Towards a generalised artificial neural network for sub-grid filtered density function closure in turbulent combustion-Reference-Cited by-同舟云学术

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Towards a generalised artificial neural network for sub-grid filtered density function closure in turbulent combustion

Published:2023-06 Issue: Volume:14 Page:100142
ISSN:2666-352X
Container-title:Applications in Energy and Combustion Science
language:en
Short-container-title:Applications in Energy and Combustion Science

Author:

Yang Hanying,Kobayashi Tota,Iavarone Salvatore^ORCID,Massey James C.^ORCID,Chen Zhi X.^ORCID,Minamoto Yuki^ORCID,Swaminathan Nedunchezhian^ORCID

Funder

National Natural Science Foundation of China

Fonds De La Recherche Scientifique - FNRS

Mitsubishi Heavy Industries

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Fuel Technology,Energy (miscellaneous),Chemical Engineering (miscellaneous)

Reference53 articles.

1. Large eddy simulation for incompressible flows;Sagaut,2006

2. Encyclopedia of aerospace engineering;Menon,2010

3. Turbulent flows;Pope,2000

4. Theoretical and numerical combustion;Poinsot,2005

5. Utilising artificial neural network and repro-modelling in turbulent combustion;Christo,1995

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advances and challenges of the Conditional Source-term Estimation model for turbulent reacting flows;Progress in Energy and Combustion Science;2024-09

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