J. M. Koning

Lawrence Livermore National Laboratory — United States

Physics and Astronomy · Physical Sciences

19h-index2.1kcitations88works65.02yr avg
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Research Topics

Laser-Plasma Interactions and Diagnostics(33), Laser-induced spectroscopy and plasma(23), Magnetic confinement fusion research(20), Electromagnetic Simulation and Numerical Methods(9), Nuclear Physics and Applications(8)

Publications86 total

Assessing the performance of MagLIF with 3D MHD simulations
Physics of Plasmas·2025· 7 citedOpen Access
How numerical simulations helped to achieve breakeven on the NIF
Physics of Plasmas·2024· 18 citedOpen Access
Toward digital design at the exascale: An overview of project ICECap
Physics of Plasmas·2024· 9 citedOpen Access
The impact of low-mode symmetry on inertial fusion energy output in the burning plasma state
Nature Communications·2024· 24 citedOpen Access
The impact of low-mode symmetry on inertial fusion energy output in the burning plasma state
Research Square (Research Square)·2024· 1 citedOpen Access
Publisher Correction: Burning plasma achieved in inertial fusion
Nature·2022· 3 citedOpen Access
Enabling machine learning-ready HPC ensembles with Merlin
Future Generation Computer Systems·2022· 36 citedOpen Access
Burning plasma achieved in inertial fusion
Nature·2022· 498 citedOpen Access
Design of inertial fusion implosions reaching the burning plasma regime
Nature Physics·2022· 190 citedOpen Access
Engineering Robustness into Inertial Confinement Fusion Designs
Bulletin of the American Physical Society·2020· 1 cited
Progress Towards Automating HYDRA Mesh Management via Reinforcement Learning
2020Open Access
Deep learning for NLTE spectral opacities
Physics of Plasmas·2020· 36 citedOpen Access
Flux: Overcoming scheduling challenges for exascale workflows
Future Generation Computer Systems·2020· 68 citedOpen Access
Electron beam irradiated foil expansion simulated by a coupled HYDRA/MCNP6 application
2020Open Access
Preparing Dense Net for Automated HYDRA Mesh Management via Reinforcement Learning
2019· 2 citedOpen Access
Merlin: Enabling Machine Learning-Ready HPC Ensembles
arXiv (Cornell University)·2019· 12 citedOpen Access
Enabling Machine Learning-Ready HPC Ensembles with Merlin
arXiv (Cornell University)·2019· 4 citedOpen Access
Using Machine Learning to Automate Mesh Management for HYDRA Simulations
Bulletin of the American Physical Society·2019
Three-dimensional modeling and hydrodynamic scaling of National Ignition Facility implosions
Physics of Plasmas·2019· 104 citedOpen Access
Analysis of Predictivity of Hohlraum Simulations of Implosion Experiments on the NIF
APS·2019· 3 cited
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Frequent Co-authors

D. S. Clark(10), M. M. Marinak(10), Jim Gaffney(9), Kelli Humbird(9), G. D. Kerbel(9), Bogdan Kustowski(9), A. L. Kritcher(8), O. S. Jones(8), S. Langer(8), H. F. Robey(7), C. V. Young(7), L. Divol(7), S. W. Haan(7), D. E. Hinkel(7), D. Ho(7), L. Massé(7), M. V. Patel(7), B. K. Spears(7), D. White(7), M. M. Marinak(7)