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DAFoam has the following features:\n\n- It uses a popular open-source package [OpenFOAM](https://www.openfoam.com) for multiphysics analysis.\n- It implements a [Jacobian-free discrete adjoint](https://www.sciencedirect.com/science/article/abs/pii/S0376042119300120) approach with competitive speed, scalability, and accuracy.\n- It has a convenient Python interface to couple with [OpenMDAO](https://openmdao.org) for multidisciplinary design optimization.\n\n![](cover.png)\n\nDocumentation\n-------------\n\nRefer to https://dafoam.github.io for installation, documentation, and tutorials.\n\nCitation\n--------\n\nPlease cite the following papers in any publication for which you find DAFoam useful. \n\n- 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\n\n- 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 \u0026 Fluids, 168:285-303, 2018. https://doi.org/10.1016/j.compfluid.2018.04.012\n\nLicense\n-------\n\nCopyright 2019 MDO Lab\n\nDistributed using the GNU General Public License (GPL), version 3; see the LICENSE file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmdolab%2Fdafoam","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmdolab%2Fdafoam","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmdolab%2Fdafoam/lists"}