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libROM is a free, lightweight, scalable C++ library for data-driven physical simulation methods. It is the main tool box that the reduced order modeling team at LLNL uses to develop efficient model order reduction techniques and physics-constrained data-driven methods. We try to collect any useful reduced order model routines, which are separable to the high-fidelity physics solvers, into libROM. Plus, libROM is open source, so anyone is welcome to suggest new ideas or contribute to the development. Let's work together for better data-driven technology!


Many more features will be available soon. Stay tuned!

libROM is used in many projects, including BLAST, ARDRA, Laghos, SU2, ALE3D and HyPar. Many MFEM-based ROM examples can be found in Examples.

See also our Gallery, Publications and News pages.

Recent News

Date Message
Aug 26, 2023 Siu Wun Cheung will present at ICIAM2023
Aug 26, 2023 Youngsoo Choi will present at ICIAM2023
Aug 10, 2023 GPLaSDI arXiv paper is available
Aug 8, 2023 pylibROM open source code is available in gitHub
July 30, 2023 GPLaSDI open source code is available in gitHub
June 22, 2023 Uncertainty-aware Barlow twins ROM paper is published in IEEE Access
June 21, 2023 gLaSDI paper is published in JCP
June 2, 2023 Time Windowing DMD preprint is available in arXiv
May 24, 2023 DD-NMROM preprint is available in arXiv
Mar 10, 2023 gLaSDI open source code is available in gitHub
Mar 6, 2023 LaSDI open source code is available in gitHub

libROM tutorials in YouTube

Date Title
July 22, 2021 Poisson equation & its finite element discretization
Sep. 1, 2021 Poisson equation & its reduced order model
Sep. 23, 2021 Physics-informed sampling procedure for reduced order models
Sep. 11, 2022 Local reduced order models and interpolation-based parameterization
Sep. 23, 2022 Projection-based reduced order model for nonlinear system

Latest Release

ExamplesCode documentationlibROM SourcesLaSDI SourcesgLaSDI Sources


Building libROMPoisson equationGreedy for Poisson

New users should start by examining the example codes and tutorials.

We also recommend using GLVis or VisIt for visualization.


Use the GitHub issue tracker to report bugs or post questions or comments. See the About page for citation information.