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Particle-in-cell (hPIC) data

    Pablo Seleson | Oak Ridge National Laboratory
    Mohammad Mustafa | University of Illinois
    Davide Curreli | University of Illinois
    Cory D Hauck | Oak Ridge National Laboratory
    Miroslav Stoyanov | Oak Ridge National Laboratory
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Description

Data generated from the hPIC particle-in-cell code to construct a surrogate ion energy-angle distribution (IEAD) model.

Funding Information

DOE Contract Number

DE- AC05-00OR22725

Originating Research Organization

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Other Contributing Organizations

University of Illinois

Sponsoring Organization

Office of Science (SC)

Details

DOI

https://doi.org/10.13139/ORNLNCCS/1846780

Release Date

March 10, 2022

Subject

70 PLASMA PHYSICS AND FUSION TECHNOLOGY

Keywords

surrogate modeling, data-driven, uncertainty quantification, plasma physics, sparse grids, sensitivity analysis

Dataset

Dataset Type

ND Numeric Data

Cite This Dataset:

Seleson, P., Mustafa, M., Curreli, D., Hauck, C., Stoyanov, M., Bernholdt, D. (2022). Particle-in-cell (hPIC) data. Oak Ridge National Laboratory. https://doi.org/10.13139/ORNLNCCS/1846780.

Acknowledgements

This work was carried out [in part] at Oak Ridge National Laboratory, managed by UT-Battelle, LLC for the U.S. Department of Energy under contract DE-AC05-00OR22725.