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ORCIDRyan G. McClarren
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2020 – today
- 2024
[j31]Minwoo Shin, Cory D. Hauck, Ryan G. McClarren:
A collision-based hybrid method for the BGK equation. J. Comput. Phys. 501: 112784 (2024)- [j30]Johannes Krotz
, Cory D. Hauck, Ryan G. McClarren:
A hybrid Monte Carlo, discontinuous Galerkin method for linear kinetic transport equations. J. Comput. Phys. 514: 113253 (2024) - [j29]Joanna Piper Morgan, Ilham Variansyah, Samuel L. Pasmann, Kayla B. Clements, Braxton Cuneo, Alexander Mote, Charles Goodman, Caleb Shaw, Jordan Northrop, Rohan Pankaj, Ethan Lame, Benjamin Whewell, Ryan G. McClarren, Todd S. Palmer, Lizhong Chen, Dmitriy Y. Anistratov, C. T. Kelley, Camille J. Palmer, Kyle E. Niemeyer:
Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development. J. Open Source Softw. 9(96): 6415 (2024) - [i19]Joseph Farmer, Ethan Smith, William Bennett, Ryan G. McClarren:
High Energy Density Radiative Transfer in the Diffusion Regime with Fourier Neural Operators. CoRR abs/2405.04003 (2024) - [i18]Lukas Einkemmer, Katharina Kormann, Jonas Kusch, Ryan G. McClarren, Jing-Mei Qiu:
A review of low-rank methods for time-dependent kinetic simulations. CoRR abs/2412.05912 (2024) - [i17]Alexander Jesser, Kai Krycki, Ryan G. McClarren, Martin Frank:
Numerical Robustness of PINNs for Multiscale Transport Equations. CoRR abs/2412.14683 (2024) - 2023
- [j28]Zhuogang Peng, Ryan G. McClarren:
A sweep-based low-rank method for the discrete ordinate transport equation. J. Comput. Phys. 473: 111748 (2023) - [i16]William Bennett, Ryan G. McClarren:
Benchmark solutions for radiative transfer with a moving mesh and exact uncollided source treatments. CoRR abs/2301.02596 (2023) - [i15]Minwoo Shin, Cory D. Hauck, Ryan G. McClarren:
A Collision-Based Hybrid Method for the BGK Equation. CoRR abs/2306.11244 (2023) - [i14]William Bennett, Ryan G. McClarren:
Uncertainty benchmarks for time-dependent transport problems. CoRR abs/2308.10852 (2023) - [i13]Johannes Krotz, Cory D. Hauck, Ryan G. McClarren:
A Hybrid Monte Carlo, Discontinuous Galerkin method for linear kinetic transport equations. CoRR abs/2312.04217 (2023) - 2022
- [j27]Graham W. Alldredge, Martin Frank, Jonas Kusch, Ryan G. McClarren:
A realizable filtered intrusive polynomial moment method. J. Comput. Appl. Math. 407: 114055 (2022) - [j26]Ryan G. McClarren, Terry S. Haut:
Data-driven acceleration of thermal radiation transfer calculations with the dynamic mode decomposition and a sequential singular value decomposition. J. Comput. Phys. 448: 110756 (2022) - [j25]Jonas Kusch, Benjamin Whewell, Ryan G. McClarren, Martin Frank:
A low-rank power iteration scheme for neutron transport criticality problems. J. Comput. Phys. 470: 111587 (2022) - [j24]Ryan G. McClarren, James A. Rossmanith, Minwoo Shin:
Semi-implicit Hybrid Discrete $\left( \text {H}^T_N\right) $ Approximation of Thermal Radiative Transfer. J. Sci. Comput. 90(1): 2 (2022) - [i12]Jonas Kusch, Benjamin Whewell, Ryan G. McClarren, Martin Frank:
A low-rank power iteration scheme for neutron transport criticality problems. CoRR abs/2201.12340 (2022) - [i11]Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird:
Transfer Learning of High-Fidelity Opacity Spectra in Autoencoders and Surrogate Models. CoRR abs/2203.00853 (2022) - [i10]Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird:
Transfer Learning as a Method to Reproduce High-Fidelity NLTE Opacities in Simulations. CoRR abs/2205.14520 (2022) - [i9]William Bennett, Ryan G. McClarren:
Benchmarks for infinite medium, time dependent transport problems with isotropic scattering. CoRR abs/2205.15783 (2022) - [i8]William Bennett, Ryan G. McClarren:
Accurate solutions to time dependent transport problems with a moving mesh and exact uncollided source treatment. CoRR abs/2206.13445 (2022) - 2021
- [j23]Charlie Latimer, József Kópházi, Matthew D. Eaton, Ryan G. McClarren:
Spatial adaptivity of the SAAF and Weighted Least Squares (WLS) forms of the neutron transport equation using constraint based, locally refined, isogeometric analysis (IGA) with dual weighted residual (DWR) error measures. J. Comput. Phys. 426: 109941 (2021) - [j22]Zhuogang Peng, Ryan G. McClarren:
A high-order/low-order (HOLO) algorithm for preserving conservation in time-dependent low-rank transport calculations. J. Comput. Phys. 447: 110672 (2021) - [i7]Ryan G. McClarren, James A. Rossmanith, Minwoo Shin:
Semi-implicit Hybrid Discrete (HTN) Approximation of Thermal Radiative Transfer. CoRR abs/2102.13021 (2021) - [i6]Graham W. Alldredge, Martin Frank, Jonas Kusch, Ryan G. McClarren:
A Realizable Filtered Intrusive Polynomial Moment Method. CoRR abs/2105.07473 (2021) - [i5]Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird:
Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements. CoRR abs/2106.02528 (2021) - 2020
- [j21]Jonas Kusch, Ryan G. McClarren, Martin Frank:
Filtered stochastic Galerkin methods for hyperbolic equations. J. Comput. Phys. 403 (2020) - [j20]Zhuogang Peng, Ryan G. McClarren, Martin Frank:
A low-rank method for two-dimensional time-dependent radiation transport calculations. J. Comput. Phys. 421: 109735 (2020) - [i4]Ryan G. McClarren, Nick A. Gentile:
Frequency-Dependent Material Motion Benchmarks for Radiative Transfer. CoRR abs/2009.01905 (2020)
2010 – 2019
- 2019
- [j19]Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren:
Parameter inference with deep jointly informed neural networks. Stat. Anal. Data Min. 12(6): 496-504 (2019) - [j18]Consuelo Fuenzalida, Carlos Jerez-Hanckes, Ryan G. McClarren:
Uncertainty Quantification for Multigroup Diffusion Equations Using Sparse Tensor Approximations. SIAM J. Sci. Comput. 41(3): B545-B575 (2019) - [j17]Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren:
Deep Neural Network Initialization With Decision Trees. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1286-1295 (2019) - 2018
- [i3]Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren:
Predicting the time-evolution of multi-physics systems with sequence-to-sequence models. CoRR abs/1811.05852 (2018) - [i2]Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren:
Transfer learning to model inertial confinement fusion experiments. CoRR abs/1812.06055 (2018) - 2017
- [j16]Avishek Chakraborty, Derek Bingham, Soma S. Dhavala, Carolyn C. Kuranz, R. Paul Drake, Michael J. Grosskopf, Erica M. Rutter, Ben R. Torralva, James Paul Holloway, Ryan G. McClarren, Bani K. Mallick:
Emulation of Numerical Models With Over-Specified Basis Functions. Technometrics 59(2): 153-164 (2017) - [i1]Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren:
Deep Jointly-Informed Neural Networks. CoRR abs/1707.00784 (2017) - 2016
- [j15]Weixiong Zheng, Ryan G. McClarren:
Moment closures based on minimizing the residual of the PN angular expansion in radiation transport. J. Comput. Phys. 314: 682-699 (2016) - [j14]Vincent M. Laboure, Ryan G. McClarren, Cory D. Hauck:
Implicit filtered PN for high-energy density thermal radiation transport using discontinuous Galerkin finite elements. J. Comput. Phys. 321: 624-643 (2016) - [j13]M. Paul Laiu, Cory D. Hauck, Ryan G. McClarren, Dianne P. O'Leary, André L. Tits:
Positive Filtered PN Moment Closures for Linear Kinetic Equations. SIAM J. Numer. Anal. 54(6): 3214-3238 (2016) - 2015
- [j12]Richard P. Smedley-Stevenson, Ryan G. McClarren:
Asymptotic diffusion limit of cell temperature discretisation schemes for thermal radiation transport. J. Comput. Phys. 286: 214-235 (2015) - 2013
- [j11]Michael Gold, Ryan G. McClarren, Conor Gaughan:
The Lessons Oscar Taught Us: Data Science and Media & Entertainment. Big Data 1(2): 105-109 (2013) - [j10]Cory D. Hauck, Ryan G. McClarren:
A Collision-Based Hybrid Method for Time-Dependent, Linear, Kinetic Transport Equations. Multiscale Model. Simul. 11(4): 1197-1227 (2013) - 2011
- [j9]James Paul Holloway, Derek Bingham, Chuan-Chih Chou, Forrest Doss, R. Paul Drake, Bruce Fryxell, Michael Grosskopf, Bart van der Holst, Bani K. Mallick, Ryan G. McClarren, Ashin Mukherjee, Vijay N. Nair, Kenneth G. Powell, Duchwan Ryu, Igor V. Sokolov, Gábor Tóth, Zhanyang Zhang:
Predictive modeling of a radiative shock system. Reliab. Eng. Syst. Saf. 96(9): 1184-1193 (2011) - [j8]Ryan G. McClarren, Duchwan Ryu, R. Paul Drake, Michael Grosskopf, Derek Bingham, Chuan-Chih Chou, Bruce Fryxell, Bart van der Holst, James Paul Holloway, Carolyn C. Kuranz, Bani K. Mallick, Erica Rutter, Ben R. Torralva:
A physics informed emulator for laser-driven radiating shock simulations. Reliab. Eng. Syst. Saf. 96(9): 1194-1207 (2011) - [j7]Hayes F. Stripling, Marvin L. Adams, Ryan G. McClarren, Bani K. Mallick:
The Method of Manufactured Universes for validating uncertainty quantification methods. Reliab. Eng. Syst. Saf. 96(9): 1242-1256 (2011) - 2010
- [j6]Ryan G. McClarren, Cory D. Hauck:
Robust and accurate filtered spherical harmonics expansions for radiative transfer. J. Comput. Phys. 229(16): 5597-5614 (2010) - [j5]Cory D. Hauck, Ryan G. McClarren:
Positive PN Closures. SIAM J. Sci. Comput. 32(5): 2603-2626 (2010)
2000 – 2009
- 2009
- [j4]Ryan G. McClarren, Todd J. Urbatsch:
A modified implicit Monte Carlo method for time-dependent radiative transfer with adaptive material coupling. J. Comput. Phys. 228(16): 5669-5686 (2009) - 2008
- [j3]Ryan G. McClarren, James Paul Holloway, Thomas A. Brunner:
On solutions to the Pn equations for thermal radiative transfer. J. Comput. Phys. 227(5): 2864-2885 (2008) - [j2]Ryan G. McClarren, Thomas M. Evans, Robert B. Lowrie, Jeffery D. Densmore:
Semi-implicit time integration for PN thermal radiative transfer. J. Comput. Phys. 227(16): 7561-7586 (2008) - [j1]Ryan G. McClarren, Robert B. Lowrie:
The effects of slope limiting on asymptotic-preserving numerical methods for hyperbolic conservation laws. J. Comput. Phys. 227(23): 9711-9726 (2008)
Coauthor Index
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