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: | 938 | |
|---|---|---|
| Name: | 2,2,3-trimethylpentane | |
| Description: | ||
| Labels: | Paraffins | |
| CAS: | ||
| InChi Code: | InChI=1S/C8H18/c1-6-7(2)8(3,4)5/h7H,6H2,1-5H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 270 |
experimental value |
| 272.02 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 272.7 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 271.94 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 270.87 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 271.88 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 15.69 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| 23.4 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 36.5 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 21.55 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |