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:271
Name:(1R)-1-phenylethan-1-ol
Description:
Labels:Aromatics, (Oxygenates)
CAS:
InChi Code:InChI=1S/C8H10O/c1-7(9)8-5-3-2-4-6-8/h2-7,9H,1H3/t7-/m1/s1

Properties

FP: Flash point [K]

ValueSource or prediction
358.15

experimental value

356.82

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

356.97

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

366.28

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

365.06

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

361.28

FP_consensus: Consensus model for flash point (Training set)

CN: Cetane number

ValueSource or prediction
11.67

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

-1.43

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

-8

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

35.31

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

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