Prediction of the auto-ignition temperature of binary liquid mixtures based on the quantitative structure–property relationship approach
Author:
Funder
National Basic Research Program of China
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
http://link.springer.com/content/pdf/10.1007/s10973-019-08774-9.pdf
Reference58 articles.
1. Gharagheizi F. An accurate model for prediction of autoignition temperature of pure compounds. J Hazard Mater. 2011;189:211–21.
2. Pan Y, Jiang JC, Wang R, et al. Prediction of auto-ignition temperatures of hydrocarbons by neural network based on atom-type electrotopological-state indices. J Hazard Mater. 2008;157:510–7.
3. Lazzús JA. Autoignition temperature prediction using an artificial neural network with particle swarm optimization. Int J Thermophys. 2011;32:957–73.
4. ASTM International, ASTM standard test method E659-15, West Conshohocken, PA, 2000.
5. Pan Y, Jiang JC, Wang R, et al. Predicting the auto-ignition temperatures of organic compounds from molecular structure using support vector machine. J Hazard Mater. 2009;164:1242–9.
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