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:72
Name:CDC_Al5
Description:
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InChi Code:

Properties

Cv_pos: Volumetric anodic capacitance [F cm-3]

ValueSource or prediction
67.1

experimental value

69.9147

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

Cv_neg: Volumetric cathodic capacitance [F cm-3]

ValueSource or prediction
61.6

experimental value

64.5441

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

65.0314

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

65.288

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

65.1706

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