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********************************************************************************
* *
* This file is part of JAX-FLUIDS *
* *
********************************************************************************
* *
* JAX-FLUIDS is a comprehensive fully-differentiable compressible two-phase *
* CFD Python package. JAX-FLUIDS allows the simulation of complex fluid *
* dynamics with phenomena like three-dimensional turbulence, compressibility *
* effects, and two-phase flows. Written entirely in JAX, it is straightforward *
* to include existing ML models into the proposed framework. Furthermore, *
* JAX-FLUIDS enables end-to-end optimization. I.e., ML models are optimized *
* with gradients that are backpropagted through the entire CFD algorithm, *
* and therefore contain not only information of the underlying PDE but also of *
* the applied numerical methods. We believe that a Python package like *
* JAX-FLUIDS is crucial to facilitate the intersection of ML and CFD, and may *
* pave the way for an era of research at differentiable fluid dynamics. *
* *
* This code is developed by D. Bezgin and A. Buhendwa at the Chair *
* of Aerodynamics and Fluid Mechanics, Technical University of Munich. *
* *
* *
********************************************************************************
* *
* LICENSE *
* *
* JAX-FLUIDS *
* Copyright (C) 2022 Deniz A. Bezgin, Aaron B. Buhendwa, Nikolaus A. Adams *
* *
* This program is free software: you can redistribute it and/or modify it *
* under the terms of the GNU General Public License as published by the Free *
* Software Foundation version 3. *
* *
* This program is distributed in the hope that it will be useful, but *
* WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY *
* or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for *
* more details. *
* *
* You should have received a copy of the GNU General Public License along *
* with this program (gpl-3.0.txt). If not, see *
* <https://www.gnu.org/licenses/gpl-3.0.html> *
* *
********************************************************************************
* *
* CONTACT *
* *
* deniz.bezgin@tum.de // aaron.buhendwa@tum.de // nikolaus.adams@tum.de *
* *
********************************************************************************
* *
* Munich, April 15th, 2022 *
* *
********************************************************************************