We are releasing the second version of our Stanford University Unstructured (SU2) open-source code (su2.stanford.edu). This is a collection of C++ based software tools for performing Partial Differential Equation (PDE) analysis and for solving PDE constrained optimization problems, with special emphasis on Computational Fluid Dynamics (CFD) and optimal shape design.

Version 2.0 includes improvements in the code structure and also new exciting capabilities. The new code is faster, more accurate and more stable thanks to the implementation and improvement of numerical techniques like agglomeration multigrid, advanced linear solvers and preconditioning techniques (e.g., line implicit and low Mach preconditioning).

The new SU2 allows the user to solve new and important problems such as the simulation of internal flows, incompressible fluids, engine effects, plasma in air or argon, or even unsteady simulation and design using dynamic meshes.

The design capabilities have also been greatly improved with the introduction of a continuous adjoint for Euler and Navier-Stokes flows, a discrete adjoint for Euler flows and new Python scripts used for automation.

A year on from the first release of the code, it has been downloaded over 2,700 times and the main SU2 website (http://su2.stanford.edu) has received over 22,000 independent visits from across the world, with the most visits coming from users in the USA, China and India.

SU2 is under active development in the Aerospace Design Lab (ADL) in the Department of Aeronautics and Astronautics at Stanford University and is released under an open-source license. More information can be found at: http://su2.stanford.edu