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: | 703 | |
|---|---|---|
| Name: | prop-2-enylcyclopentane | |
| Description: | ||
| Labels: | Naphtenes | |
| CAS: | ||
| InChi Code: | InChI=1S/C8H14/c1-2-5-8-6-3-4-7-8/h2,8H,1,3-7H2 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 285 |
experimental value |
| 293.59 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 278.54 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 292.47 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 280.61 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 286.31 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 37.74 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| 16.29 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 22.63 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 16.71 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |