Grid Generation for Fluid Mechanics Computations

Peter R. Eiseman

Annual Review of Fluid Mechanics · 1985 · 129 citations · 0 references

Concepts

Abstract

The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data from experiments, field measurements, and large-scale simulations at multiple spatiotemporal scales. Machine learning (ML) offers a wealth of techniques to extract ...Read More