Computational fluid dynamics (CFD) is a relatively young discipline, having emerged during the last 50 years. During this period, advances in CFD have coincided with improvements in computational hardware and advanced algorithms, including spatial methods, mesh generation methods, and steady and unsteady turbulence models. This has led to CFD being used to solve increasingly complex engineering problems. For example, CFD technology has been widely used in the design of the Airbus A380 and the Boeing 787. CFD has revolutionized the design process in the aerospace industry by helping to reduce wind tunnel testing time.

Given the significant amount of global research on the unique features of advanced CFD algorithms, this Special Issue aims to provide a platform that allows active researchers to present state-of-the-art research and review articles that concern CFD technologies, developments and applications in aerospace engineering.

Potential topics include but are not limited to the following:

• The applications of innovative spatial algorithms to aerospace engineering, such as higher-order methods and advanced Riemann solvers
• The applications of innovative intelligent algorithms to aerospace engineering, such as machine learning and artificial intelligence
• The applications of innovative mesh refinement techniques and grid generation methods to aerospace engineering
• The applications of advanced steady Reynolds-averaged Navier-Stokes (RANS) models to aerospace engineering
• The applications of advanced unsteady turbulence models to aerospace engineering in the areas of large eddy simulation (LES) and hybrid RANS-LES