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: | 240 | |
|---|---|---|
| Name: | isobutylbenzene | |
| Description: | ||
| Labels: | Aromatics | |
| CAS: | ||
| InChi Code: | InChI=1S/C10H14/c1-9(2)8-10-6-4-3-5-7-10/h3-7,9H,8H2,1-2H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 325.15 |
experimental value |
| 319.98 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 315.71 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 325.24 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 317.97 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 319.73 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 17.83 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| 40.09 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 36.11 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 11.04 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID6027181 | US EPA CompTox Dashboard |