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: | 1033 | |
|---|---|---|
| Name: | 3-methylnonane | |
| Description: | ||
| Labels: | Paraffins | |
| CAS: | ||
| InChi Code: | InChI=1S/C10H22/c1-4-6-7-8-9-10(3)5-2/h10H,4-9H2,1-3H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 311 |
experimental value |
| 314.13 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 312.21 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 314.86 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 313.12 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 313.58 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 42.03 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| 42.35 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 50.92 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 50.98 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |