First published 9/30/2026, 8:58:15 AM · Last updated 9/30/2026, 8:58:15 AM

Turbulent combustion of lean hydrogen/air premixed ﬂames : from numerical assessment of Lewis number eﬀects to deep learning modeling for large eddy simulations

A dissertation published by the Agence Bibliographique de l'Enseignement Supérieur on 2026-04-08 examines turbulent combustion in lean hydrogen–air premixed flames, covering numerical assessment of Lewis number effects and deep-learning approaches for large eddy simulation modeling. The source is metadata for an academic thesis and contains no operational incident details.

Categories: science-and-space

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence: 6/10How certain the assessment is based on the clarity and evidence in the cited reporting.
Geographic reach: 1/10How widely the event reaches, from a local area (1) to worldwide impact (10).
Global importance: 2/10The event's broader significance, from limited importance (1) to major global importance (10).
Impact magnitude: 2/10The scale or severity of the real-world impact, from minor (1) to extreme (10).
Positivity: 7/10How harmful or beneficial the event is, from strongly harmful (1) to strongly positive (10).
Urgency: 1/10How time-sensitive the event is, from low urgency (1) to immediate attention needed (10).

Why it matters

The work is relevant to researchers and students working on combustion modeling and simulation methods.

Sources

Turbulent combustion of lean hydrogen/air premixed ﬂames : from numerical assessment of Lewis number eﬀects to deep learning modeling for large eddy simulations

Report an issue