most citedA machine learning approach to predict near-optimal meshes for turbulent compressible flow simulations

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cs.CE2025

Anisotropic mesh spacing prediction using neural networks

Callum Lock, Oubay Hassan, Ruben Sevilla +1

This work presents a framework to predict near-optimal anisotropic spacing functions suitable to perform simulations with unseen operating conditions or geometric configurations. T…

cs.CE2024★ 2 cited

A machine learning approach to predict near-optimal meshes for turbulent compressible flow simulations

Sergi Sanchez-Gamero, Oubay Hassan, Ruben Sevilla

This work presents a methodology to predict a near-optimal spacing function, which defines the element sizes, suitable to perform steady RANS turbulent viscous flow simulations. Th…