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                 <h2>OpenSBLI</h2>
                 <p>A framework for the automated derivation of finite difference solvers from high-level problem descriptions</p>
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+            <p>Current version: Version 3.0, correponding to Lusher et al (2025) Computer Physics Communications, Volume 307, Article Number 109406 
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             <p>OpenSBLI is a Python-based modelling framework that is capable of expanding a set of differential equations written in Einstein notation and automatically generating C code that performs the finite difference approximation to obtain a solution. This C code is then targetted with the <a href="http://www.oerc.ox.ac.uk/projects/ops">OPS library</a> towards specific hardware backends, such as MPI/OpenMP for execution on CPUs, and CUDA/OpenCL for execution on GPUs. The main focus of OpenSBLI is on the solution of the compressible Navier-Stokes equations with application to shock-boundary layer interactions (SBLI). However, in principle, any set of equations that can be written in Einstein notation may be solved. </p>
 
 <p>OpenSBLI has been through three main phases of development. Version 1 (master branch, Jacobs et al 2017) was developed by Satya Jammy and Christian Jacobs as a proof of concept, with application to a triply-periodic test case. Version 2 (cpc-release branch, see Lusher et al, 2021) was developed by David Lusher and Satya Jammy and included shock-capturing, wall boundary condition and an expanded range of applications, including a transitional shock-wave/boundary-layer interaction problem in 3D. Version 3 (jaxa-release, Lusher et al, submitted for publication, 2024) was primarily developed by David Lusher and includes support for multiblock grids, additional filter treatments and a flagship application to an airfoil in transonic flow.</p>