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:56
Name:CDC_Al52PT
Description:
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InChi Code:

Properties

Cv_pos: Volumetric anodic capacitance [F cm-3]

ValueSource or prediction
72.2

experimental value

76.8849

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

Cv_neg: Volumetric cathodic capacitance [F cm-3]

ValueSource or prediction
69

experimental value

70.4726

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

70.5133

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

70.6749

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

70.6818

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