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: | 1039 | |
|---|---|---|
| Name: | 3,3-dimethyloctane | |
| Description: | ||
| Labels: | Paraffins | |
| CAS: | ||
| InChi Code: | InChI=1S/C10H22/c1-5-7-8-9-10(3,4)6-2/h5-9H2,1-4H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 314 |
experimental value |
| 304.57 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 309.29 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 304.89 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 309.52 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 307.06 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| 58.73 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| 31.99 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| 46.75 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| 36.87 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID20194051 | US EPA CompTox Dashboard |