4 papers · 1 filter
Scale by scale analysis of magnetoconvection with uniform wall-normal and wall-parallel magnetic fields at low magnetic Reynolds number
Jake Ineson, Aleksander Dubas, Alex Skillen
Rayleigh-Bénard convection under an imposed inductionless magnetic field is analysed statistically from the perspective of single-point and multi-scale energy budgets. The data is…
Learning Temporally Consistent Turbulence Between Sparse Snapshots via Diffusion Models
Mohammed Sardar, MaÅgorzata J. ZimoÅ, Samuel Draycott +2
We investigate the statistical accuracy of temporally interpolated spatiotemporal flow sequences between sparse, decorrelated snapshots of turbulent flow fields using conditional D…
Spectrally Decomposed Diffusion Models for Generative Turbulence Recovery
Mohammed Sardar, Alex Skillen, MaÅgorzata J. ZimoÅ +2
We investigate the statistical recovery of missing physics and turbulent phenomena in fluid flows using generative machine learning. Here we develop a two-stage super-resolution me…
Concerning the Use of Turbulent Flow Data for Machine Learning
Mohammed Sardar, MaÅgorzata J. ZimoÅ, Samuel Draycott +2
This article describes some common issues encountered in the use of Direct Numerical Simulation (DNS) turbulent flow data for machine learning. We focus on two specific issues; 1)…