Train small, model big: Scalable physics simulators via reduced order modeling and domain decomposition
Seung Whan Chung, Youngsoo Choi, Pratanu Roy, Thomas Moore, Thomas Roy, Tiras Y. Lin, Du T. Nguyen, Christopher Hahn, Eric B. Duoss, Sarah E. Baker
Topics & Concepts
ScalabilityDomain decomposition methodsDiscontinuous Galerkin methodScale (ratio)Computer scienceComputational scienceHigh fidelityDecompositionDomain (mathematical analysis)Scale modelFlow (mathematics)Applied mathematicsFinite element methodAerospace engineeringPhysicsMathematicsEngineeringMechanicsMathematical analysisAcousticsBiologyQuantum mechanicsDatabaseThermodynamicsEcologyModel Reduction and Neural NetworksFluid Dynamics and Vibration AnalysisNumerical methods for differential equations