Due to the significant improvement in computing power and the rapid advancement of data
processing technologies, artificial intelligence (AI) has introduced new tools and …

A superstructure-based method is applied to optimize the design of supercritical carbon
dioxide cycle for concentrated solar power systems. A superstructure is designed for the …

Reduced order modeling is an important and fast-growing research field in computational
science and engineering, motivated by several reasons, of which we mention just a few …

One of today's most propitious immersive technologies is virtual reality (VR). This term is
colloquially associated with headsets that transport users to a bespoke, built-for-purpose …

Purpose Aerodynamic shape optimisation is complex because of the high dimensionality of
the problem, the associated non-linearity and its large computational cost. These three …

The increased need to design higher performing aerodynamic shapes has led to design
optimization cycles requiring high-fidelity CFD models and high-dimensional …

Inexpensive surrogates are useful for reducing the cost of science and engineering studies
involving large-scale, complex computational models with many input parameters. A ridge …

The performance of compressors often deviates significantly from the design value due to
the substantial geometric deviations arising from manufacturing errors and in-service …

Ridge functions have recently emerged as a powerful set of ideas for subspace-based
dimension reduction. In this paper we begin by drawing parallels between ridge subspaces …

With the increased demand for hydrogen for carbon-neutral propulsion technologies,
understanding the coupling effect of the fuel injection and cavity on flow characteristics is …