using MOOSE, which bestows understanding ofeverything materials tohow chemicals simulation capabilitiesthat from how radiationaffects predicting thebehavior of migrate through bedrock simplify theprocess for Scientists canadvance The Energy of Innovation complex systems. • include been simulatedusingMOOSE models. INL modelsthathave from complexmathematical create computersimulations MOOSE makesiteasierto water physics and chemistry. effects on materials to ground tems ranging from irradiation the behavior of complex sys fies the process for predicting lation framework that simpli MOOSE, is a computer simu T for amyriad ofmodelsystems The platform simplifiesthecreationofsimulations Simulation Framework INL’s MOOSEComputer BISON, whichhasapplica designers; tions fornuclear reactor Environment, or Oriented Simulation he Multiphysics Object- NUCLEAR ENERGY - - - - - of-the-art simulation. science experts totacklestate- no longerhave tobecomputer experiments, andresearchers can helpinformreal-world insights. Suchsimulations simultaneously torevealnew or morerelatedmodels MOOSE canevenruntwo • • • FALCON, whichsimulates RAT, whichsimulates MARMOT, whichshows thermal reservoirs. water andheatflowingeo and flowing throughbedrock; chemicals reactingand nuclear fueltoirradiation; microscopic responseof

- is a time-consuming task task time-consuming a is simulations building But conditions. new under outcomes predicts that tion simula computer a perform to model that use then and behavior, material and tion radia about know already they what incorporating model mathematical a build can materials affects diation irra how studying engineers Nuclear science. of branches many in tools research indispensible become have simulation and Modeling models andsimulation Maximizing theoutputof Continued nextpage - - - NUCLEAR ENERGY

Continued from previous page single simulation. For example, In the future, MOOSE, MOOSE is able to run both BISON, MARMOT and a requiring a team of people BISON and MARMOT simul- herd of associated programs with detailed understanding taneously to create a simulation can enable materials scientists of everything from paral- that shows how microscopic to work hand-in-hand with lel code development to the radiation effects evolve into nuclear engineers to achieve physics of the system under fuel or cladding failures at the new insights far more quickly study. Most scientists are not macroscopic scale. than was possible in the past. programmers (and vice ver- sa), so tackling simulation often proved too daunting. Three screen shots from a BISON missing nuclear fuel pellet surface Now MOOSE can carry much simulation (credit: Richard Williamson), which can help inform nuclear energy industry safety margins by showing how a tiny fuel of the programming burden, pellet defect (top panel: middle pellet on left) could cause stress in For more information making simulation tools more the nearby cladding (bottom panel: center and upper right). accessible for a wide array of researchers. Plus, the MOOSE Communication Contact platform is a general problem Joseph Campbell solver that can accommodate (208) 526-7785 many mathematical models. [email protected] It essentially lets researchers “plug-and-play” by entering Technical Contact the mathematics describing Cody Permann their system — whether it’s (208) 526-8444 irradiation effects or ground- [email protected] water movement — and letting MOOSE execute the simulation.

A U.S. Department of Energy INL’s multiphysics methods National Laboratory group began developing the MOOSE framework by utilizing code and librar- ies from existing massively scaling numerical tools de- veloped elsewhere in the De- partment of Energy complex and academia. The result is a framework with a number of high-level features including a hybrid parallel mode and mesh adaptivity. Plus, researchers don’t have to access a supercomputer because MOOSE can also func- tion at personal workstations. New pairings, increased teamwork MOOSE is helping bring materials scientists and nuclear engineers closer by making it easy to merge their respective mathematical models into a

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