Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-Meshkov Instabilities. - Charles F. Jekel; Dane M. Sterbentz; Sylvie Aubry; Youngsoo Choi; Daniel A. White; Jonathan L. Belof (CoRR, 2022)

Certified data-driven physics-informed greedy auto-encoder simulator. - Xiaolong He 001; Youngsoo Choi; William D. Fries; Jonathan L. Belof; Jiun-Shyan Chen (CoRR, 2022)

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

Accelerating Kinetic Simulations of Electrostatic Plasmas with Reduced-Order Modeling. - Ping-Hsuan Tsai; Seung Whan Chung; Debojyoti Ghosh; John Loffeld; Youngsoo Choi; 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)

gLaSDI: Parametric physics-informed greedy latent space dynamics identification. - Xiaolong He 001; Youngsoo Choi; William D. Fries; Jonathan L. Belof; Jiun-Shyan Chen (J. Comput. Phys., 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)

Machine Learning Visualization Tool for Exploring Parameterized Hydrodynamics. - Charles F. Jekel; Dane M. Sterbentz; Thomas M. Stitt; P. Mocz; Robert N. Rieben; Daniel A. White; Jonathan L. Belof (CoRR, 2024)

Differentiable Lagrangian Shock Hydrodynamics with Application to Stable Shock Acceleration of Density Interfaces. - Kevin Körner; Brandon Talamini; Julian Andrej; Michael Tupek; Bill Moses; Robert N. Rieben; Tzanio V. Kolev; Jamie A. Bramwell; Daniel A. White; Jon Belof; William Schill (CoRR, 2025)