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:56
Name:CDC-TiC-pt-1756
Description:
Labels:
CAS:
InChi Code:

Properties

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

ValueSource or prediction
93.90714

experimental value

96.08692

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

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

ValueSource or prediction
92.6898

experimental value

86.81922

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