Richard June Espino Abrantes
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Richard June Espino Abrantes has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
D. Bilyeu
Air Force Res Lab, Edwards AFB, CA 93524 USA
2 shared publications- Robert Martin
Army Research Office
2 shared publications Shawn D. Pautz
2 shared publications- Stephen David Bond
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
2 shared publications Albuquerque Sandia National Laboratories (Snl-Nm)
1 shared publication- Ann R. Karagozian
University of California
1 shared publication
Latest Publications
- 20 August 2026
- Published by Elsevier in Journal of Computational Physics
- Vol. 567
Homogenization of radiation transport calculations for multi-physics simulations
- 20 August 2026
- Published by Elsevier in Journal of Computational Physics
- Vol. 567
Homogenization of radiation transport calculations for multi-physics simulations
- Open Access
- 1 October 2025
- Published by Office of Scientific and Technical Information (OSTI)
Hydrodynamic Coupling to a Homogenized Radiation Transport Method based on Young Measures
Resolving radiation transport fields subject to opacity profiles with strong, oscillatory line structure while potentially falling under intermediate optical depth conditions presents a numerical challenge in radiation transport modeling. The Young measure-based homogenization technique formulated by Haut et al. (2017) was investigated as a candidate method for resolving radiation fields under such conditions more accurately. The method was compared against frequently-utilized mean opacity methods as the Rosseland and Planck formulations. In this work, all methods were tested through radiation slab calculations separately comprised of aluminum, copper, and krypton, each for different thermodynamic conditions. Following these offline radiation slab calculations, demonstrations shifted towards the SCEPTRE radiation transport code and, subsequently, the multiphysics ALEGRA code for approximately-coupled radiation-material simulations. Throughout all the simulations shown in this study, for a fixed computational cost, the homogenized method was observed to be more accurate than any of the solutions determined through traditional mean opacity approaches.
- 1 October 2025
- Published by Office of Scientific and Technical Information (OSTI)
Open AccessHydrodynamic Coupling to a Homogenized Radiation Transport Method based on Young Measures
Resolving radiation transport fields subject to opacity profiles with strong, oscillatory line structure while potentially falling under intermediate optical depth conditions presents a numerical challenge in radiation transport modeling. The Young measure-based homogenization technique formulated by Haut et al. (2017) was investigated as a candidate method for resolving radiation fields under such conditions more accurately. The method was compared against frequently-utilized mean opacity methods as the Rosseland and Planck formulations. In this work, all methods were tested through radiation slab calculations separately comprised of aluminum, copper, and krypton, each for different thermodynamic conditions. Following these offline radiation slab calculations, demonstrations shifted towards the SCEPTRE radiation transport code and, subsequently, the multiphysics ALEGRA code for approximately-coupled radiation-material simulations. Throughout all the simulations shown in this study, for a fixed computational cost, the homogenized method was observed to be more accurate than any of the solutions determined through traditional mean opacity approaches.
- 22 February 2022
- Published by Elsevier in Journal of Quantitative Spectroscopy and Radiative Transfer
- Vol. 283
Rate coefficient function estimation using Gaussian process regression
- 22 February 2022
- Published by Elsevier in Journal of Quantitative Spectroscopy and Radiative Transfer
- Vol. 283
Rate coefficient function estimation using Gaussian process regression
- 1 February 2021
- Published by AIP Publishing in Physics of Plasmas
- Vol. 28 (2) , 022104
Reduced-order modeling of plasma ionization due to multifluid, collisional-radiative effects
Collisional rate calculations which account for relative multifluid streaming were implemented in a collisional-radiative model that is applicable for a generalized set of atomic elements. The rate modifications for multifluid streaming were derived in two recent studies for electron-impact excitation, de-excitation, ionization, and recombination [H. P. Le and J.-L. Cambier, Phys. Plasmas 22, 093512 (2015); 23, 063505 (2016)]. This study follows from the previous studies by extending the derivations to radiative recombination. However, the memory intensive aspect of expanding the collisional rate tabulations to temperature and multifluid effects can become a numerical obstacle for large-scale plasma simulations. The main objective of this study is to explore reduced-order modeling approaches for collisional-radiative systems that may adopt collisional rate accounting for multifluid streaming. The ionization test case simulated in this work uses the quasi-steady-state solution and two Boltzmann grouping approaches, one of which is the ionic excitation concept and the other being a relatively finer selection of Boltzmann groups. The reduced-order models captured the general trend of the detailed model, providing a foundation from which to improve or perform coupled plasma simulations in the future.
- 1 February 2021
- Published by AIP Publishing in Physics of Plasmas
- Vol. 28 (2) , 022104
Reduced-order modeling of plasma ionization due to multifluid, collisional-radiative effects
Collisional rate calculations which account for relative multifluid streaming were implemented in a collisional-radiative model that is applicable for a generalized set of atomic elements. The rate modifications for multifluid streaming were derived in two recent studies for electron-impact excitation, de-excitation, ionization, and recombination [H. P. Le and J.-L. Cambier, Phys. Plasmas 22, 093512 (2015); 23, 063505 (2016)]. This study follows from the previous studies by extending the derivations to radiative recombination. However, the memory intensive aspect of expanding the collisional rate tabulations to temperature and multifluid effects can become a numerical obstacle for large-scale plasma simulations. The main objective of this study is to explore reduced-order modeling approaches for collisional-radiative systems that may adopt collisional rate accounting for multifluid streaming. The ionization test case simulated in this work uses the quasi-steady-state solution and two Boltzmann grouping approaches, one of which is the ionic excitation concept and the other being a relatively finer selection of Boltzmann groups. The reduced-order models captured the general trend of the detailed model, providing a foundation from which to improve or perform coupled plasma simulations in the future.
- 1 April 2020
- Published by Elsevier in Journal of Computational Physics
- Vol. 407
Complexity-reduction using automatic level grouping for atomic collisional-radiative models
- 1 April 2020
- Published by Elsevier in Journal of Computational Physics
- Vol. 407
Complexity-reduction using automatic level grouping for atomic collisional-radiative models
- 1 September 2018
- Published by Elsevier in Journal of Quantitative Spectroscopy and Radiative Transfer
- Vol. 216, 47-55
Complexity reduction effects on transient, atomic plasmas
- 1 September 2018
- Published by Elsevier in Journal of Quantitative Spectroscopy and Radiative Transfer
- Vol. 216, 47-55
Complexity reduction effects on transient, atomic plasmas