10967/205 - QDB Compounds

QsarDB Repository

Käärik, M.; Maran, U.; Arulepp, M.; Perkson, A.; Leis, J. Quantitative nano-structure-property relationships for the nanoporous carbon: Predicting the performance of energy storage materials. ACS Appl. Energy Mater. 2018, 1, 4016-4024

Compound

ID:95
Name:CDC_Al9PT
Description:
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InChi Code:

Properties

Cv_pos: Volumetric anodic capacitance [F cm-3]

ValueSource or prediction
39.1

experimental value

45.7684

Tab1-2: Two-parameter model for volumetric anodic capacitance (SetA) (Training set)

Cv_neg: Volumetric cathodic capacitance [F cm-3]

ValueSource or prediction
38.4

experimental value

42.9523

Tab1-8: Two-parameter model for volumetric cathodic capacitance (SetA) (Training set)

41.4854

Tab2: Three-parameter model for volumetric cathodic capacitance - main model (SetA) (Training set)

41.3153

SetB: Three-parameter model to verify influence of impurities from TiO2 derivatives (SetB) (Training set)

40.7287

Tab3: Three-parameter model to verify influence of H2O-activation of nanopores (SetC) (Training set)