85 citations · 182 across the 12 of their papers we have counts for
6 papers · 1 filter
A joint diffusion approach to multi-modal inference in inertial confinement fusion
Michael S. Jones, Justin Kunimune, Daniel Casey +3
A combination of physics-based simulation and experiments has been critical to achieving ignition in inertial confinement fusion (ICF). Simulation and experiment both produce a mix…
2022 Review of Data-Driven Plasma Science
Rushil Anirudh, Rick Archibald, M. Salman Asif +60
Data science and technology offer transformative tools and methods to science. This review article highlights latest development and progress in the interdisciplinary field of data…
Transfer learning driven design optimization for inertial confinement fusion
K. D. Humbird, J. L. Peterson
Transfer learning is a promising approach to creating predictive models that incorporate simulation and experimental data into a common framework. In this technique, a neural netwo…
Transfer Learning of High-Fidelity Opacity Spectra in Autoencoders and Surrogate Models
Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird
Simulations of high energy density physics are expensive, largely in part for the need to produce non-local thermodynamic equilibrium opacities. High-fidelity spectra may reveal ne…
Experiments conducted in the burning plasma regime with inertial fusion implosions
J. S. Ross, J. E. Ralph, A. B. Zylstra +149
An experimental program is currently underway at the National Ignition Facility (NIF) to compress deuterium and tritium (DT) fuel to densities and temperatures sufficient to achiev…
Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements
Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird
Simulations of high energy density physics are expensive in terms of computational resources. In particular, the computation of opacities of plasmas in the non-local thermal equili…