Computational Modelling — Strategies to enhance electrochemical performance of isoreticular 2d conjugated metal correlated organic frameworks via transition metals intercalation for battery-supercapacitor hybrids

Measurement evidence

Computational Modelling

Strategies to enhance electrochemical performance of isoreticular 2d conjugated metal correlated organic frameworks via transition metals intercalation for battery-supercapacitor hybrids · Iqbal M.Z., Shaheen M., Siddique S. et al. · Journal of Energy Storage · 2023 · 107361

2 measurement groups · 10 results

Reported values remain attached to the sample, method, conditions, extraction quality and source location that produced them.

Dunn's model fit to CV currents

Cu-MOF//AC hybrid supercapacitor · Electrode

Regression parameters k1 and k2 and separated capacitive/diffusive currents at scan rates including 3, 60 and 100 mV/s.

Geometry
Two-electrode asymmetric hybrid device
Context
MOF//AC composite device
Measurement source
8 · 3.3. Evaluation of Ni-MOF and Cu-MOF based battery-supercapacitor hybrids · Fig. 9
PropertyReported valueNormalised valueUncertaintyOrigin and qualitySource
Cu-MOF//AC capacitive contribution at 100 mV/sapproximately 72%visual estimate from rendered Fig. 9dFigure Axis
Approximate
8 · 3.3. Evaluation of Ni-MOF and Cu-MOF based battery-supercapacitor hybrids · Fig. 9d
Cu-MOF//AC capacitive contribution at 3 mV/sapproximately 26%visual estimate from rendered Fig. 9dFigure Axis
Approximate
8 · 3.3. Evaluation of Ni-MOF and Cu-MOF based battery-supercapacitor hybrids · Fig. 9d
Cu-MOF//AC diffusive contribution at 100 mV/sapproximately 53%visual estimate from rendered Fig. 9dFigure Axis
Approximate
8 · 3.3. Evaluation of Ni-MOF and Cu-MOF based battery-supercapacitor hybrids · Fig. 9d
Cu-MOF//AC diffusive contribution at 3 mV/sapproximately 99%visual estimate from rendered Fig. 9dFigure Axis
Approximate
8 · 3.3. Evaluation of Ni-MOF and Cu-MOF based battery-supercapacitor hybrids · Fig. 9d
Dunn k1/k2 stability interpretationCu-MOF//AC shows slower switching in k1/k2 and is interpreted as more stable.Text
Qualitative
7 · 3.3. Evaluation of Ni-MOF and Cu-MOF based battery-supercapacitor hybrids · Fig. 7

Dunn's model fit to CV currents

Ni-MOF//AC hybrid supercapacitor · Electrode

Regression parameters k1 and k2 and separated capacitive/diffusive currents at scan rates including 3, 60 and 100 mV/s.

Geometry
Two-electrode asymmetric hybrid device
Context
MOF//AC composite device
Measurement source
7 · 3.3. Evaluation of Ni-MOF and Cu-MOF based battery-supercapacitor hybrids · Fig. 7 and Fig. 8
PropertyReported valueNormalised valueUncertaintyOrigin and qualitySource
Ni-MOF//AC capacitive contribution at 100 mV/sapproximately 47%visual estimate from rendered Fig. 8dFigure Axis
Approximate
7 · 3.3. Evaluation of Ni-MOF and Cu-MOF based battery-supercapacitor hybrids · Fig. 8d
Ni-MOF//AC capacitive contribution at 3 mV/sapproximately 12%visual estimate from rendered Fig. 8dFigure Axis
Approximate
7 · 3.3. Evaluation of Ni-MOF and Cu-MOF based battery-supercapacitor hybrids · Fig. 8d
Ni-MOF//AC diffusive contribution at 100 mV/sapproximately 64%visual estimate from rendered Fig. 8dFigure Axis
Approximate
7 · 3.3. Evaluation of Ni-MOF and Cu-MOF based battery-supercapacitor hybrids · Fig. 8d
Ni-MOF//AC diffusive contribution at 3 mV/sapproximately 98%visual estimate from rendered Fig. 8dFigure Axis
Approximate
7 · 3.3. Evaluation of Ni-MOF and Cu-MOF based battery-supercapacitor hybrids · Fig. 8d
Dunn k1/k2 relative magnitudeHigher magnitude of both k1 and k2 for Ni-MOF//AC indicates high currents.Text
Qualitative
7 · 3.3. Evaluation of Ni-MOF and Cu-MOF based battery-supercapacitor hybrids · Fig. 7