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: | 434 | |
|---|---|---|
| Name: | ethyl hept-6-enoate | |
| Description: | ||
| Labels: | Esters | |
| CAS: | ||
| InChi Code: | InChI=1S/C9H16O2/c1-3-5-6-7-8-9(10)11-4-2/h3H,1,4-8H2,2H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 352.15 |
experimental value |
| 343.78 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 342.46 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 346.11 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 339.17 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 342.88 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 16.64 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| 9.68 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 17.65 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 25.55 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID60339964 | US EPA CompTox Dashboard |