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:424
Name:ethyl (9Z)-octadec-9-enoate
Description:
Labels:Esters
CAS:
InChi Code:InChI=1S/C20H38O2/c1-3-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20(21)22-4-2/h11-12H,3-10,13-19H2,1-2H3/b12-11-

Properties

FP: Flash point [K]

ValueSource or prediction
365

experimental value

359.29

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

384.22

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

386.24

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

381.01

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

377.69

FP_consensus: Consensus model for flash point (Training set)

CN: Cetane number

ValueSource or prediction
60.85

experimental value

59.17

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

56.45

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

55.68

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

57.75

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

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