A Principled Approach to Design Using High Fidelity Fluid-Structure Interaction Simulations. - Wensi Wu; Christophe Bonneville; Christopher J. Earls (CoRR, 2020)

Gaussian processes for shock test emulation. - Christophe Bonneville; Maxwell Jenquin; Juan Londono; Alex Kelly; Jeffrey Cipolla; Christopher J. Earls (Reliab. Eng. Syst. Saf., 2021)

Bayesian deep learning for partial differential equation parameter discovery with sparse and noisy data. - Christophe Bonneville; Christopher J. Earls (J. Comput. Phys. X, 2022)

GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder. - Christophe Bonneville; Youngsoo Choi; Debojyoti Ghosh; Jonathan L. Belof (CoRR, 2023)

Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations. - Christophe Bonneville; Youngsoo Choi; Debojyoti Ghosh; Jonathan L. Belof (CoRR, 2023)

A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling. - Christophe Bonneville; Xiaolong He 001; 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; et al. (CoRR, 2024)

Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone. - Christophe Bonneville; Nathan Bieberdorf; Arun Hegde; Mark Asta; Habib N. Najm; Laurent Capolungo; Cosmin Safta (CoRR, 2024)