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: | 267 | |
|---|---|---|
| Name: | tetradecylbenzene | |
| Description: | ||
| Labels: | Aromatics | |
| CAS: | ||
| InChi Code: | InChI=1S/C20H34/c1-2-3-4-5-6-7-8-9-10-11-12-14-17-20-18-15-13-16-19-20/h13,15-16,18-19H,2-12,14,17H2,1H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 421.58 |
FP_PLS-MD: PLS-MD model for flash point (Prediction set) |
| 430.79 |
FP_SVM-GD: SVM-GD model for flash point (Prediction set) |
| 422.34 |
FP_NN-MD: NN-MD model for flash point (Prediction set) |
| 445.57 |
FP_NN-GD: NN-GD model for flash point (Prediction set) |
| 430.07 |
FP_consensus: Consensus model for flash point (Prediction set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 72 |
experimental value |
| 71.73 |
CN_SVM-GD: SVM-GD model for cetane number (Training set) |
| 71.71 |
CN_SVM-MD: SVM-MD model for cetane number (Training set) |
| 66.39 |
CN_NN-MD: NN-MD model for cetane number (Training set) |
| 59.38 |
CN_GRNN-MD: GRNN-MD model for cetane number (Training set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID1051729 | US EPA CompTox Dashboard |