In marine applications, estimating velocity fields or other states from limited data are
important as it provides a reference for active control. In this work, we propose PVNet …

This paper presents an experimental investigation of combustion instability and flame
dynamics in a laboratory-scale lean premixed prevaporized centrally staged combustor …

This article presents an innovative open-source software named ModelFLOWs-app, 1
written in Python, which has been created and tested to generate precise and robust hybrid …

This paper describes the numerical implementation in a high-performance computing
environment of an open-source library for model order reduction in fluid dynamics. This …

This study explores challenges in multivariate modal decomposition for various flow
scenarios, emphasizing the problem of inconsistent physical modes in Proper Orthogonal …

This study is focused on a reduced-order model (ROM) based on proper orthogonal
decomposition (POD) for unsteady flow around a stationary object, which allows prediction …

Reversible pump-turbines are the core component in most pumped storage power stations
worldwide; however, their performances are worst affected by the unstable hydraulic …

This study proposes a three-dimensional mode-based surrogate framework to predict the
tornado-like vortex (TLV) derived from the fuzzy neural network and delayed proper …

This paper proposes a novel proper orthogonal decomposition method for constructing a
reduced-order model. This model effectively computes solutions for various initial conditions …

Hydraulic turbines sometimes exhibit a sharp efficiency drop around the best efficiency
point. The drop is known to originate from large flow separations in their draft tubes, limiting …