10967/123 - QDB Compounds

QsarDB Repository

Saldana, D. A.; Starck, L.; Mougin, P.; Rousseau, B.; Pidol, L.; Jeuland, N.; Creton, B. Flash Point and Cetane Number Predictions for Fuel Compounds Using Quantitative Structure Property Relationship (QSPR) Methods. Energy Fuels 2011, 25, 9, 3900–3908.

Compound

ID:344
Name:2-ethylhexyl (9Z)-octadec-9-enoate
Description:
Labels:Esters
CAS:
InChi Code:InChI=1S/C26H50O2/c1-4-7-8-9-10-11-12-13-14-15-16-17-18-19-20-22-26(27)28-24-23-25(6-3)21-5-2/h13-14,25H,4-12,15-24H2,1-3H3/b14-13-

Properties

FP: Flash point [K]

ValueSource or prediction
367.01

FP_PLS-MD: PLS-MD model for flash point (Prediction set)

367.86

FP_SVM-GD: SVM-GD model for flash point (Prediction set)

396.38

FP_NN-MD: NN-MD model for flash point (Prediction set)

375.8

FP_NN-GD: NN-GD model for flash point (Prediction set)

376.76

FP_consensus: Consensus model for flash point (Prediction set)

CN: Cetane number

ValueSource or prediction
88.2

experimental value

87.94

CN_SVM-GD: SVM-GD model for cetane number (Training set)

81.32

CN_SVM-MD: SVM-MD model for cetane number (Training set)

79.15

CN_NN-MD: NN-MD model for cetane number (Training set)

89.39

CN_GRNN-MD: GRNN-MD model for cetane number (Training set)