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:28
Name:CDC-TiC-1496
Description:
Labels:
CAS:
InChi Code:

Properties

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

ValueSource or prediction
94.1

experimental value

87.85235

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

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

ValueSource or prediction
71.6

experimental value

79.31721

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