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A structure-preserving reconstruction scheme for compressible single- and multi-phase flows based on artificial neural networks
In the present study, we introduce an advanced reconstruction indicator, deepMTBVD, which is an evolution of the MUSCL-THINC-BVD algorithm\cite{RN2, RN12}. This novel indicator is developed by employing a deep learning neural network to train on numerical results derived from 1D Euler equations, thereby enhancing the capability to discern the most …