raphaël Bulle, Olga Barrera, Stéphane P. A. Bordas +2
We develop a novel a posteriori error estimator for the error committed by the finite element discretization of the solution of the fractional Laplacian. Our a posteriori err…