Publications

19 Results
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Simulating Radiation-Induced Shocks in Thermal Spray Coating Materials Could Help Protect Diagnostic Equipment at Pulsed Power Facilities

Jimmy Carleton, Theron Rodgers, Mikhail Mesh, Corbett C. Battaile, William M. Scherzinger, Jason James Sanchez, Dan Stefan Bolintineanu, Carianne Martinez, Donald Eugene Bruss, Aaron Jeffrey Olson, Brian C. Franke, Shawn D. Pautz, Nathan W. Moore

Marketing or Promotional – 2022 Marketing or Promotional 2022

Particle approach to inverse problems via gradient-based optimization

CIS Research Foundation External Review

Stephen D Bond, Brian C. Franke, Richard B. Lehoucq, Aaron Jeffrey Olson, John Darby Smith, Scott McKinley, Petr Plechac

Display or Poster (non-conference) – 2022 Display or Poster (non-conference) 2022

Deconvolution strategies for efficient parametric variance estimation in stochastic media transport problems

2022 ANS Annual Meeting

Gianluca Geraci, Aaron Jeffrey Olson

Conference Presentation – 2022 Conference Presentation 2022

Numerical Investigation on the Performance of a Variance Deconvolution Estimator

ANS Annual Meeting

Kayla Beth Clements, Gianluca Geraci, Aaron Jeffrey Olson

Conference Presentation – 2022 Conference Presentation 2022

Updates on Monte Carlo transport uncertainty quantification and sensitivity analysis methods at SNL

CEMeNT PSAAP Center TST Meeting

Aaron Jeffrey Olson, Gianluca Geraci, Richard B. Lehoucq

Presentation (non-conference) – 2022 Presentation (non-conference) 2022

Numerical Investigation on the Performance of a Variance Deconvolution Estimator

CEMeNT PSAAP Center TST Meeting

Kayla Beth Clements, Gianluca Geraci, Aaron Jeffrey Olson

Presentation (non-conference) – 2022 Presentation (non-conference) 2022

Numerical Investigation on the Performance of a Variance Deconvolution Estimator

2022 SIAM Conference on Uncertainty Quantification

Kayla Beth Clements, Gianluca Geraci, Aaron Jeffrey Olson

Conference Poster – 2022 Conference Poster 2022

Exploration of multifidelity UQ methods for Monte Carlo radiation applications in stochastic media

SIAM Conference on Uncertainty Quantification (2022)

Gianluca Geraci, Aaron Jeffrey Olson

Conference Presentation – 2022 Conference Presentation 2022

Deconvolution strategies for efficient parametric variance estimation in stochastic media transport problems

2022 ANS Annual Meeting

Gianluca Geraci, Aaron Jeffrey Olson

Conference Proceeding – 2022 Conference Proceeding 2022

Numerical Investigation on the Performance of a Variance Deconvolution Estimator

American Nuclear Society Annual Meeting

Kayla Beth Clements, Gianluca Geraci, Aaron Jeffrey Olson

Conference Paper – 2022 Conference Paper 2022

Exploration of Multifidelity UQ Methods for Monte Carlo Radiation Applications in Stochastic Media

SIAM Conference on Uncertainty Quantification (UQ22)

Gianluca Geraci, Aaron Jeffrey Olson

Abstract – 2021 Abstract 2021

A Variance Deconvolution Approach to Sampling Uncertainty Quantification for Monte Carlo Radiation Transport Solvers

SIAM Conference on Uncertainty Quantification

Kayla Beth Clements, Gianluca Geraci, Aaron Jeffrey Olson

Abstract – 2021 Abstract 2021

Impact of Sampling Strategies in the Polynomial Chaos Surrogate Construction for Monte Carlo Transport Applications

International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering

Gianluca Geraci, Aaron Jeffrey Olson

Conference Presentation – 2021 Conference Presentation 2021

Using Deep Neural Networks to Predict Material Types in Conditional Point Sampling Applied to Markovian Mixture Models

American Nuclear Society Mathematics & Computation (M&C) 2021

Warren Leon Davis IV, Aaron Jeffrey Olson, Gabriel ANUOLUWAPO Popoola, Dan Stefan Bolintineanu, Theron Rodgers, Emily Vu

Conference Presentation – 2021 Conference Presentation 2021

Fast Three Dimensional Rules-Based Simulation of Thermal Sprayed Microstructures

Computational Materials Science

Theron Rodgers, John A. Mitchell, Aaron Jeffrey Olson, Dan Stefan Bolintineanu, Andrew Vackel, Nathan W. Moore

https://www.osti.gov/search/identifier:1781556

Journal Article – 2021 Journal Article 2021

Using Deep Neural Networks to Predict Material Types in Conditional Point Sampling Applied to Markovian Mixture Models

The International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2021)

Warren Leon Davis IV, Aaron Jeffrey Olson, Gabriel ANUOLUWAPO Popoola, Dan Stefan Bolintineanu, Theron Rodgers, Emily Vu

https://www.osti.gov/search/identifier:1847481

Conference Paper – 2021 Conference Paper 2021

Impact of sampling strategies in the polynomial chaos surrogate construction for Monte Carlo transport applications

ANS M&C 2021

Gianluca Geraci, Aaron Jeffrey Olson

https://www.osti.gov/search/identifier:1842571

Conference Proceeding – 2021 Conference Proceeding 2021

Microstructural Simulation of Thermal Spray Coatings: Comparison with 3D

TMS 2019 Annual Meeting & Exhibition

Theron Rodgers, Aaron Jeffrey Olson, Warren Leon Davis, Andrew Vackel, Andrew Chuang, Reeju Pokharel, Don Brown, Bjrn Clausen, Timothy Ickes, Nathan W. Moore

https://www.osti.gov/search/identifier:1639466

Conference Paper – 2019 Conference Paper 2019

Microstructural Simulation of Thermal Spray Coatings: Comparison with 3D Characterization

TMS Annual Meeting & Exhibition

Theron Rodgers, Aaron Jeffrey Olson, Warren Leon Davis, Andrew Vackel, Reeju Pokharel, Don Brown, Bjrn Clausen, Timothy Ickes, Andrew Chuang, Nathan W. Moore

Abstract – 2018 Abstract 2018
Document Title Type Year