Ensemble predictions of laser ignition with a hybrid stochastic physics-embedded deep-learning framework

WT Chung, C Laurent, D Passiatore, M Ihme - Proceedings of the …, 2024 - Elsevier
When investigating stochastic ignition phenomena, high-fidelity simulations and
experiments for statistical characterization can be a laborious endeavor. Machine learning …

Artificial intelligence as a catalyst for combustion science and engineering

M Ihme, WT Chung - Proceedings of the Combustion Institute, 2024 - Elsevier
Combustion and energy conversion play critical roles in all facets of environmental and
technological applications, including the utilization of sustainable energy sources for power …

Laser-induced indirect ignition of non-premixed turbulent shear layers

JM Wang, M Di Renzo, G Iaccarino, H Wang… - Combustion and …, 2024 - Elsevier
This study uses direct numerical simulations to investigate the forced ignition of temporally-
evolving turbulent subsonic shear layers separating a gaseous stream of methane (CH 4) …

Research on laser induced plasma ignition of gas oxygen/methane

S Zhu, Y Huang, L Li, X Wei, B Liu - Acta Astronautica, 2024 - Elsevier
Laser-induced plasma ignition is a new ignition method to achieve stable and reliable
ignition of liquid rocket engines. It has the advantages of accurate and controllable ignition …

Bi-Fidelity Data Ensembles of a Rocket Ignition System With Stochastic Interpolative Decomposition

T Zahtila, M Cutforth, DJ Brouzet, D Passiatore… - AIAA SCITECH 2025 …, 2025 - arc.aiaa.org
Laser-induced spark is an ignition method in a rocket combustor that facilitates engine re-
ignition throughout a mission. The present work generates a probability map of successful …

[PDF][PDF] Progress on multifidelity simulations of a laser-ignited rocket combustor

T Zahtila, D Passiatore, G Iaccarino - researchgate.net
The goal of the Stanford PSAAP-III Center (2020–2025) is to determine laser ignition
reliability maps in subscale rocket combustors using multifidelity ensembles of numerical …