Neural network-based prediction of auto-ignition temperature of ternary mixed liquids

Author:

Guo Bingyu,Cheng Zehui,Hu Shuangqi

Publisher

Elsevier BV

Reference41 articles.

1. Autoignition temperature trends for various chemical families;Redd;J. Fuel.,2024

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3. The simplest method for reliable prediction of autoignition temperature of organic hydroxyl compounds to assess their process safety in industrial applications;Nazari;J. Process Safety and Environmental Protection,2021

4. On the entropy generation and exergy loss of laminar premixed flame under engine-relevant conditions;Liu;J. Fuel.,2021

5. Advantages of support vector machine in QSPR studies for predicting auto-ignition temperatures of organic compounds;Pan;J. Chemometrics and Intelligent Laboratory Systems,2008

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