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Advancing Understanding of Fission Gas Behavior in Nuclear Fuel through Leadership Class Computing

Project Summary

The objective of this project is to develop high-performance simulation tools capable of predicting fission gas bubble evolution in nuclear fuel, and to demonstrate a Scientific Discovery through Advanced Computing (SciDAC) partnership project between the Department of Energy (DOE) Office of Advanced Scientific Computing Research (ASCR) and the Office of Nuclear Energy (NE). Deployment of such tools will require the utilization of high performance computing resources and the development of a leadership-class computational code capable of spanning the multiple length and time scales needed to address the complex physical and computational challenges associated with accurately modeling nuclear fuel.

This pilot project has a duration of 18 months (2016-08-15/2018-02-14).


 InstitutionPrincipal InvestigatorAdditional Participants

Barry Smith (

Shashi Aithal

INLGiovanni Pastore ( 
LANLBlas Uberuaga ( Andersson, Li-Ta "Ollie" Lo, Danny Perez, Wathsala Widanagamaachchi
ORNLDavid E. Bernholdt (

James Kress, David Pugmire, Philip C. Roth

Alumni: Valmor F. de Almeida, Ozgur Cekmer

PNNLRick Kurtz ( Roche, Wahyu Setyawan
U Tennessee - Knoxville*Brian D. Wirth* (

Sophie Blondel, Bamin Khomami, Aaron Kohnert, Bo Zhang

* Lead Institution and Lead Principal Investigator


This project is supported by the U. S. Department of Energy (DOE), Office of Nuclear Energy (NE) and Office of Science (SC), Office of Advanced Scientific Computing Research (ASCR) through the Scientific Discovery through Advanced Computing (SciDAC) program.

External Advisory Committee

NameInstitutionKey Programs Represented
Steven L. HayesINLNuclear Energy Advanced Modeling and Simulation (NEAMS)
Fuel Cycle R&D
Chris StanekLANLNuclear Energy Advanced Modeling and Simulation (NEAMS)

Key Partners

Program or SponsorProjectProject Point(s) of ContactPartner Point(s) of Contact
SciDAC InstitutesFASTMath – Frameworks, Algorithms, and Scalable Technologies for MathematicsBarry Smith (ANL) 
 SUPER – Institute for Sustained Performance, Energy and ResiliencePhil Roth (ORNL) 
 SDAV—Scalable Data Management, Analysis and VisualizationOllie Lo (LANL), David Pugmire (ORNL) 
DOE Office of Nuclear EnergyNuclear Energy Advanced Modeling and Simulation (NEAMS) Steven L. Hayes (INL), Chris Stanek (LANL)
DOE Office of Nuclear EnergyFuel Cycle R&D  (ORNL)

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