We develop and maintain open-source tools for data-driven simulation and scientific computing. Our software is freely available for private, academic, and educational use under the Apache 2.0 License, which permits free use, modification, and distribution, including for commercial purposes, provided that the license and copyright notices are retained. While we strive to ensure the quality and reliability of our software, it is provided "as is" without warranty of any kind. We welcome contributions, feedback, and collaboration from the community.
DAFI – Data Assimilation and Field Inversion
DAFI is an open-source framework for data assimilation and field inversion, using ensemble Kalman filters to infer physical fields from observations with built-in uncertainty quantification. It integrates seamlessly with OpenFOAM and supports a wide range of physics models through a flexible, object-oriented interface.
pehill-29
A DNS dataset of flows over periodic hills with parameterized geometry for data-driven turbulence modeling. Varied slope angles produce a family of flows spanning the full range from incipient through mild to massive separation.
sediFoam
SediFoam is a hybrid CFD—DEM solver for particle-laden flows based on two open-source codes: OpenFOAM, an object-oriented CFD platform by OpenCFD, and LAMMPS, a highly efficient molecular dynamics solver by Sandia National Laboratories. (The code is published for instruction purposes only. Development ceased as of 2018.)
hybridFoam
A dual-mesh hybrid LES/RANS solver in OpenFOAM. (The code is published for instruction purposes only. Development ceased as of 2014.)
Heng Xiao
Univ.-Prof. Dr.Professor for Data-Driven Simulation of Fluids on High-Performance Computers