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: | 162 | |
|---|---|---|
| Name: | 1-methyl-3-propylbenzene | |
| Description: | ||
| Labels: | Aromatics | |
| CAS: | ||
| InChi Code: | InChI=1S/C10H14/c1-3-5-10-7-4-6-9(2)8-10/h4,6-8H,3,5H2,1-2H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 325 |
experimental value |
| 325.28 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 327.83 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 325.13 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 326.93 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 326.29 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 8.73 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| 10.16 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 17.45 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 14.32 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID4061468 | US EPA CompTox Dashboard |