Litcius/Paper detail

Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network

Meiling Cheng, F. Fang, Christopher C. Pain, I. M. Navon

2020Computer Methods in Applied Mechanics and Engineering89 citationsDOIOpen Access PDF

Topics & Concepts

Deep learningFlow (mathematics)Computer scienceFluid dynamicsArtificial intelligenceNonlinear systemGenerative grammarComputational fluid dynamicsHigh fidelityConvolutional neural networkMechanicsMathematicsEngineeringGeometryPhysicsElectrical engineeringQuantum mechanicsMeteorological Phenomena and SimulationsModel Reduction and Neural NetworksFluid Dynamics and Turbulent Flows