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: | 26 | |
|---|---|---|
| Name: | 2,2-diethylpropane-1,3-diol | |
| Description: | ||
| Labels: | Alcohols | |
| CAS: | ||
| InChi Code: | InChI=1S/C7H16O2/c1-3-7(4-2,5-8)6-9/h8-9H,3-6H2,1-2H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 374.15 |
experimental value |
| 362.62 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 392.34 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 391.77 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 395.79 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 385.63 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 23.9 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| -5.67 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| -15.24 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 31.65 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID50150923 | US EPA CompTox Dashboard |