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.
Date | Message |
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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 |
Date | Title |
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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 |
Examples ┊ Code documentation ┊ libROM Sources ┊ LaSDI Sources ┊ gLaSDI Sources
Building libROM ┊ Poisson equation ┊ Greedy 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.