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: | 1048 | |
|---|---|---|
| Name: | 3,5-dimethyloctane | |
| Description: | ||
| Labels: | Paraffins | |
| CAS: | ||
| InChi Code: | InChI=1S/C10H22/c1-5-7-10(4)8-9(3)6-2/h9-10H,5-8H2,1-4H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 314 |
experimental value |
| 302.56 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 306.74 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 310.67 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 306.18 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 306.53 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 33.3 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| 29.69 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 43.16 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 45.26 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |