Ryan G. McClarren

发表

Emulation of Numerical Models with Over-specified Basis Functions ∗

Bani K. Mallick, Avishek Chakraborty, Derek Bingham, 2014 .

Deep Jointly-Informed Neural Networks pdf

Ryan G. McClarren, Kelli D. Humbird, Jayson Luc Peterson, 2017, ArXiv.

Positive Filtered PN Moment Closures for Linear Kinetic Equations

Dianne P. O'Leary, Ryan G. McClarren, Cory D. Hauck, 2016, SIAM J. Numer. Anal..

Uncertainty Quantification and Predictive Computational Science: A Foundation for Physical Scientists and Engineers

Ryan G. McClarren, R. McClarren, 2018 .

Predicting the time-evolution of multi-physics systems with sequence-to-sequence models pdf

Ryan G. McClarren, Kelli D. Humbird, Jayson Luc Peterson, 2018, ArXiv.

Parameter inference and model calibration with deep jointly-informed neural networks

Jay D. Salmonson, J. M. Koning, J. L. Peterson, 2018 .

A high-order/low-order (HOLO) algorithm for preserving conservation in time-dependent low-rank transport calculations

Ryan G. McClarren, Zhuogang Peng, R. McClarren, 2020, J. Comput. Phys..

Positive PN Closures

Ryan G. McClarren, Cory D. Hauck, 2010, SIAM J. Sci. Comput..

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

Ryan G. McClarren, Matthew D. Eaton, C. Latimer, 2020, J. Comput. Phys..

Filtered stochastic Galerkin methods for hyperbolic equations

Martin Frank, Ryan G. McClarren, Jonas Kusch, 2018, J. Comput. Phys..

Moment closures based on minimizing the residual of the PN angular expansion in radiation transport

Ryan G. McClarren, Weixiong Zheng, 2016, J. Comput. Phys..

Chapter 3 – Functions, Scoping, Recursion, and Other Miscellany

Ryan G. McClarren, 2018 .

Introduction to Uncertainty Quantification and Predictive Science

Ryan G. McClarren, R. McClarren, 2018 .

Using deep neural networks to augment NIF post-shot analysis

Jim Gaffney, Ryan G. McClarren, Michael Kruse, 2017 .

Parameter inference with deep jointly informed neural networks

Ryan G. McClarren, Kelli D. Humbird, J. Luc Peterson, 2019, Stat. Anal. Data Min..

A calibration and data assimilation method using the Bayesian MARS emulator

Erica M. Rutter, Ryan G. McClarren, Michael Grosskopf, 2013 .

Asymptotic diffusion limit of cell temperature discretisation schemes for thermal radiation transport

Ryan G. McClarren, Richard P. Smedley-Stevenson, 2015, J. Comput. Phys..

Chapter 1 – Getting Started in Python

Ryan G. McClarren, 2018 .

The effects of slope limiting on asymptotic-preserving numerical methods for hyperbolic conservation laws

Ryan G. McClarren, Robert B. Lowrie, R. Lowrie, 2008, J. Comput. Phys..

Epistemic Uncertainties: Dealing with a Lack of Knowledge

Ryan G. McClarren, 2018 .

The Rad Hydro for Roadrunner Code Project

Ryan G. McClarren, B. Bergen, John Wohlbier, 2008 .

Advances in radiation modeling in ALEGRA :a final report for LDRD-67120, efficient implicit mulitgroup radiation calculations.

James Paul Holloway, Ryan G. McClarren, Thomas Alan Mehlhorn, 2005 .

Uncertainty Quantification for Multigroup Diffusion Equations Using Sparse Tensor Approximations

Ryan G. McClarren, Carlos Jerez-Hanckes, Consuelo Fuenzalida, 2019, SIAM J. Sci. Comput..

Dictionaries and Functions as Arguments

Ryan G. McClarren, 2018 .

Reliability Methods for Estimating the Probability of Failure

Ryan G. McClarren, 2018 .

Frequency-Dependent Material Motion Benchmarks for Radiative Transfer pdf

Ryan G. McClarren, N. A. Gentile, 2020, ArXiv.

Linear regression and sensitivity analysis in nuclear reactor design

Ryan G. McClarren, Pavel V. Tsvetkov, Akansha Kumar, 2015 .

Robust and accurate filtered spherical harmonics expansions for radiative transfer

Ryan G. McClarren, Cory D. Hauck, C. Hauck, 2010, J. Comput. Phys..

The Method of Manufactured Universes for validating uncertainty quantification methods

Bani K. Mallick, Ryan G. McClarren, Marvin L. Adams, 2011, Reliab. Eng. Syst. Saf..

A Compressed Sensing Framework for Monte Carlo Transport Simulations Using Random Disjoint Tallies

Ryan G. McClarren, Pablo A. Vaquer, Yuriy J. Ayzman, 2016 .

Semi-implicit time integration for PN thermal radiative transfer

Ryan G. McClarren, Thomas M. Evans, Robert B. Lowrie, 2008, J. Comput. Phys..

On solutions to the Pn equations for thermal radiative transfer

James Paul Holloway, Ryan G. McClarren, Thomas A. Brunner, 2008, J. Comput. Phys..

Predictive modeling of a radiative shock system

Bani K. Mallick, R. Paul Drake, James Paul Holloway, 2011, Reliab. Eng. Syst. Saf..

A modified implicit Monte Carlo method for time-dependent radiative transfer with adaptive material coupling

Ryan G. McClarren, Todd J. Urbatsch, R. McClarren, 2009, J. Comput. Phys..

Implicit filtered PN for high-energy density thermal radiation transport using discontinuous Galerkin finite elements

Ryan G. McClarren, Cory D. Hauck, Vincent M. Laboure, 2016, J. Comput. Phys..

A Collision-Based Hybrid Method for Time-Dependent, Linear, Kinetic Transport Equations

Ryan G. McClarren, Cory D. Hauck, C. Hauck, 2013, Multiscale Model. Simul..

A physics informed emulator for laser-driven radiating shock simulations

Bani K. Mallick, Derek Bingham, Carolyn C. Kuranz, 2011, Reliab. Eng. Syst. Saf..

An accelerated approach to inline non-LTE modeling

Ryan G. McClarren, Wesley Even, Daniel Holladay, 2020 .

Chapter 4 – NumPy and Matplotlib

Ryan G. McClarren, 2018 .

Chapter 6 – Testing and Debugging

Ryan G. McClarren, 2018 .

Predictive Models Informed by Simulation, Measurement, and Surrogates

Ryan G. McClarren, 2018 .

CALIBRATION OF UNCERTAIN INPUTS TO COMPUTER MODELS USING EXPERIMENTALLY MEASURED QUANTITIES AND THE BMARS EMULATOR

Erica M. Rutter, Ryan G. McClarren, C. C. Kuranz, 2011 .

Neural network forward model and transfer learning calibration from Monte Carlo to diffuse reflectance spectroscopy

Ryan G. McClarren, Karthik Vishwanath, Qing Lan, 2021, BiOS.

Linear Models for Regression and Classification

Ryan G. McClarren, 2021, Machine Learning for Engineers.

Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements pdf

Ryan G. McClarren, Kelli D. Humbird, Michael D. Vander Wal, 2021, Machine Learning with Applications.

Decision Trees and Random Forests for Regression and Classification

Ryan G. McClarren, R. McClarren, 2021, Machine Learning for Engineers.

Finding Structure Within a Data Set: Data Reduction and Clustering

Ryan G. McClarren, 2021, Machine Learning for Engineers.

Feed-Forward Neural Networks

Ryan G. McClarren, 2021, Machine Learning for Engineers.

Reinforcement Learning with Policy Gradients

Ryan G. McClarren, 2021, Machine Learning for Engineers.

Semi-implicit Hybrid Discrete (HTN) Approximation of Thermal Radiative Transfer pdf

Ryan G. McClarren, James A. Rossmanith, Minwoo Shin, 2021, ArXiv.

Semi-implicit Hybrid Discrete $\left( \text {H}^T_N\right) $ Approximation of Thermal Radiative Transfer

Ryan G. McClarren, James A. Rossmanith, Minwoo Shin, 2021, J. Sci. Comput..

Machine Learning for Engineers: Using data to solve problems for physical systems

Ryan G. McClarren, 2021 .

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, R. McClarren, 2020, J. Comput. Phys..

Spherical harmonics methods for thermal radiation transport

Ryan G. McClarren, R. McClarren, 2007 .

Positive P N Closures.

Ryan G. McClarren, Cory D. Hauck, 2010 .

Gauss Quadrature and Multi-dimensional Integrals

Ryan G. McClarren, 2018 .

Implicit Riemann solvers for the Pn equations

Ryan G. McClarren, Thomas Alan Mehlhorn, James Paul Holloway, 2006 .

A Quasilinear Implicit Riemann Solver for the Time-Dependent Pn Equations

Ryan G. McClarren, Thomas Alan Mehlhorn, James Paul Holloway, 2007 .

An Accurate Globally Conservative Subdomain Discontinuous Least-Squares Scheme for Solving Neutron Transport Problems

Ryan G. McClarren, Jim E. Morel, Weixiong Zheng, 2016 .

Globally Conservative, Hybrid Self-Adjoint Angular Flux and Least-Squares Method Compatible with Voids

Ryan G. McClarren, Vincent M. Laboure, Yaqi Wang, 2016, 1605.05388.

Simulating Radiative Transfer with Filtered Spherical Harmonics

Ryan G. McClarren, Cory D. Hauck, 2010 .

Analytic P1 solutions for time-dependent, thermal radiative transfer in several geometries

Ryan G. McClarren, James Paul Holloway, Thomas A. Brunner, 2008 .

A low-rank method for time-dependent transport calculations

Ryan G. McClarren, Zhuogang Peng, Martin Frank, 2019 .

Anti-diffusive radiation flow in the cooling layer of a radiating shock

Ryan G. McClarren, R. P. Drake, R. McClarren, 2010 .

Mathematical and Numerical Validation of the Simplified Spherical Harmonics Approach for Time-Dependent Anisotropic-Scattering Transport Problems in Homogeneous Media

Ryan G. McClarren, Can Pu, 2017 .

Manufactured solutions for the P1 radiation-hydrodynamics equations

Ryan G. McClarren, Robert B. Lowrie, R. Lowrie, 2008 .

An upwind spherical harmonics method for thermal radiation transfer

Ryan G. McClarren, James Paul Holloway, Thomas A. Brunner, 2006 .

Stability of explicit radiation-material coupling in radiative transfer calculations

Ryan G. McClarren, Jim E. Morel, 2011 .

Semi-implicit time integration for the Pn equations, invited

Ryan G. McClarren, Robert B. Lowrie, Thomas M. Evans, 2007 .

A Quasi-Linear Implementation of High-Resolution Time Integration for the Pn Equations

Ryan G. McClarren, James Paul Holloway, J. Holloway, 2008 .

Moment Analysis of Angular APproximation Methods for Time-Dependent Radiation Transport

Ryan G. McClarren, Jeffery D. Densmore, 2010 .

Theoretical Aspects of the Simplified Pn Equations

Ryan G. McClarren, 2010 .

Establishing an Asymptotic Diffusion Limit for Riemann Solvers on the Time-Dependent Pn Equations.

Ryan G. McClarren, James Paul Holloway, Thomas A. Brunner, 2005 .

FILTERED SPHERICAL HARMONICS METHODS FOR TRANSPORT PROBLEMS

Ryan G. McClarren, Cory D. Hauck, Robert B. Lowrie, 2009 .

Radiative effects in radiative shocks in shock tubes

Nancy M. Amato, Lawrence Rauchwerger, Bani K. Mallick, 2011 .