| Deep neural network initialization with decision trees KD Humbird, JL Peterson, RG McClarren IEEE transactions on neural networks and learning systems 30 (5), 1286-1295, 2018 | 205 | 2018 |
| Robust and accurate filtered spherical harmonics expansions for radiative transfer RG McClarren, CD Hauck Journal of Computational Physics 229 (16), 5597-5614, 2010 | 162 | 2010 |
| Uncertainty Quantification and Predictive Computational Science RG McClarren Springer International Publishing, 2018 | 142* | 2018 |
| Theoretical Aspects of the Simplified Pn Equations RG McClarren Transport Theory and Statistical Physics 39 (2-4), 73-109, 2010 | 123 | 2010 |
| Transfer learning to model inertial confinement fusion experiments KD Humbird, JL Peterson, BK Spears, RG McClarren IEEE Transactions on Plasma Science 48 (1), 61-70, 2019 | 107 | 2019 |
| Positive Closures C Hauck, R McClarren SIAM Journal on Scientific Computing 32 (5), 2603-2626, 2010 | 99 | 2010 |
| On solutions to the Pn equations for thermal radiative transfer RG McClarren, JP Holloway, TA Brunner Journal of Computational Physics 227 (5), 2864-2885, 2008 | 99 | 2008 |
| Semi-implicit time integration for PN thermal radiative transfer RG McClarren, TM Evans, RB Lowrie, JD Densmore Journal of Computational Physics 227 (16), 7561-7586, 2008 | 93 | 2008 |
| A modified implicit Monte Carlo method for time-dependent radiative transfer with adaptive material coupling RG McClarren, TJ Urbatsch Journal of Computational Physics 228 (16), 5669-5686, 2009 | 73 | 2009 |
| A low-rank method for two-dimensional time-dependent radiation transport calculations Z Peng, RG McClarren, M Frank Journal of Computational Physics 421, 109735, 2020 | 72* | 2020 |
| Computational nuclear engineering and radiological science using python R McClarren Academic Press, 2017 | 55 | 2017 |
| Radiative effects in radiative shocks in shock tubes RP Drake, FW Doss, RG McClarren, ML Adams, N Amato, D Bingham, ... High Energy Density Physics 7 (3), 130-140, 2011 | 51 | 2011 |
| Implicit filtered PN for high-energy density thermal radiation transport using discontinuous Galerkin finite elements VM Laboure, RG McClarren, CD Hauck Journal of Computational Physics 321, 624-643, 2016 | 50 | 2016 |
| The effects of slope limiting on asymptotic-preserving numerical methods for hyperbolic conservation laws RG McClarren, RB Lowrie Journal of Computational Physics 227 (23), 9711-9726, 2008 | 49 | 2008 |
| A high-order/low-order (HOLO) algorithm for preserving conservation in time-dependent low-rank transport calculations Z Peng, RG McClarren Journal of Computational Physics 447, 110672, 2021 | 47 | 2021 |
| A collision-based hybrid method for time-dependent, linear, kinetic transport equations CD Hauck, RG McClarren Multiscale Modeling & Simulation 11 (4), 1197-1227, 2013 | 47 | 2013 |
| Calculating time eigenvalues of the neutron transport equation with dynamic mode decomposition RG McClarren Nuclear Science and Engineering 193 (8), 854-867, 2019 | 45 | 2019 |
| Simulating radiative transfer with filtered spherical harmonics RG McClarren, CD Hauck Physics Letters A 374 (22), 2290-2296, 2010 | 45 | 2010 |
| Analytic P1 solutions for time-dependent, thermal radiative transfer in several geometries RG McClarren, JP Holloway, TA Brunner Journal of Quantitative Spectroscopy and Radiative Transfer 109 (3), 389-403, 2008 | 45 | 2008 |
| Machine Learning for Engineers RG McClarren Springer International Publishing, 2021 | 43* | 2021 |
Cory HauckOak Ridge National Laboratory, University of TennesseeVerified email at ornl.gov
