Opportunity brief · SAM.gov special notice
Open Source Software: MOOSE: The Multiphysics Simulation Powerhouse
Energy, Department of · Energy, Department of · BATTELLE ENERGY ALLIANCE–DOE CNTR · NAICS 541511 Custom Computer Programming Services · Historically Underutilized Business (HUBZone) Set-Aside (FAR 19.13) set-aside · responses due 2028-03-15 · Open on SAM.gov ↗
- Posted
- 2024-10-31
- Place of work
- Idaho
- Product or service code
- R412 · Support- Professional: Simulation
Putting the brief together: the incumbent, who else wins this work, the contracting office and past prices…
From the notice
Open Source Software: MOOSE: The Multiphysics Simulation Powerhouse The demand for versatile, powerful simulation tools in scientific computing and engineering has never increased. Enter the Multiphysics Object-Oriented Simulation Environment (MOOSE), a state-of-the-art finite-element framework that promises to revolutionize how researchers and engineers approach multiphysics problems. Developed by the prestigious Idaho National Laboratory, MOOSE emerged from a need to tackle complex, real-world scientific challenges with precision and efficiency. Traditional simulation tools struggled with the nonlinear complexities inherent in multiphysics problems, leading to the development of MOOSE, which leverages advanced nonlinear solver technology to offer unmatched computational capabilities. MOOSE provides a high-level interface that simplifies the complexity of multiphysics simulations. Its core features include a fully-coupled, fully-implicit multiphysics solver, dimension-independent physics, automatic parallelization for large-scale simulations, and modular development for code reuse. With built-in mesh adaptivity and Continuous and Discontinuous Galerkin methods, MOOSE is designed to be both powerful and intuitive, ensuring researchers can focus on their work without getting bogged down by the intricacies of the simulation software. Advantages: Streamlined Multiphysics Simulation: Tackle complex problems with a fully coupled, implicit solver. Scalability: Effortlessly scales to over 100,000 CPU cores for large-scale computations.
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