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:49
Name:CDC-TiC-1693
Description:
Labels:
CAS:
InChi Code:

Properties

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

ValueSource or prediction
116.63866

experimental value

114.69331

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

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

ValueSource or prediction
108.40336

experimental value

103.96565

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