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:272
Name:(2-methylphenyl)methanol
Description:
Labels:Aromatics, (Oxygenates)
CAS:
InChi Code:InChI=1S/C8H10O/c1-7-4-2-3-5-8(7)6-9/h2-5,9H,6H2,1H3

Properties

FP: Flash point [K]

ValueSource or prediction
377.15

experimental value

375.7

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

378.95

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

366.07

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

377.57

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

374.57

FP_consensus: Consensus model for flash point (Training set)

CN: Cetane number

ValueSource or prediction
15.81

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

-0.28

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

-3.59

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

28.57

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

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