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:309
Name:dimethyl phthalate
Description:
Labels:Aromatics, (Oxygenates)
CAS:
InChi Code:InChI=1S/C10H10O4/c1-13-9(11)7-5-3-4-6-8(7)10(12)14-2/h3-6H,1-2H3

Properties

FP: Flash point [K]

ValueSource or prediction
419

experimental value

395.86

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

412.94

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

405.98

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

398.53

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

403.33

FP_consensus: Consensus model for flash point (Training set)

CN: Cetane number

ValueSource or prediction
-8.97

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

2.95

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

-10.29

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

29.99

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

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