Jon Belof

According to our database, Jon Belof authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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, March, 2025

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

A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling.

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

CoRR, 2024

2023

gLaSDI: Parametric physics-informed greedy latent space dynamics identification.

Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen

J. Comput. Phys., 2023

Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations.

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

GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder.

Christophe Bonneville, Youngsoo Choi, Debojyoti Ghosh, Jonathan L. Belof

CoRR, 2023

2022

Certified data-driven physics-informed greedy auto-encoder simulator.

Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen

CoRR, 2022

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