48 citations · 125 across the 11 of their papers we have counts for
12 papers
Acceleration of an algebraic multigrid pressure solver using graph neural networks
Eric Chillón, Artur K. Lidtke, Nguyen Anh Khoa Doan +1
Solving the pressure-Poisson equation remains the primary computational bottleneck in incompressible unstructured flow solvers primarily due to the inherent sensitivity of traditio…
Discovery of a Physically Interpretable Data-Driven Wind-Turbine Wake Model
Kherlen Jigjid, Ali Eidi, Nguyen Anh Khoa Doan +1
This study presents a compact data-driven Reynolds-averaged Navier-Stokes (RANS) model for wind turbine wake prediction, built as an enhancement of the standard \(k\)-\(\varepsilon…
Clustering-based Identification of Precursors of Extreme Events in Chaotic Systems
Urszula Golyska, Nguyen Anh Khoa Doan
Abrupt and rapid high-amplitude changes in a dynamical system's states known as extreme event appear in many processes occurring in nature, such as drastic climate patterns, rogue…
Convolutional autoencoder for the spatiotemporal latent representation of turbulence
Nguyen Anh Khoa Doan, Alberto Racca, Luca Magri
Turbulence is characterised by chaotic dynamics and a high-dimensional state space, which make this phenomenon challenging to predict. However, turbulent flows are often characteri…
On interpretability and proper latent decomposition of autoencoders
Luca Magri, Anh Khoa Doan
The dynamics of a turbulent flow tend to occupy only a portion of the phase space at a statistically stationary regime. From a dynamical systems point of view, this portion is the…
Velocity Reconstruction in Puffing Pool Fires with Physics-Informed Neural Networks
Michael Philip Sitte, Nguyen Anh Khoa Doan
Pool fires are canonical representations of many accidental fires, which can exhibit an unstable unsteady behaviour, known as puffing, which involves a strong coupling between the…