Abstract Machine learning (ML) has been increasingly used to aid aerodynamic shape
optimization (ASO), thanks to the availability of aerodynamic data and continued …

For material modeling and discovery, synthetic microstructures play a critical role as digital
twins. They provide stochastic samples upon which direct numerical simulations can be …

Engineering design tasks often require synthesizing new designs that meet desired
performance requirements. The conventional design process, which requires iterative …

The inverse approach is computationally efficient in aerodynamic design as the desired
target performance distribution is prespecified. However, it has some significant limitations …

To alleviate the computational burden associated with the computational fluid dynamics
(CFD) simulation stage and improve aerodynamic optimization efficiency, this work develops …

Inverse design has long been an efficient and powerful design tool in the aircraft industry. In
this paper, a novel inverse design method for supercritical airfoils is proposed based on …

Reducing the sonic boom to a community-acceptable level is a fundamental challenge in the
configuration design of the next-generation supersonic transport aircraft. This paper …

This paper describes the application of generative adversarial networks (GANs) to airfoil
inverse design. Specifically, this work focuses on creating new airfoil shapes via conditional …

In the preliminary aerodynamic design phase of transonic wing, inverse design of
supercritical airfoils plays an important role in acquiring practical results. However …

Airfoil optimization is the key to improving the aerodynamic performance of a rotor. However,
conventional optimization approaches cannot modify the airfoil shape intelligently in the way …