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:266
Name:tert-butyltetralin
Description:
Labels:Aromatics
CAS:
InChi Code:InChI=1S/C14H20/c1-14(2,3)13-10-6-8-11-7-4-5-9-12(11)13/h4-5,7,9,13H,6,8,10H2,1-3H3

Properties

FP: Flash point [K]

ValueSource or prediction
388.34

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

385.33

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

382.42

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

376.49

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

383.15

FP_consensus: Consensus model for flash point (Prediction set)

CN: Cetane number

ValueSource or prediction
17

experimental value

16.73

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

13.6

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

14.6

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

12.72

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