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:363
Name:butyl (9Z,12Z)-octadeca-9,12-dienoate
Description:
Labels:Esters
CAS:
InChi Code:InChI=1S/C22H40O2/c1-3-5-7-8-9-10-11-12-13-14-15-16-17-18-19-20-22(23)24-21-6-4-2/h9-10,12-13H,3-8,11,14-21H2,1-2H3/b10-9-,13-12-

Properties

FP: Flash point [K]

ValueSource or prediction
425.85

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

339.67

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

373.06

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

354.18

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

373.19

FP_consensus: Consensus model for flash point (Prediction set)

CN: Cetane number

ValueSource or prediction
47.55

experimental value

45.24

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

47.31

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

46.05

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

54.83

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