10967/275 - QDB Compounds

QsarDB Repository

Käärik, M.; Arulepp, M.; Maran, U.; Leis, J. Machine learning-assisted QnSPR study of structurally diverse nanoporous carbon materials and their capacitive behavior in dilute ionic liquid electrolyte. J. Mater. Sci. 2026, Published.

Compound

ID:11
Name:CDC-SiC-ct-1114
Description:
Labels:
CAS:
InChi Code:

Properties

C-vol(exp): cathodic volumetric capacitance [F/cm3]

ValueSource or prediction
66.7766

experimental value

69.45642

Eq4: best model for cathodic volumetric capacitance (predicted anodic volumetric capacitance)

C+vol(exp): anodic volumetric capacitance [F/cm3]

ValueSource or prediction
64.49362

experimental value

60.18734

Eq5: best model for anodic volumetric capacitance (predicted anodic volumetric capacitance)