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:948
Name:2,2,4,4,6,8,8-heptamethylnonane
Description:
Labels:Paraffins
CAS:
InChi Code:InChI=1S/C16H34/c1-13(10-14(2,3)4)11-16(8,9)12-15(5,6)7/h13H,10-12H2,1-9H3

Properties

FP: Flash point [K]

ValueSource or prediction
368.15

experimental value

359.2

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

371.12

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

374.73

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

374.01

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

369.75

FP_consensus: Consensus model for flash point (Training set)

CN: Cetane number

ValueSource or prediction
11.58

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

10.97

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

-11.15

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

24.63

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

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