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:299
Name:benzyl methanoate
Description:
Labels:Aromatics, (Oxygenates)
CAS:
InChi Code:InChI=1S/C8H8O2/c9-7-10-6-8-4-2-1-3-5-8/h1-5,7H,6H2

Properties

FP: Flash point [K]

ValueSource or prediction
355

experimental value

386.51

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

353.19

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

366.47

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

356.17

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

365.59

FP_consensus: Consensus model for flash point (Training set)

CN: Cetane number

ValueSource or prediction
-5.39

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

4.26

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

-3.9

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

47.98

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

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