📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A Machine Learning Approach to Predict Near-optimal Meshes for Turbulent Compressible Flow Simulations (2025)

First Author: Sanchez-Gamero S

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1080/10618562.2024.2306941

Publication URI: http://dx.doi.org/10.1080/10618562.2024.2306941

Type: Journal Article/Review

Parent Publication: International Journal of Computational Fluid Dynamics

Issue: 2-3