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Ian Halvic

Texas A&M University

  • Texas A&M University

SCHOLARLY PAPERS

2

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129

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0

Scholarly Papers (2)

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1.

Moose Stochastic Tools: A Module for Performing Parallel, Memory-Efficient in Situ Stochastic Simulations

Number of pages: 14 Posted: 29 Mar 2022
Zachary Merritt Prince, Andrew E. Slaughter, Peter German, Ian Halvic, Wen Jiang, Benjamin Spencer, Somayajulu Dhulipala and Derek Gaston
Government of the United States of America - Idaho National Laboratory, Government of the United States of America - Idaho National Laboratory, Government of the United States of America - Idaho National Laboratory, Texas A&M University, Government of the United States of America - Idaho National Laboratory, Government of the United States of America - Idaho National Laboratory, Government of the United States of America - Idaho National Laboratory and Government of the United States of America - Idaho National Laboratory
Downloads 70 (875,328)

Abstract:

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Stochastic, Parallel, Multiphysics, MOOSE

2.

Non-Intrusive Reduced-Order Modeling of Radiation Transport in the Atmosphere

Number of pages: 53 Posted: 28 Dec 2022
Ian Halvic, Dominic Caron, Ian Aranda and Jean Ragusa
Texas A&M University, Texas A&M University, Texas A&M University and Texas A&M University
Downloads 59 (970,490)

Abstract:

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radiation transport, model-order reduction, reduced-order model, Gaussian process regression, radiation effects in atmosphere