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: | 36 | |
|---|---|---|
| Name: | 3-methylbutan-2-ol | |
| Description: | ||
| Labels: | Alcohols | |
| CAS: | ||
| InChi Code: | InChI=1S/C5H12O/c1-4(2)5(3)6/h4-6H,1-3H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 299.15 |
experimental value |
| 295.82 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 297.46 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 300.38 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 302.98 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 299.16 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 12.25 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| 2.77 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| -6.42 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 35.22 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |