SoftwareX (Sep 2025)

4.0 MOOSE: Enabling massively parallel Multiphysics simulation

  • Logan Harbour,
  • Guillaume Giudicelli,
  • Alexander D. Lindsay,
  • Peter German,
  • Joshua Hansel,
  • Casey Icenhour,
  • Mengnan Li,
  • Jason M. Miller,
  • Roy H. Stogner,
  • Patrick Behne,
  • Daniel Yankura,
  • Zachary M. Prince,
  • Corey DeChant,
  • Daniel Schwen,
  • Benjamin 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,
  • Henrique Bergallo Rocha,
  • Edward Palmer,
  • Jesse Carter,
  • Jörg Meier,
  • Andrew E. Slaughter,
  • David Andrš,
  • Robert W. Carlsen,
  • Fande Kong,
  • Derek R. Gaston,
  • Cody J. Permann

DOI
https://doi.org/10.1016/j.softx.2025.102264
Journal volume & issue
Vol. 31
p. 102264

Abstract

Read online

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.

Keywords