A deep reinforcement learning framework for dynamic optimization of numerical schemes for compressible flow simulations
Yiqi Feng, Felix S. Schranner, Josef Winter, Nikolaus A. Adams
Topics & Concepts
Computer scienceReinforcement learningDissipationFlow (mathematics)Truncation (statistics)Scale (ratio)CompressibilityStatistical physicsApplied mathematicsMathematical optimizationAlgorithmArtificial intelligenceMechanicsMathematicsPhysicsMachine learningQuantum mechanicsThermodynamicsModel Reduction and Neural NetworksComputational Fluid Dynamics and AerodynamicsFluid Dynamics and Turbulent Flows