Abstract
We present a theoretical analysis of charge storage in electrochemical capacitors with electrodes based on carbon nanotubes. Using exact analytical solutions supported by Monte Carlo simulations, we show how the limitations of the electron density of states in such low-dimensional electrode materials may help boost the energy stored at increased voltages. While these counterintuitive predictions await experimental verification, they suggest exciting opportunities for enhancing energy storage by rational engineering of the electronic properties of low-dimensional electrodes.
Since the pioneering work by Gerischer1 on electrical double-layer (EDL) capacitors with graphite electrodes, it has become clear that the ability to accommodate electrons subject to the available density of states (DOS) in an electrode influences its electrochemical properties. The limitations of the electron DOS are particularly strong in low-dimensional electrode materials, for example, those based on graphene sheets or carbon nanotubes. Such limitations lead to the so-called quantum capacitance, the quantity controlling the ability to accumulate charge on the electrode in response to the electrode’s potential,2 that can dramatically affect the total capacitance of an electrode–electrolyte system. With the boom in the use of various forms of low-dimensional nanostructured electrode materials,3,4 it is evident that each type of such an electrode may have its own electron DOS, and hence, the quantum capacitance should be considered separately for each case study. Nevertheless, in many simulation and theoretical studies, supercapacitor electrodes have still been modeled as perfect metals characterized by infinite quantum capacitance.
Studies of the effects of finite quantum capacitance have been mainly limited to flat electrodes5−8 and electrolytes outside of carbon nanotubes (CNTs).9−12 The main conclusion was that the quantum capacitance decreases the total capacitance. This conclusion supposedly follows from the capacitance in series expression C–1 = Cq–1 + CIL–1 applied to an electrode–electrolyte system, where C is the total capacitance and Cq and CIL are the quantum and EDL capacitances, respectively. It suggests that a finite Cq decreases the total capacitance C and hence energy storage, motivating researchers to seek methods for enhancing the quantum capacitance.13−15
Herein, we show for singe-wall carbon nanotubes (CNTs) that a nontrivial distribution of the electrostatic potential between the nanotube and electrolyte subsystems may lead to counterintuitive effects such as an enhancement of the capacitance and energy storage at increased voltages due to low quantum capacitance. Moreover, we demonstrate that, perhaps surprisingly, semiconducting CNTs can also increase the stored energy density at reasonably high (experimentally achievable) applied voltages.
Modeling real CNT-based electrodes16−18 is computationally challenging and requires the solution of a nontrivial quantum mechanical problem to find the distribution of electrons and electrostatic potential in the system. In this work, we consider a more straightforward problem when a potential u is applied at the outer surfaces of the nanotubes (Figure 1a). We assume that u is constant along the nanotube and use the analytical expression by Mintmire and White19 for the CNT’s DOS to compute the electric charge and quantum capacitance Cq as functions of gate voltage uq (section S1 of the Supporting Information). The Mintmire–White formula provides an appropriate description for the DOS in most cases and compares favorably with quantum density functional theory (DFT) and other calculations.19,20Figure 1b shows two typical examples. For a metallic or quasi-metallic CNT, the capacitance Cq (per surface area) is constant in the first subband, exhibits a peak at its boundary due to the van Hove singularity of the DOS,19 attains a nearly constant value in the second subband, etc. For a semiconducting CNT, the behavior is similar; however, the capacitance is zero inside the band gap, and the locations and widths of the subbands are different.
To compute the accumulated ionic charge and EDL capacitance CIL, we consider narrow CNTs accommodating only single rows of ions. Charging such single-file nanotubes can be described by one-dimensional (1D) analytical models.21−26 Most of these models assume that only nearest ions interact with each other, allowing the development of reliable, analytically tractable solutions for the charge density and capacitance. The nearest-neighbor assumption is reasonable given the confined ions are in the superionic state,27 meaning that electrostatic interactions are exponentially screened by the charge carriers of the confining walls.27−31 A recently developed 1D continuum model has an exact solution, which agrees quantitatively well with three-dimensional (3D) Monte Carlo (MC) simulations in a wide range of parameters26 (section S2). In Figure 1c, we present two typical examples of CIL for an ionophilic and ionophobic pore, obtained by the exact solution (lines) and MC simulations (symbols), showing a decent agreement. The ionophilicity was controlled by the ion chemical potential (inset of Figure 1c and Figure S1), in which we included the ion’s electrostatic and dispersion interactions with the pore walls26,32 (section S2). The capacitance exhibits a maximum at (usually) non-zero voltage and decays quickly to zero with an increase in voltage as the nanotube becomes saturated with counterions.
To obtain the total capacitance C, we applied the charge electroneutrality condition to a CNT–electrolyte system
1 |
where Qq is the electric charge of the nanotube and QIL is the accumulated ionic charge, both per surface area, uq = u – uIL is the potential drop at the CNT wall, and uIL is the potential at the inner CNT surface as seen by the confined ions (Figure 1a). Note that a positive uq induces a positive charge on the CNT wall, i.e., Qq(uq > 0) > 0, while a positive uIL yields a negative ionic charge inside the nanotube, i.e., QIL(uIL > 0) < 0 (see section S1B). Having analytical expressions for Qq and QIL, we solved eq 1 numerically to find uq and hence Q(u). The total capacitance of the CNT-electrolyte system (per surface area) is C = dQ/du.
As an example, we consider a CNT with chiral indices n1 = n2 = 7 [i.e., (7,7) CNT], which is a metallic armchair nanotube with a radius of ≈0.47 nm. We chose the parameters such that the nonpolarized CNT is moderately filled with ions (Figure 1c). Figure 2a shows potentials uq and uIL = u – uq as functions of voltage u applied to the CNT with respect to the bulk electrolyte. We find that uq increases more strongly with u than uIL does and eventually saturates at high voltages, while uIL remains low and starts increasing only at u ≈ 1 V (Figure 2a). Because Cq ≪ CIL at low voltages, the CNT wall requires a much higher voltage to achieve the same charge as the ionic system at a relatively low uIL. Of course, the resulting total capacitance is smaller than Cq and CIL and, in fact, satisfies
2 |
Figure 2b shows Cq and CIL evaluated at uq and uIL, respectively, and the total capacitance C(u). Because uIL < u, the EDL capacitance (CIL) stretches to larger applied potential differences (compare Figure 2b with Figure 1c or 2c), which has important consequences for energy storage, as we discuss below.
In Figure 2c, we compare the total capacitance of the (7,7) CNT and the same-sized nanotube with perfectly metallic walls; the latter assumes the infinite quantum capacitance and corresponds to the EDL capacitance alone. In line with previous work,5−9,11,12 the total capacitance is drastically reduced compared to the EDL capacitance due to the low quantum capacitance. However, this reduction occurs only at low voltages. At intermediate and high voltages, the capacitance of an ion-filled metallic nanotube practically vanishes because the nanotube becomes saturated with counterions. In contrast, the total capacitance of an ion-filled CNT is non-zero and remains relatively high up to ∼1.5 V.
We also calculated the energy stored in the nanotubes, which is given by
3 |
Figure 2d shows that the metallic nanotube slightly outperforms the CNT at low voltages, but it falls far behind as the voltage increases. The stored energy nearly doubles at 1 V and triples at 2 V compared to that of the metallic nanotube. We observed similar behavior for other parameters (Figures S2 and S3), though the magnitude of the effect varied.
In addition to metallic CNTs, we also considered semiconducting CNTs. Such CNTs have zero quantum capacitance and charge carrier density inside the band gap, i.e., at voltages below the first van Hove singularity [uvH ≈ 0.4 V for the (10,3) CNT of Figure 1c]. Note that the absence of charge carriers in the band gap implies that there is no image-charge effect, i.e., no screening of ion–ion interactions inside the nanotube in this voltage range. Increasing the gate voltage above uvH shifts the Fermi energy of electrons and leads to a non-zero charge carrier density, giving rise to non-zero quantum capacitance and screened ionic interactions. For the sake of simplicity, we assumed the same screening for u > uvH as for a metallic nanotube of the same radius. Although the actual screening might be slightly different, we do not expect any significant changes to our results. Bearing this in mind, we proceeded similarly as with metallic CNTs to calculate the total capacitance and stored energy density.
Unlike the charging of perfectly metallic nanotubes, a semiconducting CNT commences to charge at a non-zero voltage u ≈ uvH. Correspondingly, the accumulated charge, capacitance, and stored energy density vanish for u < uvH (Figure 3). This behavior is reminiscent of ionophobic pores.22,33,34 Such pores are free of ions until a sufficiently high voltage is applied to overcome the ionophobicity barrier, which effectively shifts the charging to higher voltages, thereby enhancing energy storage according to eq 3.
A semiconducting nanopore is not necessarily empty. However, the vanishing quantum capacitance at low voltages shifts the charging process to voltages above uvH. Because of this shift, the energy stored in an ion-filled semiconducting CNT at moderate and high voltages is a few times higher than in the metallic nanotube of the same radius (Figure 3c), as more work is needed to charge it. This outcome is in line with the “pressing-the-spring” concept of ref (33).
To conclude, we have shown that, contrary to the traditional view, the low quantum capacitance of nanoporous electrodes can enhance energy storage by shifting the charging to higher voltages. We focused on narrow CNTs because of the available analytical solutions, allowing systematic and reliable analysis of the electrode charging under a wide range of applied voltages. However, similar principles can apply to other nanoporous electrodes. Thus, our results suggest, quite generally, “spoiling” a high-quantum capacitance electrode to enhance its energy storage at increased voltages, at which the EDL capacitance is low or vanishes. There are two main ingredients of this enhancement:
-
(1)
The first is high EDL capacitance (CIL), which vanishes or decreases at moderate or high potential differences. Indeed, not only theory33,35,36 but also experimental work37 shows the reduced capacitance at high voltages (≳1 V) due to nanopore saturation.
-
(2)
The second is small quantum capacitance (Cq ≪ CIL), or even vanishing Cq at low voltages. One example we have discussed is a CNT. Other low-dimensional materials, such as graphene-based electrodes, also have a small quantum capacitance.38 The quantum capacitance of carbon materials can be altered, e.g., via doping, but instead of enhancing,13−15 the goal is to reduce it.
Thus, we have demonstrated that exploiting the properties of quantum capacitance of low-dimensional electrodes can provide exciting opportunities to enhance capacitive energy storage even several times. With that said, the results of this work are still preliminary and await experimental verification. The predictions of the ideal theory can be affected by a pore size distribution of carbon electrodes,39 the carbonic nature of screening the ion–ion interactions inside pores,29,31 the pore shape and size,25,40,41 interpore ion–ion interactions,42 electron–electron correlations,43 and modification of the density of state of CNTs by in-pore ions44,45 and neighboring CNTs.20 However, we expect these factors to affect our main conclusions quantitatively but not qualitatively. We thus hope our results motivate further computational and experimental work with the ultimate goal of improving the energy storage ability of these ecologically friendly devices.
Acknowledgments
The authors are grateful to Zachary A. H. Goodwin and Benjamin Rotenberg for critical reading of the manuscript and fruitful suggestions. S.K. acknowledges the financial support by NCN Grants 2020/39/I/ST3/02199 and 2021/40/Q/ST4/00160. A.K. thanks the Ministry of Education and Science of Ukraine for Grant FF-27F (No. 0122U001558 ). S.K. and A.A.K. thank the Engineering and Physical Sciences Research Council for Grant EP/H004319/1 that supported them during the initial stage of research in this area.
Supporting Information Available
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jpclett.2c02968.
The authors declare no competing financial interest.
Supplementary Material
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