85 citations · 182 across the 12 of their papers we have counts for
4 papers · 1 filter
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 as a Method to Reproduce High-Fidelity NLTE Opacities in Simulations
Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird
Simulations of high-energy density physics often need non-local thermodynamic equilibrium (NLTE) opacity data. This data, however, is expensive to produce at relatively low-fidelit…
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…