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: | 228 | |
|---|---|---|
| Name: | alpha-methylstyrene | |
| Description: | ||
| Labels: | Aromatics | |
| CAS: | ||
| InChi Code: | InChI=1S/C9H10/c1-8(2)9-6-4-3-5-7-9/h3-7H,1H2,2H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 313.15 |
experimental value |
| 316.85 |
FP_PLS-MD: PLS-MD model for flash point (Validation set) |
| 304.56 |
FP_SVM-GD: SVM-GD model for flash point (Validation set) |
| 316.04 |
FP_NN-MD: NN-MD model for flash point (Validation set) |
| 306.28 |
FP_NN-GD: NN-GD model for flash point (Validation set) |
| 310.94 |
FP_consensus: Consensus model for flash point (Validation set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| -22.13 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| -9.69 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 1.22 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 0.57 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID9025661 | US EPA CompTox Dashboard |