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: | 667 | |
|---|---|---|
| Name: | cyclododeca-1,5,9-triene | |
| Description: | ||
| Labels: | Naphtenes | |
| CAS: | ||
| InChi Code: | InChI=1S/C12H18/c1-2-4-6-8-10-12-11-9-7-5-3-1/h1-2,7-10H,3-6,11-12H2 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 360.15 |
experimental value |
| 351.59 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 358.35 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 355.05 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 358.05 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 355.76 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 29.28 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| 35.48 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 27.63 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 10.9 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID8027581 | US EPA CompTox Dashboard |