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:340
Name:(9Z)-octadec-9-enoic acid
Description:
Labels:Esters
CAS:
InChi Code:InChI=1S/C18H34O2/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18(19)20/h9-10H,2-8,11-17H2,1H3,(H,19,20)/b10-9-

Properties

FP: Flash point [K]

ValueSource or prediction
361.16

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

390.59

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

416.29

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

401.21

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

392.31

FP_consensus: Consensus model for flash point (Prediction set)

CN: Cetane number

ValueSource or prediction
46.1

experimental value

45.83

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

46.24

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

50.28

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

56.29

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

Links to External Resources