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:215
Name:3-ethyl-3-(beta-naphthyl)nonane
Description:
Labels:Aromatics
CAS:
InChi Code:InChI=1S/C21H30/c1-4-7-8-11-16-21(5-2,6-3)20-15-14-18-12-9-10-13-19(18)17-20/h9-10,12-15,17H,4-8,11,16H2,1-3H3

Properties

FP: Flash point [K]

ValueSource or prediction
511.14

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

421.09

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

439.45

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

445.52

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

454.3

FP_consensus: Consensus model for flash point (Prediction set)

CN: Cetane number

ValueSource or prediction
13

experimental value

13.68

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

12.65

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

17.85

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

13.08

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