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: | 792 | |
|---|---|---|
| Name: | 2,6-dimethylhept-1-ene | |
| Description: | ||
| Labels: | Olefins | |
| CAS: | ||
| InChi Code: | InChI=1S/C9H18/c1-8(2)6-5-7-9(3)4/h9H,1,5-7H2,2-4H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 289.85 |
FP_PLS-MD: PLS-MD model for flash point (Prediction set) |
| 290.33 |
FP_SVM-GD: SVM-GD model for flash point (Prediction set) |
| 297.41 |
FP_NN-MD: NN-MD model for flash point (Prediction set) |
| 289.9 |
FP_NN-GD: NN-GD model for flash point (Prediction set) |
| 291.87 |
FP_consensus: Consensus model for flash point (Prediction set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 51 |
experimental value |
| 50.73 |
CN_SVM-GD: SVM-GD model for cetane number (Training set) |
| 50.73 |
CN_SVM-MD: SVM-MD model for cetane number (Training set) |
| 47 |
CN_NN-MD: NN-MD model for cetane number (Training set) |
| 44.52 |
CN_GRNN-MD: GRNN-MD model for cetane number (Training set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID90184767 | US EPA CompTox Dashboard |