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: | 484 | |
|---|---|---|
| Name: | isopentyl isopentanoate | |
| Description: | ||
| Labels: | Esters | |
| CAS: | ||
| InChi Code: | InChI=1S/C10H20O2/c1-8(2)5-6-12-10(11)7-9(3)4/h8-9H,5-7H2,1-4H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 345 |
experimental value |
| 336.15 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 343.19 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 347.27 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 339.41 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 341.5 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 68.17 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| 29.52 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 44.87 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 34.24 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID8044757 | US EPA CompTox Dashboard |