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: | 386 | |
|---|---|---|
| Name: | decyl methanoate | |
| Description: | ||
| Labels: | Esters | |
| CAS: | ||
| InChi Code: | InChI=1S/C11H22O2/c1-2-3-4-5-6-7-8-9-10-13-11-12/h11H,2-10H2,1H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 373 |
experimental value |
| 384.37 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 374.79 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 377.95 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 376.39 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 378.38 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 66.47 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| 45.94 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 47.16 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 43.47 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |