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On the Influence of Polynomial De-aliasing on Subgrid Scale Models, , , , and . FLOW TURBULENCE AND COMBUSTION, 97 (2): 475-511 (September 2016)On the Influence of Polynomial De-aliasing on Subgrid Scale Models, , , , and . Flow turbulence and combustion, 97 (2): 475-511 (2016)A highly efficient large eddy simulation method for DGSEM using non-linearly optimized relaxation filters., , and . CoRR, (2019)An Efficient High Performance Parallelization of a Discontinuous Galerkin Spectral Element Method., , , , , and . Facing the Multicore-Challenge, volume 7686 of Lecture Notes in Computer Science, page 37-47. Springer, (2012)Deep Neural Networks for Data-Driven Turbulence Models., , and . CoRR, (2018)On the Influence of Polynomial De-aliasing on Subgrid Scale Models, , , , and . Flow, Turbulence and Combustion, 97 (2): 475--511 (Sep 1, 2016)A neural network based shock detection and localization approach for discontinuous Galerkin methods, , , and . Journal of computational physics, (2020)Underresolved Turbulence Simulations with Stabilized High Order Discontinuous Galerkin Methods, , , , , and . Direct and large-eddy simulation IX, 20, Dordrecht, Springer, (2015)Investigating Model-Data Inconsistency in Data-Informed Turbulence Closure Terms, and . 14th WCCM & ECCOMAS Congress 2020, Barcelona, International Centre for Numerical Methods in Engineering (CIMNE), (2021)