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:780
Name:2,2,6,6,8,8-hexamethyl-4-methylene-nonane
Description:
Labels:Olefins
CAS:
InChi Code:InChI=1S/C16H32/c1-13(10-14(2,3)4)11-16(8,9)12-15(5,6)7/h1,10-12H2,2-9H3

Properties

FP: Flash point [K]

ValueSource or prediction
364.29

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

368.11

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

373.42

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

374.61

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

370.09

FP_consensus: Consensus model for flash point (Prediction set)

CN: Cetane number

ValueSource or prediction
4.5

experimental value

4.76

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

4.78

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

4.9

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

4.61

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