Computational Modelling — Understanding the mechanism of high capacitance in nickel hexaaminobenzene-based conductive metal-organic frameworks in aqueous electrolytes

Measurement evidence

Computational Modelling

Understanding the mechanism of high capacitance in nickel hexaaminobenzene-based conductive metal-organic frameworks in aqueous electrolytes · Lukatskaya M.R., Feng D., Bak S.-M. et al. · ACS Nano · 2020 · 15919-15925

1 measurement group · 5 results

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

Post hoc calculation of EDL capacitance contribution and theoretical surface redox-active-site fraction

NiHAB powder · Powder

EDL contribution calculated as Cdl = CA*A using CA ~20 uF/cm2 and measured/estimated surface area; active-site fraction calculated from crystallographic NiHAB model visualised in Mercury v2020.1 with isotropic right-circular-bicone particle assumption.

Geometry
model of particle geometry
Context
Pristine NiHAB framework model constrained by electrochemical utilisation.
Measurement source
S2 · Supporting Information · Figure S5
PropertyReported valueNormalised valueUncertaintyOrigin and qualitySource
Areal capacitance assumption for EDL contribution~20 uF/cm2Text
Approximate
S2 · Supporting Information
Estimated double-layer contribution to total capacitance<5% of the capacitance0.05 fraction upper boundupper boundText
Approximate
15921 · Results and Discussion · Figure S2
Experimental fraction of theoretical capacity12.5% of the theoretical capacity0.125 fractionCalculated From Reported
Approximate
15921 · Results and Discussion · Figure 1f; Figure S5
Particle size inferred from 12.5% surface-active-site utilisation25 nmCalculated From Reported
Approximate
S2 · Supporting Information · Figure S5
Theoretical electron capacity per repeat uniteach Ni3C12N12H9 can accept 8e-Calculated From Reported
Approximate
15921 · Results and Discussion · Figure 1f