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: | 426 | |
|---|---|---|
| Name: | ethyl 2-methylprop-2-enoate | |
| Description: | ||
| Labels: | Esters | |
| CAS: | ||
| InChi Code: | InChI=1S/C6H10O2/c1-4-8-6(7)5(2)3/h2,4H2,1,3H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 293.15 |
experimental value |
| 302.28 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 295.67 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 292.59 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 295.89 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 296.61 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| -1.7 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| 0.05 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 10.23 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 33.59 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID1025308 | US EPA CompTox Dashboard |