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Deep neural operators as accurate surrogates for shape optimization

Khemraj Shukla, Vivek Oommen, Ahmad Peyvan, Michael Penwarden, Nicholas Plewacki, Luis Bravo, Anindya Ghoshal, Robert M. Kirby, George Em Karniadakis

2023Engineering Applications of Artificial Intelligence79 citationsDOI

Topics & Concepts

Computer scienceAirfoilSolverShape optimizationLift-to-drag ratioMathematical optimizationLift (data mining)AerodynamicsComputational fluid dynamicsAlgorithmMachine learningFinite element methodMathematicsAerospace engineeringProgramming languageEngineeringThermodynamicsPhysicsModel Reduction and Neural NetworksFluid Dynamics and Turbulent FlowsProbabilistic and Robust Engineering Design
Deep neural operators as accurate surrogates for shape optimization | Litcius