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: | 38 | |
|---|---|---|
| Name: | 3-methylheptan-3-ol | |
| Description: | ||
| Labels: | Alcohols | |
| CAS: | ||
| InChi Code: | InChI=1S/C8H18O/c1-4-6-7-8(3,9)5-2/h9H,4-7H2,1-3H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 327 |
experimental value |
| 327.35 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 339.62 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 331.27 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 345.99 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 336.05 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 25.88 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| 17.06 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 28.16 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 26.63 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |