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                                       Details for article 2 of 41 found articles
 
 
  A data-driven method to optimize soot kinetics based on uncertainty quantification and the active subspace approach
 
 
Title: A data-driven method to optimize soot kinetics based on uncertainty quantification and the active subspace approach
Author: Su, Xingyu
Nobili, Andrea
Cai, Feixue
Cuoci, Alberto
Frassoldati, Alessio
Zhou, Hua
Cleary, Matthew J.
Ren, Zhuyin
Masri, Assaad R.
Faravelli, Tiziano
Appeared in: Combustion and flame
Paging: Volume 276 () nr. C pages p.
Year: 2025
Contents:
Publisher: The Combustion Institute
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 41 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands