Ryan G. McClarren

55 papers Journal 55

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Multi-fidelity Adaptive Dynamical Low-Rank Based Optimization Algorithm for Fission Criticality Problems. J. Sci. Comput. Carmela Scalone, Lukas Einkemmer, Jonas Kusch, Ryan G. McClarren
2025	J	`jnl`	A review of low-rank methods for time-dependent kinetic simulations. J. Comput. Phys. Lukas Einkemmer, Katharina Kormann, Jonas Kusch, Ryan G. McClarren, Jing-Mei Qiu
2025	J	`jnl`	Curvilinear coordinates and curvature in radiative transport. CoRR Johannes Krotz, Ryan G. McClarren
2025	J	`jnl`	Scatter-Limited Hybrid Monte Carlo, Deterministic Transport with Quasi-Monte Carlo Sampling. CoRR Johannes Krotz, Ryan G. McClarren
2025	J	`jnl`	Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty. CoRR Jichuan Tang, Patrick T. Brewick, Ryan G. McClarren, Christopher Sweet
2024	J	`jnl`	A collision-based hybrid method for the BGK equation. J. Comput. Phys. Minwoo Shin, Cory D. Hauck, Ryan G. McClarren
2024	J	`jnl`	A hybrid Monte Carlo, discontinuous Galerkin method for linear kinetic transport equations. J. Comput. Phys. Johannes Krotz, Cory D. Hauck, Ryan G. McClarren
2024	J	`jnl`	A review of low-rank methods for time-dependent kinetic simulations. CoRR Lukas Einkemmer, Katharina Kormann, Jonas Kusch, Ryan G. McClarren, Jing-Mei Qiu
2024	J	`jnl`	High Energy Density Radiative Transfer in the Diffusion Regime with Fourier Neural Operators. CoRR Joseph Farmer, Ethan Smith, William Bennett, Ryan G. McClarren
2024	J	`jnl`	Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development. J. Open Source Softw. 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
2024	J	`jnl`	Numerical Robustness of PINNs for Multiscale Transport Equations. CoRR Alexander Jesser, Kai Krycki, Ryan G. McClarren, Martin Frank
2023	J	`jnl`	A Collision-Based Hybrid Method for the BGK Equation. CoRR Minwoo Shin, Cory D. Hauck, Ryan G. McClarren
2023	J	`jnl`	A Hybrid Monte Carlo, Discontinuous Galerkin method for linear kinetic transport equations. CoRR Johannes Krotz, Cory D. Hauck, Ryan G. McClarren
2023	J	`jnl`	A sweep-based low-rank method for the discrete ordinate transport equation. J. Comput. Phys. Zhuogang Peng, Ryan G. McClarren
2023	J	`jnl`	Benchmark solutions for radiative transfer with a moving mesh and exact uncollided source treatments. CoRR William Bennett, Ryan G. McClarren
2023	J	`jnl`	Uncertainty benchmarks for time-dependent transport problems. CoRR William Bennett, Ryan G. McClarren
2022	J	`jnl`	A low-rank power iteration scheme for neutron transport criticality problems. CoRR Jonas Kusch, Benjamin Whewell, Ryan G. McClarren, Martin Frank
2022	J	`jnl`	A low-rank power iteration scheme for neutron transport criticality problems. J. Comput. Phys. Jonas Kusch, Benjamin Whewell, Ryan G. McClarren, Martin Frank
2022	J	`jnl`	A realizable filtered intrusive polynomial moment method. J. Comput. Appl. Math. Graham W. Alldredge, Martin Frank, Jonas Kusch, Ryan G. McClarren
2022	J	`jnl`	Accurate solutions to time dependent transport problems with a moving mesh and exact uncollided source treatment. CoRR William Bennett, Ryan G. McClarren
2022	J	`jnl`	Benchmarks for infinite medium, time dependent transport problems with isotropic scattering. CoRR William Bennett, Ryan G. McClarren
2022	J	`jnl`	Data-driven acceleration of thermal radiation transfer calculations with the dynamic mode decomposition and a sequential singular value decomposition. J. Comput. Phys. Ryan G. McClarren, Terry S. Haut
2022	J	`jnl`	Semi-implicit Hybrid Discrete $\left( \text {H}^T_N\right) $ Approximation of Thermal Radiative Transfer. J. Sci. Comput. Ryan G. McClarren, James A. Rossmanith, Minwoo Shin
2022	J	`jnl`	Transfer Learning as a Method to Reproduce High-Fidelity NLTE Opacities in Simulations. CoRR Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird
2022	J	`jnl`	Transfer Learning of High-Fidelity Opacity Spectra in Autoencoders and Surrogate Models. CoRR Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird
2021	J	`jnl`	A Realizable Filtered Intrusive Polynomial Moment Method. CoRR Graham W. Alldredge, Martin Frank, Jonas Kusch, Ryan G. McClarren
2021	J	`jnl`	A high-order/low-order (HOLO) algorithm for preserving conservation in time-dependent low-rank transport calculations. J. Comput. Phys. Zhuogang Peng, Ryan G. McClarren
2021	J	`jnl`	Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements. CoRR Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird
2021	J	`jnl`	Semi-implicit Hybrid Discrete (H CoRR Ryan G. McClarren, James A. Rossmanith, Minwoo Shin
2021	J	`jnl`	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. Charlie Latimer, József Kópházi, Matthew D. Eaton, Ryan G. McClarren
2020	J	`jnl`	A low-rank method for two-dimensional time-dependent radiation transport calculations. J. Comput. Phys. Zhuogang Peng, Ryan G. McClarren, Martin Frank
2020	J	`jnl`	Filtered stochastic Galerkin methods for hyperbolic equations. J. Comput. Phys. Jonas Kusch, Ryan G. McClarren, Martin Frank
2020	J	`jnl`	Frequency-Dependent Material Motion Benchmarks for Radiative Transfer. CoRR Ryan G. McClarren, Nick A. Gentile
2019	J	`jnl`	Deep Neural Network Initialization With Decision Trees. IEEE Trans. Neural Networks Learn. Syst. Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren
2019	J	`jnl`	Parameter inference with deep jointly informed neural networks. Stat. Anal. Data Min. Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren
2019	J	`jnl`	Uncertainty Quantification for Multigroup Diffusion Equations Using Sparse Tensor Approximations. SIAM J. Sci. Comput. Consuelo Fuenzalida, Carlos Jerez-Hanckes, Ryan G. McClarren
2018	J	`jnl`	Predicting the time-evolution of multi-physics systems with sequence-to-sequence models. CoRR Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren
2018	J	`jnl`	Transfer learning to model inertial confinement fusion experiments. CoRR Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren
2017	J	`jnl`	Deep Jointly-Informed Neural Networks. CoRR Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren
2017	J	`jnl`	Emulation of Numerical Models With Over-Specified Basis Functions. Technometrics 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
2016	J	`jnl`	Implicit filtered P J. Comput. Phys. Vincent M. Laboure, Ryan G. McClarren, Cory D. Hauck
2016	J	`jnl`	Moment closures based on minimizing the residual of the P J. Comput. Phys. Weixiong Zheng, Ryan G. McClarren
2016	J	`jnl`	Positive Filtered P SIAM J. Numer. Anal. M. Paul Laiu, Cory D. Hauck, Ryan G. McClarren, Dianne P. O'Leary, André L. Tits
2015	J	`jnl`	Asymptotic diffusion limit of cell temperature discretisation schemes for thermal radiation transport. J. Comput. Phys. Richard P. Smedley-Stevenson, Ryan G. McClarren
2013	J	`jnl`	A Collision-Based Hybrid Method for Time-Dependent, Linear, Kinetic Transport Equations. Multiscale Model. Simul. Cory D. Hauck, Ryan G. McClarren
2013	J	`jnl`	The Lessons Oscar Taught Us: Data Science and Media & Entertainment. Big Data Michael Gold, Ryan G. McClarren, Conor Gaughan
2011	J	`jnl`	A physics informed emulator for laser-driven radiating shock simulations. Reliab. Eng. Syst. Saf. 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
2011	J	`jnl`	Predictive modeling of a radiative shock system. Reliab. Eng. Syst. Saf. 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
2011	J	`jnl`	The Method of Manufactured Universes for validating uncertainty quantification methods. Reliab. Eng. Syst. Saf. Hayes F. Stripling, Marvin L. Adams, Ryan G. McClarren, Bani K. Mallick
2010	J	`jnl`	Positive P SIAM J. Sci. Comput. Cory D. Hauck, Ryan G. McClarren
2010	J	`jnl`	Robust and accurate filtered spherical harmonics expansions for radiative transfer. J. Comput. Phys. Ryan G. McClarren, Cory D. Hauck
2009	J	`jnl`	A modified implicit Monte Carlo method for time-dependent radiative transfer with adaptive material coupling. J. Comput. Phys. Ryan G. McClarren, Todd J. Urbatsch
2008	J	`jnl`	On solutions to the P J. Comput. Phys. Ryan G. McClarren, James Paul Holloway, Thomas A. Brunner
2008	J	`jnl`	Semi-implicit time integration for P J. Comput. Phys. Ryan G. McClarren, Thomas M. Evans, Robert B. Lowrie, Jeffery D. Densmore
2008	J	`jnl`	The effects of slope limiting on asymptotic-preserving numerical methods for hyperbolic conservation laws. J. Comput. Phys. Ryan G. McClarren, Robert B. Lowrie