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: | 216 | |
|---|---|---|
| Name: | 4-ethyl-1,2-dimethylbenzene | |
| Description: | ||
| Labels: | Aromatics | |
| CAS: | ||
| InChi Code: | InChI=1S/C10H14/c1-4-10-6-5-8(2)9(3)7-10/h5-7H,4H2,1-3H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 331 |
experimental value |
| 323.03 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 332.75 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 324.78 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 332.32 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 328.22 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 1.58 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| 2.27 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 9.86 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 11.99 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID6061317 | US EPA CompTox Dashboard |