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SU2 Contact

SU2 User's Mailing List

Users are encouraged to join the SU2 user's email list. This list will be used to communicate important information such as new releases and bug fixes. It will be used only for forwarding information: the ability to reply or post to the list is disabled for non-developers. If you have comments, requests, or questions for the developers, please see the next section. To join, follow the link below, enter your email address, and follow the directions for confirmation. Your email address will not be shared or used for anything except email communication from the development team.

Get Involved with SU2

The SU2 community continues to grow rapidly, and together, we are making a measurable, worldwide impact on CFD. Now it's time to tap into our collective expertise, creativity, and coding skills to take SU2 to the next level.

Developers interested in getting involved should check the list of open contributions that are ripe for implementation!

SU2 Forum at CFD Online and GitHub

Users and outside developers of SU2 who have questions not addressed in the User's Guide, Developer's Guide, or FAQs pages, please post the question in the CFD online forum.

If you find an error in SU2 or would like to submit a feature request, please use the issue tracker on the SU2 GitHub page at:

SU2 Development Team (Stanford University)

SU2 Team

Juan J. Alonso

Associate Professor in the Aero/Astro department
Aerospace Design Laboratory (ADL) Director
Supervision of the overall SU2 project

The work in our group is focused on research and development of new high-fidelity, multidisciplinary methods and techniques for the analysis and design of complex aerospace systems. The focus is on the development of the methods and their use in realistic test cases in order to assess their value. In the past, our research has involved transonic, supersonic, and hypersonic aircraft, helicopters, turbomachinery, and launch and re-entry vehicles.

Francisco Palacios

Engineering Research Associate in the Aero/Astro department
Lead Developer

The aim of my research is to develop a new paradigm of multi-disciplinary simulation and design that enables realizable eco-efficient aircraft. This change will be based in the development of complex multidisciplinary modeling techniques, superior algorithms (for simulation and design), and computational methods capable of real-time simulation. The envisioned breakthroughs in complex modeling and numerical methods will lead to a much more efficient design process, allowing for the full simulation of flight in real time, and the complete multidisciplinary design of advanced aircraft through the integration of design techniques based on control theory.

Michael R. Colonno

Engineering Research Associate in the Aero/Astro department

My research interests with SU2 surround supersonic aircraft, green aviation, launch vehicles, and rotorcraft. Recently, SU2 has added a time-accurate adjoint formulation to its repertoire. This has enabled adjoint sensitivities to be used when optimizing systems for which the figure of merit is not constant, including rotorcraft applications in forward flight and launch vehicles for which the free stream conditions are rapidly changing. Supersonic aircraft and green aviation applications require detailed aerodynamic shape optimization with constraints to maximize performance. Currently we are streamlining SU2 and improving file i/o for parallel solutions in addition to adding CGNS and Tecplot binary output file capability. In addition, we are working to complete time-accurate farfield boundary conditions and developing a time-spectral solution capability for rotorcraft applications.

Aniket C. Aranake

Ph.D. Candidate in the Aero/Astro department

I've worked on implementing and validating the axisymmetric terms for the incompressible Navier-Stokes equations, and I have also contributed to the documentation, tutorials and the regression test strategy. Currently, I am working on implementing a three-equation turbulence model which can capture free transition. This correlation based model, known as SA-γ-REθ, augments the Spalart-Allmaras turbulence model with two additional transport equations. I have previously shown in other work that this model captures the effects of transitional flow on wind turbine blades very well, and it will be a very useful addition to the SU2 suite.

Sean R. Copeland

Ph.D. Candidate in the Aero/Astro department

My contributions to the SU2 software suite are in the multi-species plasma solver, particularly in the N2, O2, 5 and 7 species Air gas chemistry models. These gas chemistry models allow for the excitation of vibrational energy states within polyatomic molecules. As a consequence, a re-definition of the energy equation, and the inclusion of additional convection equations for vibrational energy of each polyatomic species is necessary. To account for the exchange of mass, momentum, energy, and vibrational energy between constituents of the multi-species flow many additional source terms are required, and much of his current and future work focuses on properly representing the physical phenomena of these molecular interactions in the SU2 solver. My medium-term research goals include an implementation of the adjoint solver for the plasma equations, enabling goal-oriented mesh adaptation and error estimation, and the inclusion of a sub-grid scale molecular dynamics solver to perform multi-scale simulations of these flows and a direct simulation of the molecular interactions in the regions of highest nonequilibrium.

Thomas D. Economon

Ph.D. Candidate in the Aero/Astro department

My developmental focus includes both important general purpose structures in SU2 (i.e. multi-zone capabilities, I/O subroutines including support for the CGNS format, and restart file handling), as well as research-driven contributions. My research goals involving aerodynamic design in rotating and unsteady flows have required the development/implementation of: • The rotating frame formulation (direct and adjoint solver). • The unsteady solver (direct and adjoint) with dynamic meshes. • Aeroacoustic direct and adjoint solver. • New boundary conditions (periodic and characteristic-based inlet and outlet BCs for both the direct and adjoint problems). Currently, Iím developing a sliding mesh capability, making improvements in the MPI implementation, and developing adjoint boundary conditions for flow control (characteristic-based).

Heather Kline

Ph.D. Candidate in the Aero/Astro department

My research is in the multidisciplinary optimization under uncertainty of hypersonic airbreathing propulsion for access to space. I use SU2 for simulation and optimization of inlet shapes. My contributions to SU2 so far have been in helping to maintain the tutorials and webpage, and I plan on contributing to the development of additional objective functions and implementation of adjoints.

David E. Manosalvas

Ph.D. Candidate in the Aero/Astro department

I am going to be working in the implementation and development of hybrid RANS/LES turbulence models which include DES97 and the hybrid SST. The final goal is to improve the capabilities of SU2 for the simulation of highly separated flows, such as the ones found in the turbulent wakes of bluff bodies. In addition, I will be implementing new boundary conditions suited for the simulation of active flow control methods which include Coanda and synthetic jets.

Kedar R. Naik

Ph.D. Candidate in the Aero/Astro department

My contributions to SU2 are primarily concerned with implementing the time-spectral method for both the direct-flow and adjoint equations. By imposing a Fourier basis, the time-spectral method can efficiently solve periodic, unsteady problems. In order to recover sensitivity information for aerodynamic design and optimization, SU2 solves the adjoint problem. It is my responsibility to ensure that, whenever possible, this complementary problem is being solved time-spectrally as well. My research involves conducting design-optimization studies of helicopter rotors and wind-turbine blades. Together, time-spectral flow and adjoint solutions make the prospect of exploring new designs theoretically much simpler and computationally less burdensome.

Trent W. Lukaczyk

Ph.D. Candidate in the Aero/Astro department

Most of the developer work I've done for SU2 has been on the python wrapping and mesh manipulation. I iterated on the existing wrappers to increase their robustness to future development, and added important server-like scripts that allow optimizers to treat SU2 like a function call on a cluster. I also wrote the pointwise plugin, and STL output function. My main area of research is Multi-disciplinary design optimization of Supersonic Aircraft using response surface and I have validated an tested critical SU2 subrotuines in this application.

Santiago Padrón

Ph.D. Candidate in the Aero/Astro department

My initial contribution to SU2 is in the implementation of an aeroelastic model. A couple of the applications I'm intending in using the aeroelastic model for are: computing flutter boundaries for airfoils and for analyzing vertical axis wind turbines.

Brendan D. Tracey

Ph.D. Candidate in the Aero/Astro department

My research deals with the development of new turbulence models using machine learning techniques. I am using SU2 for data generation, and will soon begin implementing my research in the developer edition of the SU2 solver. If these new models can be validated and be made efficient, they will be migrated to the official release. I am also helping to develop shape optimization techniques as well as some of the administrative sides of SU2.

Andrew D. Wendorff

Ph.D. Candidate in the Aero/Astro department

My initial work for SU2 is to add an actuator disk model for use in rotor-craft, propellers, and open rotors. This will be completed in a flexible way to allow rotor properties and locations to be easily varied for use within the adjoint solver. My research interest include the use of SU2 in a multi-information source optimization in aircraft design.

Developer Alumni

  • Alejandro Campos
  • Amrita K. Lonkar
  • Thomas Taylor


    The SU2 developers would also like to thank the following researchers (contribution to the code and helpful discussions): Alfonso Bueno (University of Oxford), Michael Buonanno (Lockheed-Martin Corporation), Carlos Castro (UPM), Gérald Carrier (ONERA), Karthik Duraisamy (University of Michigan), Jason Hicken (RPI), Antony Jameson (Stanford) Benjamin Kirk (NASA), Rubén Pérez (Royal Military College of Canada), Vincent Terrapon (University of Liege), and Enrique Zuazua (BCAM).