Christophe Bonneville
Orcid: 0000-0003-4150-4697
According to our database1,
Christophe Bonneville authored at least 10 papers
between 2020 and 2026.
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Bibliography
2026
Towards Spatio-Temporal Extrapolation of Phase-Field Simulations with Convolution-Only Neural Networks.
CoRR, January, 2026
2025
A Comparison of Surrogate Constitutive Models for Viscoplastic Creep Simulation of HT-9 Steel.
CoRR, September, 2025
Extrapolating Phase-Field Simulations in Space and Time with Purely Convolutional Architectures.
CoRR, September, 2025
2024
Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone.
CoRR, 2024
A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling.
CoRR, 2024
2023
Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations.
CoRR, 2023
GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder.
CoRR, 2023
2022
Bayesian deep learning for partial differential equation parameter discovery with sparse and noisy data.
J. Comput. Phys. X, 2022
2021
2020
A Principled Approach to Design Using High Fidelity Fluid-Structure Interaction Simulations.
CoRR, 2020