Ryan G. McClarren
Ryan G. McClarren is an American computational scientist and professor of aerospace and mechanical engineering at the University of Notre Dame, where he also serves as Director of Graduate Studies in the Department of Aerospace and Mechanical Engineering.[1] His research focuses on computational methods for particle transport, uncertainty quantification, and high-energy density physics. He become a Fellow of the American Nuclear Society in 2022.[2]
Early life and education
McClarren earned his B.S.E. in Nuclear Engineering and Radiological Sciences, with a minor in Mathematics, from the University of Michigan in 2003, graduating cum laude.[3] He continued at Michigan to complete an M.S.E. in 2004 and a Ph.D. in 2007, both in Nuclear Engineering and Radiological Sciences.[4] His doctoral dissertation, Spherical Harmonics Methods for Thermal Radiation Transport, was supervised by James P. Holloway.[5]
Academic and professional career
After receiving his doctorate, McClarren joined Los Alamos National Laboratory as a postdoctoral associate (2007–2008) and later as a technical staff member in the Computational Physics Group (2008).[4]
He then began his academic career at Texas A&M University, serving as a visiting assistant professor from 2008-2011 and then as assistant professor from 2011 to 2017[6] and associate professor from 2017 to 2023 in the Department of Aerospace Engineering.[7]
In 2023, McClarren joined the University of Notre Dame as professor of aerospace and mechanical engineering. He has served as Director of Graduate Studies for the department since 2021.[8]
McClarren is also the Deputy Director of the Center for Exascale Monte Carlo Neutron Transport (CEMeNT), a U.S. Department of Energy/NNSA Predictive Science Academic Alliance Program center.[9]
In 2013 he was the lead scientist on a campaign to forecast the Academy Awards.[10]
His work focuses on developing advanced computational and numerical methods for solving the transport equation, particularly in multidimensional and time-dependent systems.[11]
He has made contributions to the understanding and modeling of particle transport processes involving neutrons, photons, and x-rays, with applications in nuclear engineering, astrophysics, and high-energy density physics.[12]
Selected publications
- McClarren, R. G.; Peterson, J. L.; Humbird, K. D. (2018). "Deep neural network initialization with decision trees". IEEE Transactions on Neural Networks and Learning Systems. 5 (30). arXiv:1707.00784.
- McClarren, Ryan G.; Hauck, Cory D. (August 2010). "Robust and accurate filtered spherical harmonics expansions for radiative transfer". Journal of Computational Physics. 229 (16): 5597–5614. Bibcode:2010JCoPh.229.5597M. doi:10.1016/j.jcp.2010.03.043. ISSN 0021-9991.
- McClarren, Ryan G. (2018). Uncertainty quantification and predictive computational science: a foundation for physical scientists and engineers. Cham, Switzerland: Springer. ISBN 978-3319995243. Search this book on
- McClarren, Ryan G. (March 2010). "Theoretical Aspects of the Simplified P n Equations". Transport Theory and Statistical Physics. 39 (2–4): 73–109. doi:10.1080/00411450.2010.535088.
- Humbird, K. D.; Peterson, J. L.; Spears, B. K.; McClarren, R. G. (January 2020). "Transfer Learning to Model Inertial Confinement Fusion Experiments". IEEE Transactions on Plasma Science. 48 (1): 61–70. Bibcode:2020ITPS...48...61H. doi:10.1109/TPS.2019.2955098. OSTI 1650463. Unknown parameter
|s2cid=ignored (help) - Hauck, Cory; McClarren, Ryan (January 2010). "Positive $P_N$ Closures". SIAM Journal on Scientific Computing. 32 (5): 2603–2626. Bibcode:2010SJSC...32.2603H. doi:10.1137/090764918. ISSN 1064-8275.
- McClarren, Ryan G.; Holloway, James Paul; Brunner, Thomas A. (February 2008). "On solutions to the Pn equations for thermal radiative transfer". Journal of Computational Physics. 227 (5): 2864–2885. Bibcode:2008JCoPh.227.2864M. doi:10.1016/j.jcp.2007.11.027. ISSN 0021-9991.
- McClarren, Ryan G.; Evans, Thomas M.; Lowrie, Robert B.; Densmore, Jeffery D. (10 August 2008). "Semi-implicit time integration for PN thermal radiative transfer". Journal of Computational Physics. 227 (16): 7561–7586. doi:10.1016/j.jcp.2008.04.029. ISSN 0021-9991.
References
- ↑ Welding, Nina (2021-01-06). "Norte Dame Engineering Prof. McClarren named deputy director of Center for Exascale Monte Carlo Neutron Transport (CEMeNT)". Aerospace and Mechanical Engineering. Retrieved 2025-12-05.
- ↑ "Award Recipients / Fellow of ANS -- ANS / Honors and Awards". www.ans.org. Retrieved 2025-12-05.
- ↑ McAlpine, Kate (2023-06-20). "$27 million for laboratory astrophysics and nuclear fusion, led by U-M". Michigan Engineering News. Retrieved 2025-12-05.
- ↑ 4.0 4.1 "NPRE 596 Graduate Seminar Series - Ryan G. McClarren". calendars.illinois.edu. Retrieved 2025-12-05.
- ↑ Spherical Harmonics Methods for Thermal Radiation Transport
- ↑ Scoggins, Robert (Chris). "Nuclear engineering faculty recipients of College of Engineering Faculty Awards". engineering.tamu.edu. Retrieved 2025-12-05.
- ↑ Fuenzalida, María Consuelo. "Alumna del área de Ingeniería Matemática y Computacional UC realiza estadía de investigación en Texas A&M University". Ingeniería UC. Retrieved 2025-12-05.
- ↑ Welding, Nina (2021-01-08). "McClarren to lead ND team as deputy director of new predictive science center | Center for Research Computing | University of Notre Dame". Center for Research Computing. Retrieved 2025-12-05.
- ↑ "Special Session on Research Activities of the Center for Exascale Monte Carlo Neutron Transport (CEMeNT): II -- ANS / Conferences / International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025) / Technical Sessions". www.ans.org. Retrieved 2025-12-05.
- ↑ Bialik, Carl (2013-02-22). "And the Oscar-Pool Winners Are...the Stats Dudes". Wall Street Journal. ISSN 0099-9660. Retrieved 2025-12-05.
- ↑ McClarren, Ryan G.; Haut, Terry S. (2022-01-01). "Data-driven acceleration of thermal radiation transfer calculations with the dynamic mode decomposition and a sequential singular value decomposition". Journal of Computational Physics. 448. arXiv:2009.11686. Bibcode:2022JCoPh.44810756M. doi:10.1016/j.jcp.2021.110756. ISSN 0021-9991. Unknown parameter
|article-number=ignored (help) - ↑ Welding, Nina (2018-05-02). "McClarren publishes textbook on computational nuclear engineering and radiological science". Notre Dame Research. Retrieved 2025-12-05.
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