DAFoam develops an efficient discrete adjoint method to perform high-fidelity multidisciplinary design optimization. DAFoam has the following features:

• It uses a popular open-source package OpenFOAM for multiphysics analysis.
• It implements a Jacobian-free discrete adjoint approach with competitive speed, scalability, and accuracy.
• It has a convenient Python interface to couple with OpenMDAO for multidisciplinary design optimization.

Refer to https://dafoam.github.io for installation, documentation, and tutorials.

Please cite the following papers in any publication for which you find DAFoam useful.

• Ping He, Charles A. Mader, Joaquim R.R.A. Martins, Kevin J. Maki. DAFoam: An open-source adjoint framework for multidisciplinary design optimization with OpenFOAM. AIAA Journal, 58:1304-1319, 2020. https://doi.org/10.2514/1.J058853

• Ping He, Charles A. Mader, Joaquim R.R.A. Martins, Kevin J. Maki. An aerodynamic design optimization framework using a discrete adjoint approach with OpenFOAM. Computer & Fluids, 168:285-303, 2018. https://doi.org/10.1016/j.compfluid.2018.04.012

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