Jonathan L. Belof

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Local reduced-order modeling for electrostatic plasmas by physics-informed solution manifold decomposition.
Comput. Phys. Commun.
Ping-Hsuan Tsai, Seung Whan Chung, Debojyoti Ghosh, John Loffeld, Youngsoo Choi, Jonathan L. Belof
2026 J jnl
Multi-Agent Collaboration for Automated Design Exploration on High Performance Computing Systems.
CoRR
Harshitha Menon, Charles F. Jekel, Kevin Korner, Brian Gunnarson, Nathan K. Brown, Michael Stees, M. Giselle Fernández-Godino, Walter Nissen, Meir H. Shachar, Dane M. Sterbentz, William Schill, Yue Hao, Robert N. Rieben, William Roshan Quadros, Steven Owen, Scott Mitchell, Ismael D. Boureima, Jonathan L. Belof
2025 J jnl
Multi-Agent Design Assistant for the Simulation of Inertial Fusion Energy.
CoRR
Meir H. Shachar, Dane M. Sterbentz, Harshitha Menon, Charles F. Jekel, M. Giselle Fernández-Godino, Nathan K. Brown, Ismael D. Boureima, Yue Hao, Kevin Körner, Robert N. Rieben, Daniel A. White, William Schill, Jonathan L. Belof
2025 J jnl
Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media.
CoRR
M. Giselle Fernández-Godino, Meir H. Shachar, Kevin Körner, Jonathan L. Belof, Mukul Kumar, Jonathan Lind, William Schill
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
Machine Learning Visualization Tool for Exploring Parameterized Hydrodynamics.
CoRR
Charles F. Jekel, Dane M. Sterbentz, Thomas M. Stitt, Philip Mocz, Robert N. Rieben, Daniel A. White, Jonathan L. Belof
2024 J jnl
Machine learning visualization tool for exploring parameterized hydrodynamics
Mach. Learn. Sci. Technol.
Charles F. Jekel, Dane M. Sterbentz, Thomas M. Stitt, Philip Mocz, Robert N. Rieben, Daniel A. White, Jonathan L. Belof
2023 J jnl
Accelerating Kinetic Simulations of Electrostatic Plasmas with Reduced-Order Modeling.
CoRR
Ping-Hsuan Tsai, Seung Whan Chung, Debojyoti Ghosh, John Loffeld, Youngsoo Choi, Jonathan L. Belof
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
2023 J jnl
gLaSDI: Parametric physics-informed greedy latent space dynamics identification.
J. Comput. Phys.
Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen
2022 J jnl
Certified data-driven physics-informed greedy auto-encoder simulator.
CoRR
Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen
2022 J jnl
Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-Meshkov Instabilities.
CoRR
Charles F. Jekel, Dane M. Sterbentz, Sylvie Aubry, Youngsoo Choi, Daniel A. White, Jonathan L. Belof