.. _citation: Citation ======== If you use ADflow, please cite the following paper: C. A. Mader, G. K. W. Kenway, A. Yildirim, and J. R. R. A. Martins. ADflow—an open-source compu- tational fluid dynamics solver for aerodynamic and multidisciplinary optimization. Journal of Aerospace Information Systems, 2020. `doi:10.2514/1.I010796 `__ .. code-block:: bibtex @article{Mader2020a, author = {Charles A. Mader and Gaetan K. W. Kenway and Anil Yildirim and Joaquim R. R. A. Martins}, doi = {10.2514/1.I010796}, journal = {Journal of Aerospace Information Systems}, title = {{ADflow}---An open-source computational fluid dynamics solver for aerodynamic and multidisciplinary optimization}, year = {2020} } If you use the **adjoint implementation** in ADflow, please cite: G. K. W. Kenway, C. A. Mader, P. He, and J. R. R. A. Martins. Effective adjoint approaches for computational fluid dynamics. Progress in Aerospace Sciences, 110:100542, October 2019. `doi:10.1016/j.paerosci.2019.05.002 `__ .. code-block:: bibtex @article{Kenway2019a, author = {Gaetan K. W. Kenway and Charles A. Mader and Ping He and Joaquim R. R. A. Martins}, date-modified = {2020-09-18 10:26:29 -0400}, doi = {10.1016/j.paerosci.2019.05.002}, journal = {Progress in Aerospace Sciences}, keywords = {xsede, data, open source}, month = {October}, pages = {100542}, title = {Effective Adjoint Approaches for Computational Fluid Dynamics}, volume = {110}, year = {2019} } If you use the **approximate Newton–Krylov (ANK) solver** in ADflow, please cite: A. Yildirim, G. K. W. Kenway, C. A. Mader, and J. R. R. A. Martins. A Jacobian-free approximate Newton– Krylov startup strategy for RANS simulations. Journal of Computational Physics, 397:108741, Nov. 2019. ISSN 0021-9991. `doi:10.1016/j.jcp.2019.06.018 `__ .. code-block:: bibtex @article{Yildirim2019b, author = {Anil Yildirim and Gaetan K. W. Kenway and Charles A. Mader and Joaquim R. R. A. Martins}, date-added = {2019-06-05 22:19:55 -0700}, date-modified = {2020-09-18 10:27:46 -0400}, doi = {10.1016/j.jcp.2019.06.018}, issn = {0021-9991}, journal = {Journal of Computational Physics}, keywords = {xsede}, month = nov, pages = {108741} }