selected publications
Academic Articles129
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  • Till, A. T., Adams, M. L., & Morel, J. E. (2021). The Finite-Element with Discontiguous-Support Method. Nuclear Science and Engineering. 196(1), 53-74.
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  • Vermaak, J., Ragusa, J. C., & Morel, J. E. (2021). Massively Parallel Transport Sweeps on Meshes with Cyclic Dependencies. Journal of Computational Physics. 425, 109892-109892.
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  • Hanophy, J., Southworth, B. S., Li, R., Manteuffel, T., & Morel, J. (2020). Parallel Approximate Ideal Restriction Multigrid for Solving the SN Transport Equations. Nuclear Science and Engineering. 194(11), 989-1008.
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  • Zhang, Y., Ragusa, J. C., & Morel, J. E. (2020). Model Error Estimation for the Simplified PN Radiation Transport Equations. Nuclear Science and Engineering. 194(10), 903-926.
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Chapters2
  • Larsen, E. W., & Morel, J. E. (2010). Advances in Discrete-Ordinates Methodology. Nuclear Computational Science. 1-84. Springer Netherlands.
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  • Morel, J. E. (2006). Discrete-Ordinates Methods for Radiative Transfer in the Non-Relativistic Stellar Regime. SPECTRAL AND HIGH ORDER METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS ICOSAHOM 2014. Lecture Notes in Computational Science and Engineering. 69-81. Springer-Verlag.
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Conference Papers60
  • Hardy, Z., Morel, J., & Ahrens, C. (2019). Dynamic Mode Decompo- sition for Subcritical Metal Systems. M&C 2019: International Con- ference on Mathematics and Computational Methods Applied to Nu- clear Science and Engineering.
  • Behne, P., Ragusa, J., & Morel, J. (2019). Model Order Reduction for Sn Radiation Transport. M&C 2019: International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering.
  • Hanophy, J., Southworth, B., Manteuffel, T., Morel, J., & Li, R. (2019). Performance of Parallel Approximate Ideal Restriction Multigrid for Transport Applications. M&C 2019: International Con- ference on Mathematics and Computational Methods Applied to Nu- clear Science and Engineering.
  • Zhang, Y., & Morel, J. (2018). Transport Error Estimation via Non-Recursive Residual Monte Carlo. PHYSOR 2018: Reactor Physics Paving The Way Towards More Efficient Systems.
  • Bruss, D., Morel, J., & Ragusa, J. (2017). Adjoint-Based Uncer- tainty Quantification for Radiation Transport Calculations with Un- certain Cross-Section Data. https://www.kns.org/paper/inter paper/lists/n conf name/MC2017/, M&C 2017 - International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering.
Repository Documents / Preprints1
  • Sheriffdeen, S., Ragusa, J. C., Morel, J. E., Adams, M. L., & Bui-Thanh, T. (2019). Accelerating PDE-constrained Inverse Solutions with Deep Learning and Reduced Order Models.
in the news
chaired theses and dissertations
Email
morel@tamu.edu
First Name
Jim
Last Name
Morel
mailing address
Texas A&M University; Nuclear Engineering; 3133 TAMU
College Station, TX 77843-3133
USA