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Käärik, M.; Arulepp, M.; Käärik, M.; Maran, U.; Leis, J. Characterization and prediction of double-layer capacitance of nanoporous carbon materials using the Quantitative nano-Structure-Property Relationship approach based on experimentally determined porosity descriptors. Carbon 2019.

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Käärik, M.; Arulepp, M.; Käärik, M.; Maran, U.; Leis, J. Characterization and prediction of double-layer capacitance of nanoporous carbon materials using the Quantitative nano-Structure-Property Relationship approach based on experimentally determined porosity descriptors. Carbon 2019.

QDB archive DOI: 10.15152/QDB.210   DOWNLOAD

QsarDB content

Property Exp_C_CV,g: Gravimetric cathodic capacitance [F/g]

Compounds: 110 | Models: 1 | Predictions: 1

Eq.9: Model for gravimetric cathodic capacitance

Regression model (regression)

Open in:QDB Explorer QDB Predictor

Name Type n

R2

σ

Traning set training 110 0.913 7.310

Property Exp_C_CV,vol: Volumetric cathodic capacitance [F/cm3]

Compounds: 110 | Models: 1 | Predictions: 1

Eq.10: Model for volumetric cathodic capacitance

Regression model (regression)

Open in:QDB Explorer QDB Predictor

Name Type n

R2

σ

Training set training 110 0.946 5.086

Citing

When using this QDB archive, please cite (see details) it together with the original article:

  • Käärik, M.; Arulepp, M.; Käärik, M.; Maran, U.; Leis, J. QDB archive #210. QsarDB repository, 2019. http://dx.doi.org/10.15152/QDB.210

  • Käärik, M.; Arulepp, M.; Käärik, M.; Maran, U.; Leis, J. Characterization and prediction of double-layer capacitance of nanoporous carbon materials using the Quantitative nano-Structure-Property Relationship approach based on experimentally determined porosity descriptors. Carbon 2019, http://dx.doi.org/10.1016/j.carbon.2019.11.017

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dc.date.accessioned 2019-11-06T12:01:28Z
dc.date.available 2019-11-06T12:01:28Z
dc.date.issued 2019-11-06
dc.identifier.uri http://hdl.handle.net/10967/210
dc.identifier.uri http://dx.doi.org/10.15152/QDB.210
dc.description.abstract The development of nanoporous carbon-based energy storage is a fast-growing area. To assist these developments, it is necessary to establish simple criteria and relationships between electric double-layer (EDL) capacitance and the nature of porous carbon used as an electrode material. Under special attention is carbide-derived carbon (CDC) due to high content of micropores and well tunable pore size distribution. In the current study, experimentally determined structure descriptors were compiled for 110 CDC materials, and the Quantitative nano-Structure-Property Relationship (QnSPR) approach was used for the statistical analysis and modelling of the EDL capacitance. Experimentally determined structure descriptors – the variable numeric porosity characteristics of CDC materials, were determined from N2 and CO2 adsorption measurements. Electrochemical characterization of CDC based electrodes was performed in 3-electrode test-cells using carbon reference electrode and 1.5 M spiro-(1,1')-bipyrrolidinium tetrafluoroborate (SBP-BF4) in acetonitrile as the electrolyte. It was shown that combining experimentally derived molecular descriptors of porosity, like specific surface area and volume-fractions of pore size distribution, calculated by density functional theory, allows accurate prediction of EDL capacitance. The QnSPR-s describing the gravimetric (R2=0.91) and the volumetric cathodic capacitance (R2=0.95) were developed for the nanoporous carbon in SBP-BF4 electrolyte.
dc.publisher Maike Käärik
dc.publisher Mati Arulepp
dc.publisher Meelis Käärik
dc.publisher Uko Maran
dc.publisher Jaan Leis
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.title Käärik, M.; Arulepp, M.; Käärik, M.; Maran, U.; Leis, J. Characterization and prediction of double-layer capacitance of nanoporous carbon materials using the Quantitative nano-Structure-Property Relationship approach based on experimentally determined porosity descriptors. Carbon 2019.
qdb.property.endpoint 6. Other (Double-layer capacitance) en_US
qdb.descriptor.application TouchWin 1.1
qdb.prediction.application R 3.5.2
bibtex.entry article en_US
bibtex.entry.author Käärik, Maike
bibtex.entry.author Arulepp, Mati
bibtex.entry.author Käärik, Meelis
bibtex.entry.author Maran, Uko
bibtex.entry.author Leis, Jaan
bibtex.entry.doi 10.1016/j.carbon.2019.11.017 en_US
bibtex.entry.journal Carbon en_US
bibtex.entry.title Characterization and prediction of double-layer capacitance of nanoporous carbon materials using the Quantitative nano-Structure-Property Relationship approach based on experimentally determined porosity descriptors. en_US
bibtex.entry.year 2019
qdb.model.type Regression model (regression) en_US


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