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The CFD code TRACE (Turbomachinery Research Aerodynamic Computational Environment) has been developed at DLR's Institute of Propulsion Technology since the early 1990s in close cooperation with MTU Aero Engines AG and several universities throughout Germany. The flow solver is used in turbomachinery research and in the industrial design of aero engines and stationary gas turbines and is one of the core components of the virtual engine. TRACE can be used on high performance workstations as well as on modern super computers with thousands of processor cores. Outside DLR, universities and other research institutes use TRACE for the scientific analysis of turbomachinery flows. In addition, MTU Aero Engines AG, Siemens Energy Global GmbH & Co. KG, and AeroDesignWorks GmbH employ TRACE in industrial design environments for the design and optimization of turbomachinery components. TRACE is not just a flow solver, but rather a complete simulation suite for setting up, running and analyzing highly complex simulations. The software is used in the development and design of tomorrow’s jet engines and gas turbines, and as a tool for understanding the complex, multidisciplinary physics of turbomachinery in research and industry. TRACE offers a wide range of numerical methods, from steady-state calculations (RANS) to the resolution of turbulent structures (LES/DNS). In addition, the simulation suite includes state-of-the-art methods such as an adjoint solver and frequency domain methods. Components The simulation system TRACE consists of the modules PREP, TRACE, and POST. PREP is a preprocessor for mapping blade eigenmodes of a FEM calculation on a CFD grid for flutter or forced response analysis. TRACE is the hybrid (structured and unstructured) flow solver with nonlinear solvers in the time and in the frequency domain, a linearized module in the frequency domain and an adjoint flow solver. POST is a comprehensive software tool for the global analysis of stationary and non-stationary multi-stage turbomachinery simulations. Key features Specialized boundary conditions for efficient calculation of multi-stage configurations Frequency domain method for efficient calculation of unsteady flow Adjoint methods Physical models optimized for use in turbomachinery Machine learning framework Higher-order discontinuous Galerkin solver as the basis for highly accurate numerical experiments FSI and linear solver