Litcius/Paper detail

4.0 MOOSE: Enabling massively parallel Multiphysics simulation

Logan Harbour, Guillaume Giudicelli, Alexander Lindsay, Péter German, Joshua Hansel, Casey Icenhour, Mengnan Li, Jason Miller, Roy H. Stogner, Patrick Behne, Daniel Yankura, Zachary M. Prince, Corey DeChant, Daniel Schwen, B.W. Spencer, Mauricio Tano, Namjae Choi, Yaqi Wang, Max Nezdyur, Yinbin Miao, Tianchen Hu, Shikhar Kumar, Christopher Matthews, Brandon Langley, Nuno Nobre, Alexander Blair, Chris MacMackin, H. da Rocha, Edward Palmer, Jesse Carter, Jörg Meier, Andrew E. Slaughter, David Andrš, Robert Carlsen, Fande Kong, Derek Gaston, Cody Permann

2025SoftwareX25 citationsDOIOpen Access PDF

Abstract

Approaching 18 years of existence, MOOSE—the Multiphysics Object-Oriented Simulation Environment—is being developed at a higher pace than ever before. With significant support from four research institutions across the globe, and dozens of new contributors, the capabilities of the framework are being expanded to meet modeling challenges in a wide variety of fields from nuclear system design, to geomechanics, to material science. This includes new development in equation discretization techniques, solver methods, meshing capabilities, application deployment, and user interface improvements. Applications built on MOOSE benefit from all these improvements.

Topics & Concepts

Massively parallelMultiphysicsComputer scienceComputational scienceParallel computingDistributed computingPhysicsThermodynamicsFinite element methodElectromagnetic Simulation and Numerical MethodsAdvanced Data Storage TechnologiesDistributed and Parallel Computing Systems