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:5
Name:(9Z,12Z,15Z)-octadeca-9,12,15-trien-1-ol
Description:
Labels:Alcohols
CAS:
InChi Code:InChI=1S/C18H32O/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19/h3-4,6-7,9-10,19H,2,5,8,11-18H2,1H3/b4-3-,7-6-,10-9-

Properties

FP: Flash point [K]

ValueSource or prediction
433.5

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

375.46

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

381.86

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

404.24

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

398.76

FP_consensus: Consensus model for flash point (Prediction set)

CN: Cetane number

ValueSource or prediction
41

experimental value

40.73

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

37.25

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

35.38

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

43.21

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