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: | 356 | |
|---|---|---|
| Name: | 2,3-di(hexadecanoyloxy)propyl hexadecanoate | |
| Description: | ||
| Labels: | Esters | |
| CAS: | ||
| InChi Code: | InChI=1S/C51H98O6/c1-4-7-10-13-16-19-22-25-28-31-34-37-40-43-49(52)55-46-48(57-51(54)45-42-39-36-33-30-27-24-21-18-15-12-9-6-3)47-56-50(53)44-41-38-35-32-29-26-23-20-17-14-11-8-5-2/h48H,4-47H2,1-3H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 1053.48 |
FP_PLS-MD: PLS-MD model for flash point (Prediction set) |
| 386.13 |
FP_SVM-GD: SVM-GD model for flash point (Prediction set) |
| 403.56 |
FP_NN-MD: NN-MD model for flash point (Prediction set) |
| 484.14 |
FP_NN-GD: NN-GD model for flash point (Prediction set) |
| 581.84 |
FP_consensus: Consensus model for flash point (Prediction set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 89 |
experimental value |
| 89.27 |
CN_SVM-GD: SVM-GD model for cetane number (Training set) |
| 89.26 |
CN_SVM-MD: SVM-MD model for cetane number (Training set) |
| 90.74 |
CN_NN-MD: NN-MD model for cetane number (Training set) |
| 89 |
CN_GRNN-MD: GRNN-MD model for cetane number (Training set) |