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:68
Name:ethanol
Description:
Labels:Alcohols
CAS:
InChi Code:InChI=1S/C2H6O/c1-2-3/h3H,2H2,1H3

Properties

FP: Flash point [K]

ValueSource or prediction
286

experimental value

279.94

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

283.84

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

280.63

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

276.18

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

280.15

FP_consensus: Consensus model for flash point (Training set)

CN: Cetane number

ValueSource or prediction
9.5

experimental value

9.23

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

9.27

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

8.81

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

11.48

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

Links to External Resources