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Generative prediction of laser-induced rocket ignition with dynamic latent space representations

Accurate and predictive scale-resolving simulations of laser-ignited rocket engines are highly time-consuming because the problem includes turbulent fuel–oxidizer mixing dynamics, laser-induced energy deposition, and high-speed flame growth. This is conflated with the large design space primarily co...

Повний опис

Збережено в:
Бібліографічні деталі
Автори: Tony Zahtila, Ettore Saetta, Murray Cutforth, Davy Brouzet, Diego Rossinelli, Gianluca Iaccarino
Формат: Artigo
Мова:Inglês
Опубліковано: Cambridge University Press 2026-01-01
Серія:Data-Centric Engineering
Предмети:
Онлайн доступ:https://www.cambridge.org/core/product/identifier/S263267362610063X/type/journal_article
Теги: Додати тег
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