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Machine Learning-Based Identification Strategy of Fuel Surrogates for the CFD Simulation of Stratified Operations in Low Temperature Combustion Modes

Many researchers in industry and academia are showing an increasing interest in the definition of fuel surrogates for Computational Fluid Dynamics simulation applications. This need is mainly driven by the necessity of the engine research community to anticipate the effects of new gasoline formulati...

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Detaylı Bibliyografya
Asıl Yazarlar: Valerio Mariani, Leonardo Pulga, Gian Marco Bianchi, Stefania Falfari, Claudio Forte
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2021-07-01
Seri Bilgileri:Energies
Konular:
Online Erişim:https://www.mdpi.com/1996-1073/14/15/4623
Etiketler: Etiketle
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