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: | 287 | |
|---|---|---|
| Name: | 3-phenylpropan-1-ol | |
| Description: | ||
| Labels: | Aromatics, (Oxygenates) | |
| CAS: | ||
| InChi Code: | InChI=1S/C9H12O/c10-8-4-7-9-5-2-1-3-6-9/h1-3,5-6,10H,4,7-8H2 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 373.15 |
experimental value |
| 387.62 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 376.01 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 379.99 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 379.61 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 380.81 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 17.21 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| -0.57 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 0.32 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 32.29 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID6041638 | US EPA CompTox Dashboard |