Christophe Bonneville

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards Spatio-Temporal Extrapolation of Phase-Field Simulations with Convolution-Only Neural Networks. CoRR Christophe Bonneville, Nathan Bieberdorf, Pieterjan Robbe, Mark Asta, Habib N. Najm, Laurent Capolungo, Cosmin Safta
2025	J	`jnl`	A Comparison of Surrogate Constitutive Models for Viscoplastic Creep Simulation of HT-9 Steel. CoRR Pieterjan Robbe, Andre Ruybalid, Arun Hegde, Christophe Bonneville, Habib N. Najm, Laurent Capolungo, Cosmin Safta
2025	J	`jnl`	Extrapolating Phase-Field Simulations in Space and Time with Purely Convolutional Architectures. CoRR Christophe Bonneville, Nathan Bieberdorf, Pieterjan Robbe, Mark Asta, Habib N. Najm, Laurent Capolungo, Cosmin Safta
2024	J	`jnl`	A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling. CoRR Christophe Bonneville, Xiaolong He, April Tran, Jun Sur Richard Park, William Fries, Daniel A. Messenger, Siu Wun Cheung, Yeonjong Shin, David M. Bortz, Debojyoti Ghosh, Jiun-Shyan Chen, Jonathan L. Belof, Youngsoo Choi
2024	J	`jnl`	Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone. CoRR Christophe Bonneville, Nathan Bieberdorf, Arun Hegde, Mark Asta, Habib N. Najm, Laurent Capolungo, Cosmin Safta
2023	J	`jnl`	Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations. CoRR Christophe Bonneville, Youngsoo Choi, Debojyoti Ghosh, Jonathan L. Belof
2023	J	`jnl`	GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder. CoRR Christophe Bonneville, Youngsoo Choi, Debojyoti Ghosh, Jonathan L. Belof
2022	J	`jnl`	Bayesian deep learning for partial differential equation parameter discovery with sparse and noisy data. J. Comput. Phys. X Christophe Bonneville, Christopher J. Earls
2021	J	`jnl`	Bayesian Deep Learning for Partial Differential Equation Parameter Discovery with Sparse and Noisy Data. CoRR Christophe Bonneville, Christopher J. Earls
2021	J	`jnl`	Gaussian processes for shock test emulation. Reliab. Eng. Syst. Saf. Christophe Bonneville, Maxwell Jenquin, Juan Londono, Alex Kelly, Jeffrey Cipolla, Christopher J. Earls
2020	J	`jnl`	A Principled Approach to Design Using High Fidelity Fluid-Structure Interaction Simulations. CoRR Wensi Wu, Christophe Bonneville, Christopher J. Earls