Personal profile
Biography
Jason Hales is a computational scientist specializing in parallel, nonlinear, fully coupled multi-physics software. His technical skills include numerical methods, high performance computing, non-linear solid mechanics, material model development, finite element contact, and multi-physics coupling. Dr. Hales currently serves as a senior advisor in the Advanced Scientific Computing Division. He joined INL in 2010 with a principal focus on non-linear solid mechanics capability development. Since joining INL, he has been a primary author of Bison, INL’s nuclear fuel performance application. Dr. Hales managed INL’s Computational Mechanics and Materials Department, which develops a set of multi-physics applications in support of several DOE-NE programs, from May 2014 to May 2024. Dr. Hales served in leadership positions in DOE-NE programs (Nuclear Energy Advanced Modeling and Simulation (NEAMS) and Consortium for Advanced Simulation of LWRs (CASL)) for six years. In those positions, he oversaw work on the development of models for novel nuclear fuels and materials. He has authored technical papers on computational aspects of mechanics and nuclear fuel behavior in journals such as Computational Mechanics and Journal of Nuclear Materials. Before joining INL he spent nine years at Sandia National Laboratories where he worked on the solid mechanics applications in SIERRA. Dr. Hales holds B.S. and M.S. degrees in civil engineering from Brigham Young University and a Ph.D. in civil engineering from the University of Illinois at Urbana-Champaign.
Research Interests
Computational mechanics, numerical methods, multiphysics
Education/Academic qualification
PhD, Civil Engineering, University of Illinois at Urbana-Champaign
Aug 1997 → Aug 2001
Master, Civil & Environmental Engineering, Brigham Young University
May 1994 → Apr 1997
Bachelor, Civil & Environmental Engineering, Brigham Young University
May 1994 → Apr 1997
External positions
Principal Member of Technical Staff, Sandia National Laboratories
Sep 10 2001 → Oct 11 2010
Keywords
- QA76 Computer software
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Collaborations and top research areas from the last five years
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Enabling BWR fuel rod analysis in the BISON fuel performance code
Gamble, K. A., Toptan, A., Simon, P. C. A., van Wasshenova, D. J. & Hales, J. D., Oct 2025, In: Journal of Nuclear Materials. 616, 156038.Research output: Contribution to journal › Article › peer-review
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Multiscale Modeling of the Mechanical Response of Silicon Carbide Composite Within the Accelerated Fuel Qualification Framework
Jacobsen, G. M., Ellis, C., Kosmatka, J., Shatoff, H., Mijatovic, P., Lebensohn, R., Capolungo, L., Spilker, K., Gamble, K., Singh, G., Hales, J. & Back, C., May 28 2025, In: Nuclear Technology. p. 1-19 19 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Analysis of buffer-IPyC separation in TRISO fuel particles
Krajewska, Z. M., Hales, J. D. & Jiang, W., May 2024, In: Annals of Nuclear Energy. 199, 110338.Research output: Contribution to journal › Article › peer-review
8 Scopus citations -
Axial Gas Communication Modeling in the BISON Fuel Performance Code
Vanwasshenova, D. J., Hales, J. D., Yueh, K. & Gamble, K. A., Dec 4 2024Research output: Book/Report › Program Document
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Bayesian uncertainty quantification of tristructural isotropic particle fuel silver release: Decomposing model inadequacy plus experimental noise and parametric uncertainties
Dhulipala, S. L. N., Toptan, A., Che, Y., Schwen, D., Sweet, R. T., Hales, J. D. & Novascone, S. R., Jan 1 2024, In: Journal of Nuclear Materials. 588, 154790.Research output: Contribution to journal › Article › peer-review
Open Access9 Scopus citations
Prizes
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2021 R&D 100 Award for Bison
Hales, J. (Recipient), Williamson, R. (Recipient), Casagranda, A. (Recipient), Gamble, K. (Recipient), Novascone, S. (Recipient), Pitts, S. (Recipient), Singh, G. (Recipient), Spencer, B. (Recipient), Toptan, A. (Recipient) & Jiang, W. (Recipient), 2021
Prize: Honorary award
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Press/Media
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Data from Idaho National Laboratory Broaden Understanding of Computer Software (2.0 - MOOSE: Enabling massively parallel multiphysics simulation)
Spencer, B., Hansel, J., Permann, C., German, P., Hales, J., Biswas, S., Schwen, D., Lindsay, A., Stogner, R., Icenhour, C., Jiang, W. & Giudicelli, G.
12/13/22
1 item of Media coverage
Press/Media
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Reports from Idaho National Laboratory Add New Data to Findings in Information Technology (Reliability Estimation of an Advanced Nuclear Fuel Using Coupled Active Learning, Multifidelity Modeling, and Subset Simulation)
Spencer, B., Hales, J., Dhulipala, S., Bolisetti, C. & Jiang, W.
12/12/22
1 item of Media coverage
Press/Media
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Modeling advances drive improvements in fuel performance, safety
Benjamin Spencer & Jason Hales
05/24/22
1 item of Media coverage
Press/Media
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Idaho National Laboratory wins four R&D 100 Awards
Spencer, B., Fox, R., McJunkin, T., Atifi, A., Klett, T., Ding, D., Hales, J., Novascone, S., Pitts, S., Agarwal, V., Gamble, K., McCarty, M., Williamson, R., Baek, D., Singh, G. & Jiang, W.
10/26/21
3 items of Media coverage
Press/Media
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