Application of machine learning for filtered density function closure in MILD combustion

ZX Chen, S Iavarone, G Ghiasi, V Kannan… - Combustion and …, 2021 - Elsevier
A machine learning algorithm, the deep neural network (DNN) 1, is trained using a
comprehensive direct numerical simulation (DNS) dataset to predict joint filtered density …
被引用次数：53 相关文章
[PDF] google.com

[PDF][PDF] Application of machine learning for filtered density function closure in MILD combustion

ZX Chen, S Iavarone, G Ghiasi, V Kannan… - Combustion and …, 2021 - drive.google.com
A machine learning algorithm, the deep neural network (DNN) 1, is trained using a
comprehensive direct numerical simulation (DNS) dataset to predict joint filtered density …

[引用][C] Application of machine learning for filtered density function closure in MILD combustion

ZZX Chen, S Iavarone, G Ghiasi, V Kannan… - Combustion and …, 2021 - difusion.ulb.ac.be

Application of machine learning for filtered density function closure in MILD combustion

ZX Chen, S Iavarone, G Ghiasi, V Kannan, G D'Alessio… - 2021 - repository.cam.ac.uk
A machine learning algorithm, the deep neural network (DNN)\footnote {The DNN code and
a sample training dataset are available for public access at\url {https://github …

Application of machine learning for filtered density function closure in MILD combustion

ZX Chen, S Iavarone, G Ghiasi, V Kannan… - COMBUSTION AND …, 2021 - re.public.polimi.it
A machine learning algorithm, the deep neural network (DNN) 1, is trained using a
comprehensive direct numerical simulation (DNS) dataset to predict joint filtered density …
[PDF] researchgate.net

[PDF][PDF] Application of machine learning for filtered density function closure in MILD combustion

ZX Chena, S Iavaronea, G Ghiasia, V Kannana… - researchgate.net
A machine learning algorithm, the deep neural network (DNN) 1, is trained using a
comprehensive direct numerical simulation (DNS) dataset to predict joint filtered density …

[引用][C] Application of machine learning for filtered density function closure in MILD combustion

ZX Chen, S Iavarone, G Ghiasi, V Kannan… - Combustion and …, 2021 - cir.nii.ac.jp
Application of machine learning for filtered density function closure in MILD combustion | CiNii
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …

Application of machine learning for filtered density function closure in MILD combustion

ZX Chen, S Iavarone, G Ghiasi… - Combustion and …, 2021 - ui.adsabs.harvard.edu
The FDFs in MILD combustion behave differently compared to those in conventional flames
because the reaction zones are more distributed. They generally exhibit non-regular (neither …