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: | 783 | |
|---|---|---|
| Name: | 2,3-dimethylbuta-1,3-diene | |
| Description: | ||
| Labels: | Olefins | |
| CAS: | ||
| InChi Code: | InChI=1S/C6H10/c1-5(2)6(3)4/h1,3H2,2,4H3 |
Properties
FP: Flash point [K]
| Value | Source or prediction |
|---|---|
| 251.15 |
experimental value |
| 249.86 |
FP_PLS-MD: PLS-MD model for flash point (Training set) |
| 249.34 |
FP_SVM-GD: SVM-GD model for flash point (Training set) |
| 244.66 |
FP_NN-MD: NN-MD model for flash point (Training set) |
| 246.06 |
FP_NN-GD: NN-GD model for flash point (Training set) |
| 247.48 |
FP_consensus: Consensus model for flash point (Training set) |
CN: Cetane number
| Value | Source or prediction |
|---|---|
| -1.49 |
CN_SVM-GD: SVM-GD model for cetane number (Prediction set) |
| -4.81 |
CN_SVM-MD: SVM-MD model for cetane number (Prediction set) |
| -4.31 |
CN_NN-MD: NN-MD model for cetane number (Prediction set) |
| -0.56 |
CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set) |
Links to External Resources
| Link | Resource description |
|---|---|
| DTXSID2022046 | US EPA CompTox Dashboard |