A new index for the comparative evaluation of combustion local low-dimensional manifolds-Reference-Cited by-同舟云学术

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A new index for the comparative evaluation of combustion local low-dimensional manifolds

Published:2024-07 Issue: Volume:265 Page:113434
ISSN:0010-2180
Container-title:Combustion and Flame
language:en
Short-container-title:Combustion and Flame

Author:

Savarese Matteo^ORCID,Jung Ki Sung,Dave Himanshu^ORCID,Chen Jacqueline H.,Parente Alessandro

Funder

Office of Science

Fond National de la Recherche Scientific

European Research Council

Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture

Horizon 2020

Sandia National Laboratories

Sapienza Università di Roma

U.S. Department of Energy

National Nuclear Security Administration

Publisher

Elsevier BV

Reference47 articles.

1. Combustion machine learning: Principles, progress and prospects;Ihme;Prog. Energy Combust. Sci.,2022

2. Machine learning for combustion;Zhou;Energy AI,2022

3. Toward accommodating realistic fuel chemistry in large-scale computations;Lu;Prog. Energy Combust. Sci.,2009

4. Empirical low-dimensional manifolds in composition space;Yang;Combust. Flame,2013

5. Combustion modeling using principal component analysis;Sutherland;Proc. Combust. Inst.,2009

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