This paper explores the recent advancements in enhancing Computational Fluid Dynamics
(CFD) tasks through Machine Learning (ML) techniques. We begin by introducing …

An adaptive projection-based reduced-order model (ROM) formulation is presented for
model-order reduction of problems featuring chaotic and convection-dominant physics. An …

Numerical simulation of a dual-swirl gas turbine model combustor is performed under cold
and reacting flow conditions using a three-dimensional unsteady Reynolds-averaged Navier …

In this work, large eddy simulations (LES) of a Gas Turbine Model Combustor (GTMC) are
done using a five-step global mechanism that includes separate thermal and non-thermal …

The current study aims to evaluate and investigate the development of projection-based
reduced-order models (ROMs) for efficient and accurate rotating detonation engine (RDE) …

With advances in the scope of computational modeling methodologies, an increased focus
is being placed on the application of data-driven techniques to increasingly complex …

An investigation of the spatio-temporal dynamics of a passively tripped micro-scale Eppler
E423 airfoil at two different temporal states was carried out using high-order large eddy …

This study aims to evaluate and investigate the potential techniques to construct reduced-
order models (ROMs) for parametric predictions of rotating detonation engine (RDE) …

Even with advances in modern computational capabilities, high-fidelity (eg, large eddy)
simulations of rocket combustors remain expensive. In this work, we develop a multi-zonal …

Coherent structures of hypersonic nonequilibrium non-reacting nitrogen flows over a 30/55-
degree double wedge geometry using two-dimensional configurations, with unit Reynolds …