Jim E. Morel
· Professor, Nuclear EngineeringVerifiedTexas A&M University · Nuclear Engineering
Active 1976–2026
About
Jim E. Morel is a Professor in the Department of Nuclear Engineering at Texas A&M University and holds the Nancy & Ron Stinson '53 Professorship. He is also the Director of the Center for Large-Scale Scientific Simulations (CLASS) and a joint faculty appointee at Los Alamos National Laboratory. His educational background includes a Ph.D. in Nuclear Engineering from the University of New Mexico, obtained in 1979, a Master of Science in Nuclear Engineering from Louisiana State University in 1974, and a Bachelor of Science in Mathematics from Louisiana State University in 1972. His research interests focus on discretization and multilevel solution techniques for deterministic particle transport, hybrid deterministic/Monte Carlo methods for particle transport, radiation-hydrodynamics, and multiphysics methods. He is involved with groups applying computational and data sciences to national security and nuclear engineering. Dr. Morel's work emphasizes the development and application of advanced computational methods to solve complex problems in nuclear engineering and related fields.
Research topics
- Mathematics
- Physics
- Applied mathematics
- Mathematical analysis
- Computer science
Selected publications
Journal of Quantitative Spectroscopy and Radiative Transfer · 2026-02-12
articleArXiv.org · 2025-12-04
preprintOpen accessWe derive a grey linear diffusion equation for photons with respect to inertial (or lab-frame) space and time, using asymptotic analysis in 1D planar geometry. The solution of the equation is the comoving radiation energy density. Our analysis does not make use of assumptions about the magnitude of velocity; instead we derive an asymptotic scaling in the lab frame such that we avoid apparent non-physical pathologies that are encountered with the standard static-matter scaling. We permit the photon direction to be continuous (as opposed to constraining the analysis to discrete ordinates). The result is a drift-diffusion equation in the lab frame for comoving radiation energy density, with an adiabatic term that matches the standard semi-relativistic diffusion equation. Following a recent study for discrete directions, this equation reduces to a pure advection equation as the velocity approaches the speed of light. We perform preliminary numerical experiments comparing solutions to relativistic lab-frame Monte Carlo transport and to the well-known semi-relativistic diffusion equation.
A Second Moment Transport Method for Semi-Implicit Nonlinear Thermal Radiative Transfer
2025-01-01
articleSenior author2025-01-01 · 1 citations
articleComputer Physics Communications · 2025-12-21 · 1 citations
articleOpen accessJournal of Computational Physics · 2025-04-26
erratumSenior authorCorrespondingA Residual Monte Carlo Algorithm for Continuous Energy Neutron Transport with Elastic Scattering
Nuclear Science and Engineering · 2025-06-30 · 1 citations
articleSenior authorSSRN Electronic Journal · 2025-01-01
preprintOpen accessReduced Memory Discretization Scheme for Time-Dependent Thermal Radiative Transfer Problems
2025-01-01
articleSenior authorSweep-Based Uncollided-Flux Treatment On Unstructured Grids
2025-01-01
articleSenior author
Frequent coauthors
- 27 shared
Jean C. Ragusa
Texas A&M University
- 27 shared
Robert B. Lowrie
Los Alamos National Laboratory
- 22 shared
Todd A. Wareing
Varian Medical Systems (United States)
- 22 shared
James S. Warsa
- 21 shared
Marvin L. Adams
Texas A&M University
- 16 shared
Jan I.C. Vermaak
Idaho National Laboratory
- 16 shared
J.M. McGhee
Varian Medical Systems (United States)
- 10 shared
Edward W. Larsen
University of Michigan–Ann Arbor
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