Semi-implicit time integration for PN thermal radiative transfer. - Ryan G. McClarren; Thomas M. Evans 001; Robert B. Lowrie; Jeffery D. Densmore (J. Comput. Phys., 2008)

On solutions to the Pn equations for thermal radiative transfer. - Ryan G. McClarren; James Paul Holloway; Thomas A. Brunner (J. Comput. Phys., 2008)

The effects of slope limiting on asymptotic-preserving numerical methods for hyperbolic conservation laws. - Ryan G. McClarren; Robert B. Lowrie (J. Comput. Phys., 2008)

A modified implicit Monte Carlo method for time-dependent radiative transfer with adaptive material coupling. - Ryan G. McClarren; Todd J. Urbatsch (J. Comput. Phys., 2009)

Robust and accurate filtered spherical harmonics expansions for radiative transfer. - Ryan G. McClarren; Cory D. Hauck (J. Comput. Phys., 2010)

Positive PN Closures. - Cory D. Hauck; Ryan G. McClarren (SIAM J. Sci. Comput., 2010)

Predictive modeling of a radiative shock system. - 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; et al. (Reliab. Eng. Syst. Saf., 2011)

A physics informed emulator for laser-driven radiating shock simulations. - 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; et al. (Reliab. Eng. Syst. Saf., 2011)

The Method of Manufactured Universes for validating uncertainty quantification methods. - Hayes F. Stripling; Marvin L. Adams; Ryan G. McClarren; Bani K. Mallick (Reliab. Eng. Syst. Saf., 2011)

The Lessons Oscar Taught Us: Data Science and Media & Entertainment. - Michael Gold; Ryan G. McClarren; Conor Gaughan (Big Data, 2013)

A Collision-Based Hybrid Method for Time-Dependent, Linear, Kinetic Transport Equations. - Cory D. Hauck; Ryan G. McClarren (Multiscale Model. Simul., 2013)

Asymptotic diffusion limit of cell temperature discretisation schemes for thermal radiation transport. - Richard P. Smedley-Stevenson; Ryan G. McClarren (J. Comput. Phys., 2015)

Implicit filtered PN for high-energy density thermal radiation transport using discontinuous Galerkin finite elements. - Vincent M. Laboure; Ryan G. McClarren; Cory D. Hauck (J. Comput. Phys., 2016)

Moment closures based on minimizing the residual of the PN angular expansion in radiation transport. - Weixiong Zheng; Ryan G. McClarren (J. Comput. Phys., 2016)

Positive Filtered PN Moment Closures for Linear Kinetic Equations. - M. Paul Laiu; Cory D. Hauck; Ryan G. McClarren; Dianne P. O'Leary; André L. Tits (SIAM J. Numer. Anal., 2016)

Deep Jointly-Informed Neural Networks. - Kelli D. Humbird; J. Luc Peterson; Ryan G. McClarren (CoRR, 2017)

Emulation of Numerical Models With Over-Specified Basis Functions. - 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 (Technometrics, 2017)

Predicting the time-evolution of multi-physics systems with sequence-to-sequence models. - Kelli D. Humbird; J. Luc Peterson; Ryan G. McClarren (CoRR, 2018)

Transfer learning to model inertial confinement fusion experiments. - Kelli D. Humbird; J. Luc Peterson; Ryan G. McClarren (CoRR, 2018)

Parameter inference with deep jointly informed neural networks. - Kelli D. Humbird; J. Luc Peterson; Ryan G. McClarren (Stat. Anal. Data Min., 2019)

Uncertainty Quantification for Multigroup Diffusion Equations Using Sparse Tensor Approximations. - Consuelo Fuenzalida; Carlos Jerez-Hanckes; Ryan G. McClarren (SIAM J. Sci. Comput., 2019)

Deep Neural Network Initialization With Decision Trees. - Kelli D. Humbird; J. Luc Peterson; Ryan G. McClarren (IEEE Trans. Neural Networks Learn. Syst., 2019)

Frequency-Dependent Material Motion Benchmarks for Radiative Transfer. - Ryan G. McClarren; Nick A. Gentile (CoRR, 2020)

Filtered stochastic Galerkin methods for hyperbolic equations. - Jonas Kusch; Ryan G. McClarren; Martin Frank (J. Comput. Phys., 2020)

A low-rank method for two-dimensional time-dependent radiation transport calculations. - Zhuogang Peng; Ryan G. McClarren; Martin Frank (J. Comput. Phys., 2020)

Semi-implicit Hybrid Discrete (HTN) Approximation of Thermal Radiative Transfer. - Ryan G. McClarren; James A. Rossmanith; Minwoo Shin (CoRR, 2021)

Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements. - Michael D. Vander Wal; Ryan G. McClarren; Kelli D. Humbird (CoRR, 2021)

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. - Charlie Latimer; József Kópházi; Matthew D. Eaton; Ryan G. McClarren (J. Comput. Phys., 2021)

A high-order/low-order (HOLO) algorithm for preserving conservation in time-dependent low-rank transport calculations. - Zhuogang Peng; Ryan G. McClarren (J. Comput. Phys., 2021)

Transfer Learning of High-Fidelity Opacity Spectra in Autoencoders and Surrogate Models. - Michael D. Vander Wal; Ryan G. McClarren; Kelli D. Humbird (CoRR, 2022)

Transfer Learning as a Method to Reproduce High-Fidelity NLTE Opacities in Simulations. - Michael D. Vander Wal; Ryan G. McClarren; Kelli D. Humbird (CoRR, 2022)

Benchmarks for infinite medium, time dependent transport problems with isotropic scattering. - William Bennett; Ryan G. McClarren (CoRR, 2022)

Accurate solutions to time dependent transport problems with a moving mesh and exact uncollided source treatment. - William Bennett; Ryan G. McClarren (CoRR, 2022)

A realizable filtered intrusive polynomial moment method. - Graham W. Alldredge; Martin Frank; Jonas Kusch; Ryan G. McClarren (J. Comput. Appl. Math., 2022)

A low-rank power iteration scheme for neutron transport criticality problems. - Jonas Kusch; Benjamin Whewell; Ryan G. McClarren; Martin Frank (J. Comput. Phys., 2022)

Data-driven acceleration of thermal radiation transfer calculations with the dynamic mode decomposition and a sequential singular value decomposition. - Ryan G. McClarren; Terry S. Haut (J. Comput. Phys., 2022)

Semi-implicit Hybrid Discrete $ left( text {H}^T_N right) $ Approximation of Thermal Radiative Transfer. - Ryan G. McClarren; James A. Rossmanith; Minwoo Shin (J. Sci. Comput., 2022)

Benchmark solutions for radiative transfer with a moving mesh and exact uncollided source treatments. - William Bennett; Ryan G. McClarren (CoRR, 2023)

Uncertainty benchmarks for time-dependent transport problems. - William Bennett; Ryan G. McClarren (CoRR, 2023)

A sweep-based low-rank method for the discrete ordinate transport equation. - Zhuogang Peng; Ryan G. McClarren (J. Comput. Phys., 2023)

High Energy Density Radiative Transfer in the Diffusion Regime with Fourier Neural Operators. - Joseph Farmer; Ethan Smith; William Bennett; Ryan G. McClarren (CoRR, 2024)

Numerical Robustness of PINNs for Multiscale Transport Equations. - Alexander Jesser; Kai Krycki; Ryan G. McClarren; Martin Frank (CoRR, 2024)

A hybrid Monte Carlo, discontinuous Galerkin method for linear kinetic transport equations. - Johannes Krotz; Cory D. Hauck; Ryan G. McClarren (J. Comput. Phys., 2024)

A collision-based hybrid method for the BGK equation. - Minwoo Shin; Cory D. Hauck; Ryan G. McClarren (J. Comput. Phys., 2024)

Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development. - 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; et al. (J. Open Source Softw., 2024)

A review of low-rank methods for time-dependent kinetic simulations. - Lukas Einkemmer; Katharina Kormann; Jonas Kusch; Ryan G. McClarren; Jing-Mei Qiu (J. Comput. Phys., 2025)

Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty. - Jichuan Tang; Patrick T. Brewick; Ryan G. McClarren; Christopher Sweet (CoRR, 2025)

A Multi-fidelity Adaptive Dynamical Low-Rank Based Optimization Algorithm for Fission Criticality Problems. - Carmela Scalone; Lukas Einkemmer; Jonas Kusch; Ryan G. McClarren (J. Sci. Comput., 2025)