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: | 842 | |
|---|---|---|
| Name: | tetradec-1-ene | |
| Description: | ||
| Labels: | Olefins | |
| CAS: | ||
| InChi Code: | InChI=1S/C14H28/c1-3-5-7-9-11-13-14-12-10-8-6-4-2/h3H,1,4-14H2,2H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 370 |
experimental value |
| 363.56 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 371.82 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 370.32 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 369.21 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 368.73 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 79 |
experimental value |
| 79.79 |
CN_SVM-GD: SVM-GD model for cetane number (Training set) |
| 78.84 |
CN_SVM-MD: SVM-MD model for cetane number (Training set) |
| 75.36 |
CN_NN-MD: NN-MD model for cetane number (Training set) |
| 55.46 |
CN_GRNN-MD: GRNN-MD model for cetane number (Training set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID4027367 | US EPA CompTox Dashboard |