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

As climate change is exacerbated and existing resources are depleted, the need for
sustainable industries becomes ever so important. Aviation is not an exception. Despite the …

Mesh-based simulations are central to modeling complex physical systems in many
disciplines across science and engineering. Mesh representations support powerful …

Solving large complex partial differential equations (PDEs), such as those that arise in
computational fluid dynamics (CFD), is a computationally expensive process. This has …

In recent decades, the environmental impacts of aviation have become a key challenge for
the aeronautical community. Advanced and well-established technologies such as active …

Antony Jameson pioneered CFD-based aerodynamic design optimization in the late 1980s.
In addition to developing the fundamental theory, Jameson implemented that theory in …

The adjoint method is used for high-fidelity aerodynamic shape optimization and is an
efficient approach for computing the derivatives of a function of interest with respect to a …

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Small scale unmanned aerial vehicles using multirotor propulsion systems have received
considerable attention for a wide range of military and commercial applications in recent …

The termsurrogate modeling'in computational science and engineering refers to the
development of computationally efficient approximations for expensive simulations, such as …