Modal decomposition techniques are showing a fast growth in popularity for their wide range
of applications and their various properties, especially as data-driven tools. There are many …

A plant's genome encodes enzymes, transporters and many other proteins which constitute
metabolism. Interactions of plants with their environment shape their growth, development …

A data-driven projection-based reduced-order model (ROM) for nonlinear thermal radiative
transfer (TRT) problems is presented. The TRT ROM is formulated by (i) a hierarchy of low …

We present a new approach to calculating time eigenvalues of the neutron transport
operator (also known as α eigenvalues) by extending the dynamic mode decomposition …

Cardiac cine magnetic resonance imaging (MRI) can be considered the optimal criterion for
measuring cardiac function. This imaging technique can provide us with detailed information …

A new group of structure and asymptotic preserving reduced-order models (ROMs) for
multidimensional nonlinear thermal radiative transfer (TRT) problems is presented. They are …

Repetitively conducting high-fidelity numerical simulations under varying conditions is often
a crucial requirement in the optimisation design of offshore bridges and structures. Reduced …

Spatio-temporal dynamic mode decomposition (STDMD) is an extension of dynamic mode
decomposition (DMD) designed to handle spatio-temporal datasets. It extends the …

Accurate and efficient gradient computation is the key to aerodynamic shape optimization. In
this paper, dynamic mode decomposition (DMD) is employed to analyze the dynamic …

This study presents a novel application of data-driven resolvent analysis algorithm for flow
control. The objective is to identify key coherent structures connected to regions of the flow …