Shuo
Feng
ab,
Rajesh Kumar
Singh
a,
Yucheng
Fu
c,
Zhuo
Li
de,
Yulong
Wang
de,
Jie
Bao
a,
Zhijie
Xu
c,
Guosheng
Li
a,
Cassidy
Anderson
a,
Lili
Shi
a,
Yuehe
Lin
b,
Peter G.
Khalifah
de,
Wei
Wang
a,
Jun
Liu
a,
Jie
Xiao
a and
Dongping
Lu
*a
aEnergy and Environmental Directorate, Pacific Northwest National Laboratory, Richland, WA, USA. E-mail: dongping.lu@pnnl.gov
bSchool of Mechanical and Materials Engineering, Washington State University, Pullman, WA, USA
cPhysical and Computational Science Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
dDepartment of Chemistry, Stony Brook University, Stony Brook, NY, USA
eDepartment of Chemistry, Brookhaven National Laboratory, Upton, NY, USA
First published on 29th July 2022
Reducing cathode porosity is essential to balancing the electrolyte distribution in lithium–sulfur (Li–S) cells, conserving more pore-filling electrolyte to extend cell cycle life. However, low-porosity electrodes built with nanosized sulfur/carbon (S/C) materials suffer from high tortuosity that significantly deteriorates electrode wetting and hence sulfur utilization. Enabling operation of high-loading sulfur electrodes under both low-porosity and lean-electrolyte conditions is still a challenge and is seldom discussed. In this study, we demonstrated a facile strategy for constructing low-tortuosity through-pores across both vertical and planar directions of electrodes by casting large particles into single-particle-layer electrodes. Through multi-scale characterizations and simulations, correlations between material/electrode structures, electrolyte permeability, polysulfide migration, and sulfur reactions were elucidated. The high-loading and dense sulfur cathode fabricated by this method delivers a high specific capacity (>1000 mA h g−1) at a very low electrolyte/sulfur (E/S) ratio of 4 μL mg−1. This study provides a practical approach to reducing the tortuosity of dense sulfur electrodes by manipulating the porosity distribution, which would be also applicable to improving the rate capability of other high-energy electrodes.
Broader contextThe lithium–sulfur (Li–S) battery holds great promise for vehicle electrification and grid energy storage due to its high theoretical energy density while maintaining a low cost. Existing barriers of the technology are the low cell-level volumetric energy density and limited cycle life; both are related to the use of highly porous sulfur electrodes (porosity ∼ 70%). However, for dissolution-reaction based Li–S batteries, reducing cathode porosity not only leads to a poor electrolyte wetting but a heterogeneous reaction throughout the entire cells, both of which will drastically affect batteries’ performance. Such consequences will be further exaggerated in practical conditions, with an electrolyte to sulfur ratio lower than 4 μL mg−1, for example. In this work, we determined that an optimized electrode architecture is extremely important to realize a high-energy Li–S battery. Combined with simulation and multiscale characterizations, a clear understanding of the effects that electrode structure has on electrolyte infiltration, sulfur reaction kinetics and failure mechanism is elucidated under realistic test conditions, bridging the material- and electrode-level discoveries for high-energy Li–S batteries. |
Nevertheless, reducing cathode porosity usually results in a highly tortuous electrode, in which electrolyte wetting becomes a significant challenge.23 For a Li–S cell based on sulfur dissolution–deposition reactions, lack of electrolyte wetting leads to both poor sulfur conversion kinetics and a low utilization rate.23–25 To build low tortuosity electrode architectures, many methods have been adopted1,26 including using magnetic templates,27 freeze drying,28,29 laser patterning30 or vertically-aligned-graphene based free-standing electrode.31 Open-throat pores can form a low-tortuosity structure and provide highways for electrolyte transport but these methods usually result in high porosity of electrode which lowers cell level energy density significantly. In addition, the complicated electrode processing or removal of the pore-forming templates decreases the feasibility of these approaches in practical applications. Moreover, for an Li–S battery which involves LiPS dissolution and diffusion, i.e., LiPS shuttling, an electrode structure with evenly distributed low tortuosity may accelerate the LiPS outflow and loss. So, the architecture of sulfur cathode needs to be optimized to balance the electrode wetting and LiPS shuttling. So far, practical sulfur cathodes that simultaneously fulfill high-sulfur-loading and low-porosity requirements have seldom been reported. Here, we report a facile preparation of low-tortuosity single-particle-layer electrode by aligning large-size secondary S/C particles and elucidate that (1) the low-tortuosity through pores of single-particle-layer electrode enhance electrolyte infiltration in dense electrode globally and (2) the high inside-tortuosity of large secondary S/C particles helps suppress LiPS shuttling locally. When porosity is reduced to as low as ∼45%, which is among the lowest porosities reported in recent literature,25,32 the cathode can still deliver a high discharge capacity of 4 mA h cm−2 (1001 mA h g−1), even at a very low E/S ratio of 4 μL mg−1, thereby providing a decent basis for the development of practical high-energy Li–S cells.
In practice, enabling operation of a dense electrode under practical conditions (e.g., sulfur loading ≥ 4 mg cm−2, E/S ratio ≤ 4 μL mg−1) is quite challenging. First, decreasing the electrode porosity will result in more serious LiPS outflow due to the elevated LiPS concentration gradient of the dense electrode. For example, under flooded electrolyte conditions (E/S = 10 μL mgs−1), the high-porosity electrode (72%) can hold up to 21.8 v% of total electrolyte, which decreases remarkably to only 6.8 v% in a 44.7%-porosity electrode (Fig. S1c, (ESI†) the detailed calculation can be found in Table S2, ESI†). A consequence of such change is a higher LiPS concentration in the lower-porosity electrode. Driven by the elevated concentration gradient, more LiPS is prone to diffuse out of the electrode, exacerbating the shuttling effect. This phenomenon can be moderated by decreasing the electrolyte amount.33 For a 44.7%-porosity electrode, the electrolyte portion inside the electrode increases from 6.8 v% to 16.9 v% if the E/S ratio is decreased from 10 μL mgs−1 to 4 μL mgs−1 (Fig. S1d, ESI†). Second, for sulfur electrodes composed of nanocarbon materials, when reducing the electrode porosity, the loosely packed nanoparticles will intimately contact each other and form a high-tortuosity electrode with narrower or even disconnected channels.34 This will reduce the electrode's accessibility to electrolyte (especially under lean-electrolyte conditions)23,25,35 and lead to two more consequences: (1) only sulfur at the surface can quickly access electrolyte to participate in redox reactions, and (2) the generated Li2S and Li2S2 preferentially deposit on the electrode surface regions, blocking the electrode surface and accelerating irreversible capacity loss. Therefore, the fundamental challenges that need to be addressed in a low-porosity sulfur electrode are (1) the poor electrolyte accessibility caused by the highly tortuous electrode structure, (2) the exacerbated shuttling effect due to the increased LiPS concentration gradient, and (3) the early electrode surface passivation caused by Li2S deposition.
Further, a scalar transport simulation was performed to understand LiPS diffusion behaviors in LPC and SPC electrodes. It was revealed that the LPC does not necessarily lead to accelerated LiPS shuttling but better electrode wetting. As shown in Fig. 1c, the same basic structural units were integrated into secondary particles of different sizes, and the resulting LPC and SPC had the identical overall porosities. The initial states of the LPC and SPC are shown in Fig. S3 (ESI†) and both electrodes are fully wetted with electrolyte. Once the simulation started, the LiPS filled the pores inside the secondary particles. Driven by the concentration gradient, the LiPS will migrate outside the secondary particles in the electrode. Fig. 1c and d compare LiPS distribution in the LPC and SPC under intermediate (25 s) and the steady-state conditions, respectively. It is apparent that for large particles, a small proportion of LiPS diffuses out from large particles after 25 s, and a high polysulfide concentration still exists inside the particles. In contrast, within the same time period, small particles show an accelerated polysulfide outflow. Thus, after reaching steady state (the end of simulation, not the end of discharge), the polysulfide concentration in the LPC is higher than that in the SPC at each depth of electrodes (Fig. 1d), indicating suppressed polysulfide shuttling. The distinct polysulfide migration rate is due to the different effective diffusivities of LiPS in the large and small particles. Compared with larger particles, the effective diffusivity of LiPS in small particles is higher at each depth (Fig. S4a, ESI†), so that less time is needed for LiPS diffusion out of the electrode (Fig. S4b, ESI†), thereby resulting in a lower LiPS concentration inside (Fig. S4c, ESI†). In contrast, a larger secondary particle has a longer diffusion pathway from the center to the outer surface. Eventually, LiPS in the LPC has a higher chance to circulate inside the particles, suppressing LiPS shuttling and loss. As illustrated in Fig. 1g and h, the secondary particles form electrolyte diffusion channels, which determine the electrolyte infiltration rate; and the inner surfaces of secondary particles form internal LiPS diffusion pathways, which dictate the LiPS diffusion rate.
As suggested by the simulations, larger secondary particles are desired to enhance electrode wetting while reducing LiPS shuttling. Based on the preceding analysis, it is reasonable to fabricate a single-particle-layer electrode, a special case of LPC, if using the large particles whose sizes are comparable to or even larger than the target electrode thickness (Fig. 1h).
High-sulfur-loading electrodes (4 mg cm−2) can be easily tape-cast using both types of particles and calendered to 60 μm thick (Fig. S8, ESI†). The calculated electrode porosity is around 44.7%, which is among the lowest porosities reported in recent literatures.25,32 Scanning electron microscopy (SEM) characterization indicates that the SPC has a more compact and smoother surface (Fig. 2a); while in LPC, large pores are visible (Fig. 2h). Since shape of large particles is not normal sphere, after the electrode coating and calendaring, some of the large particles were deformed to fit the target electrode thickness of 60 μm. To visualize the electrode structures, X-ray micro-computed tomography (X-ray micro-CT) was used to scan the SPC and LPC. Three phases—S/C particle, binder/carbon additive, and voids—are separated based on the contrast and colored yellow, grey, and blue, respectively in Fig. 2(c–n). In the SPC, small particles tend to stack into a dense multi-particle-layer electrode during slurry coating and under calendering (Fig. 2c and e). In addition, with the spread of the particles along the plane direction under pressure, horizontally aligned pores are formed (Fig. 2d and f). As for the LPC, the cross-section micro-CT results indicate that it is composed of a single layer of particles (Fig. 2k and m) with through pores along both vertical and planar directions, which agrees with the design of single-particle-layer electrode.
To quantify electrode tortuosity in the LPC and SPC, the acquired CT images are reconstructed into 3D models (Fig. 2g and n) and the electrolyte flow patterns are analyzed using CFD simulations to identify the complete channels from electrode surface to current collector. By extracting the streamlines from simulated electrolyte flow paths, electrode tortuosity can be defined as follows: τ = averaged streamline length/electrode thickness. As shown in Fig. 2g, the SPC has an estimated tortuosity of 2.01 along the perpendicular direction. The high tortuosity suggests poor pore connectivity and a higher risk of electrolyte blockage in the SPC. In sharp contrast, the tortuosity in the LPC can be as low as 1.16, which is close to the lowest value (τ =1) in a porous medium. Hence, this proves that the large particles tend to form through-pores, which provides low-tortuosity channels for electrolyte infiltration starting from electrode surface to the bottom. In addition, from the reconstructed 3D models, more electrolyte flow-through channels are observed in the LPC than in the SPC. Besides, the single-particle-layer electrode composed of large particles also has better pore connectivity along the planar direction, thereby benefiting electrolyte transport along the plane direction (Fig. 2j and l).
The LPC and SPC were further examined under lean-electrolyte conditions (E/S = 4 μL mg−1) where the electrolyte infiltration becomes more challenging, especially in a low-porosity cathode. At a relatively high porosity of 62%, the SPC electrodes have almost identical reversible capacities and capacity retention as those of the LPC electrodes (Fig. S11a, ESI†), although polarization is slightly higher in the SPC electrodes. With a decrease of electrode porosity, more deteriorated polarization and capacity decay were observed in the SPC when porosity was decreased to 53%. At an extremely low porosity of 45%, the first discharge capacity dropped to only 451 mA h g−1 (Fig. S11c, ESI†). In contrast, the LPC at 45% porosity still delivered a high specific capacity of 1001 mA h g−1. To avoid the bias among different cathodes, we included the data from six coin cells with the error bar provided (Fig. 3d–f), showing that the LPCs deliver a constant large discharge capacity with high reproducibility at each porosity level, while capacity fluctuation was usually observed in the SPCs, especially at 45% porosity. Such fluctuation indicates insufficient electrolyte wetting and varied wetting status in SPCs.
The electrolyte permeability in the SPC and LPC dense electrodes were studied by tracking the lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) distribution in energy dispersive spectroscopy (EDS) mapping, where fluorine from LiTFSI was used as the tracking reagent. As shown in Fig. 3g and i and Fig. S12, (ESI†) the LPC electrode exhibits a more uniform distribution of fluorine signal than the SPC electrode. Given the same material chemistry and electrolyte, the EIS data before cell cycling can also be an indicator of electrode wetting. Compared to the SPC (Fig. 3h), the LPC (Fig. 3j) shows much smaller resistances for both bulk and overall charge-transfer (Rct). This suggests a better wetting of the LPC electrode. The different electrolyte infiltration in SPC and LPC is not easy to demonstrate a significant impact on sulfur utilization at high porosity electrodes or flooded conditions but it will determine the electrochemical performance in low-porosity electrodes and lean-electrolyte conditions as approved in Fig. 3d–f. The benefits of using the LPC were demonstrated by comparing the energy density of the SPC and LPC under different electrolyte conditions (Fig. S13 and S14, ESI†). For SPC at flooded electrolyte conditions, the volumetric and gravimetric capacities follow the same increasing trend with decrease of porosity. This means if electrolyte wetting is not an issue at flooded electrolyte conditions, sulfur specific capacity increases with decreasing of porosity. However, at lean electrolyte conditions, the electrolyte wetting becomes worse with decrease of porosity, and sulfur specific capacity experiences a first increasing and then decreasing trend, especially at 45%. As a result, both volumetric and gravimetric capacity show a similar first increasing and then decreasing trend. For LPC, a similar increasing trend was observed for volumetric and gravimetric capacity at both flooded and lean electrolyte conditions. From above comparison, the LPC is superior versus SPC at practical lean electrolyte and low porosity conditions.
Both the pristine LPC and SPC have an α-S8 phase but in an amorphous or nanocrystalline state, as supported by the broad and low-intensity diffraction peaks at 2.86 and 3.2° (Fig. 4b-0 and d-0, respectively, labeled with red dashed lines). For the LPC electrode (Fig. 4b), once the discharge process starts (cutoff at 2.2 V), the α-S8 peaks become very weak, indicating fast reaction kinetics. Accompanying this, a new set of diffraction peaks was observed in the 2-theta ranges of 2.4–2.6° and 2.95–3.15° (labeled with orange dashed squares), suggesting conversions of S8 to LiPS. The densities of the new peaks decrease in subsequent discharging (cutoff: 2.1 V), indicating continuous reactions of LiPS. The XRD peaks observed in 1.2–1.6° were ascribed to the generated LiPS, which is a mixture of soluble Li2Sx with different chain lengths and relative ratio.38 Concentration of Li2Sx and ratio of each species are dependent on the depth of discharge and sulfur reactivity. With proceeding of cell reaction, total amount of Li2Sx, relative ratio, and their distribution inside the electrode evolve, resulting in the irregular changes of XRD peaks. In the voltage range of 2.1 to 1.9 V, with the decrease in LiPS diffraction intensity, a new set of peaks grow at 3.38° and 3.89° (labeled with violet dashed lines), corresponding to cubic-phase Li2S. The low and broad diffractions suggest the formed Li2S is amorphous or nanosized at the end of discharge. During the subsequent charging process, the Li2S peaks become weak and eventually disappear at 2.3 V, and the LiPS peaks reappear again, corresponding to the conversion of Li2S to LiPS. At end of charging (cutoff: 2.8 V), low-intensity diffraction peaks of S8 were observed, while in the SPC electrodes, distinct behaviors were identified for each voltage range. In contrast to the quick disappearance of S in the SPC electrode, the S8 phase still maintains at a high content after discharging to 2.2 V and coexists with the LiPS phase until 2.1 V. This suggests sluggish kinetics of the S-to-LiPS reaction. Different to the fast and complete phase transformation of LiPS to Li2S in the LPC electrode, the LiPS phase coexists during the whole discharging process (Fig. 4d), and only very weak diffractions of Li2S were found at the end of discharge (Fig. 4d). These observations suggest that transformation of LiPS to Li2S is suppressed in the SPC. One explanation for this would be that the large proportion of LiPS diffuses out of the secondary particles and even electrode after generation, which is consistent with the cell performance, i.e., lower capacity and a shorter second discharge plateau (Fig. 4c).
Electrochemical and ex situ XRD results indicate that distinct S reaction processes in the SPC and LPC originate from the second discharge plateau, i.e., LiPS-to-Li2S reactions. From the XRD results, for both cases, one can see that the soluble LiPS is generated during discharge but follows different pathways in the subsequent processes. Compared to the LPC electrode, the SPC electrode has much slower S-to-LiPS conversion kinetics, which may be caused by restricted electrode wetting. In addition, the LiPS diffuses out more quickly in the SPC and accumulates outside the electrode. During the next step, the LiPS-to-Li2S conversion, only part of the LiPS can re-access the active particle surface and form Li2S (or Li2S2) passivation layers, blocking the inflow of LiPS. A consequence of the blocked LiPS inflow would be the speed-up of sulfur irreversible loss (Fig. 4c), which would explain the very weak Li2S diffractions in the SPC at the end of discharge (Fig. 4d4). In the LPC electrode, longer diffusion time is needed for the LiPS to flow out of the LPC. This reduces the LiPS loss and improves the conversion rate to Li2S, as proved by XRD (Fig. 4b-3). Moreover, instead of forming a surface blocking layer, the LPC has larger and open pores to allow for the inflow of LiPS, which is also helpful for attaining high specific capacity.
The sulfur reactions in the dense SPC and LPC were further studied by in situ EIS and electrode morphology characterization. To decouple the interferences of Li metal while acquiring EIS spectra, a three-electrode cell configuration was used, where a tiny strip of LTO (Li4Ti5O12) reference electrode was wrapped with a polypropylene separator and placed between the S working electrode and Li metal counter electrode. Fig. 5a and c plot the first discharge curves of the LPC and SPC under lean-electrolyte conditions (E/S = 4 μL mg−1) during EIS analysis. EIS results (Fig. 5b and d) were acquired during cell discharging at intervals of 7000 seconds. Upon discharging, the overall Rct of the LPC electrode decreased slightly and remained stable from Phase I to Phase III. This is attributed to the combined contributions of polysulfide generation and enhanced wetting. An increase in Rct was observed during Phase IV and grew quickly at the end of Phase V due to the formation of solid Li2S/Li2S2. However, in the SPC electrode, the overall resistance increased very early starting from the end of Phase II and surged to a level as high as that of Phase V in the LPC electrode. These EIS results are consistent with the cell performance and ex situ XRD, confirming that the SPC electrode is blocked early and terminated. Accordingly, a mechanism illustration depicting the difference of reaction process between LPC and SPC is proposed in Fig. S16 (ESI†). This is supported by SEM/EDS characterization of the discharged cells. After the first discharge, compact and smooth coating layers composed of flower-like precipitations were observed on the SPC (Fig. 5g, h and Fig. S15, ESI†), while a cleaner surface and open pores were maintained on the LPC (Fig. 5e and f). It has been reported that when encapsulated in the carbon matrix, the LiPS will form amorphous or nanosized Li2S after discharge;39 otherwise, it tends to form flake-like Li2S particles. When examining the Li anode, the Li metal in an LPC cell maintained a relatively smooth surface after the first discharge (Fig. 5i and j), while more and larger particles of LiPS or Li2S were observed on the Li anode of the SPC cell (Fig. 5k and l), suggesting more serious LiPS outflow in the SPC.
For synchrotron XRD characterization, 14 cycled Li–S coin cells were disassembled inside an argon-filled glovebox. The cathode films were dried in glovebox overnight. In the glovebox, the 14 dried cathode discs were attached to the inner surface of a single large aluminum-lined pouch cell using a circle of Kapton tape slightly larger than the cathode diameter. The pouch was sealed under argon and was shipped to beamline 28-ID-2 of the National Synchrotron Light Source II (NSLS-II) at Brookhaven National Laboratory (BNL) for experiments. At the beamline, the pouch cell was attached to the window of a stiff aluminum frame (photograph and approximate dimensions provided in Fig. S17, ESI†). Calibration was carried out using a CeO2 powder (674b, NIST) sample in a Kapton capillary (1.1 mm in diameter) attached to the side of the frame. Diffraction data were collected using X-ray with a wavelength of 0.19316 Å on a PerkinElmer amorphous silicon-based area detector (2048 × 2048 pixels with 200 μm square pixel edges) at a distance of about 1.6 m using a 0.2 s subframe exposure time and a total acquisition time of 60 s per sample. Integration of the diffraction data was carried out over a 2θ range of 0.5–15° (d = 0.37–11.07 Å) with masks used to exclude the beam stop and the edges of the detector.
X-Ray micro computed tomography (X-ray micro-CT) method was employed to obtain the three-dimensional (3D) microstructure of sulfur electrodes. 3D-CT images of sulfur electrodes were reconstructed from a series of two-dimensional (2D) X-ray projection images obtained from a lab-based X-ray microscope (Zeiss, Versa 610). 2D images are measured at 20× (X-ray source energy and power: 65 kV, 6.5 W) and 40× (80 kV, 10 W) optical magnification in absorption-contrast mode. A total of 3202 2D projections were collected per 360° sample rotation with exposure times of 2 and 4 s for 20× and 40× optical magnifications, respectively.
∇·u = 0, | (1) |
(2) |
(3) |
(4) |
κ = ∇· | (5) |
According to the experimental observations, two sizes (72 and 32 μm) of particle were chosen in the flow simulations. The model of the computational flow domain was created by a random arrangement of larger and smaller particles (shown as the yellow regions in Fig. 2(a)). The electrolyte was poured into the flow domain through the top region above the electrode and flow was driven by the gravity. When adding electrolyte on the top of electrodes, gravity is the main driving force that initiates electrolyte infiltration. The flow is driven by gravity and the wetting is dictated by gravity, capillary force, and the surface characteristic of the solid substrate. In the pore-scale simulation, pressure drop is dictated by the pore-scale capillary pressure. In the simulation, the surface characteristics of the electrode were implemented by the contact angles at the surface of the particles, which is relative major of the adhesion and cohesion behavior. The wall of the particles was set as the no-slip wall with contact angle (γ). Both sides of the electrode were specified as the hydrophobic walls, whereas the wall of the pore particles was considered to be hydrophilic. The hydrophilic and hydrophobic conditions were defined by means of the value of the contact angle. The multiphase flow studies using the VOF method were conducted using air (ρg = 1.185 kg m−3 and μg = 0.0183 mPa s), and electrolyte was used in the Li–S battery. The electrolyte comprised a mixture of 1,3-dioxolane (DOL) and 1,2-dimethoxyethane (DME) with 1 M LiTFSI. The electrolyte had physical properties of (μl = 2.56 mPa s42 and ρl = 997 kg m−3), surface tension (σ = 34.4 mN m−1),41 and contact angle (γ = 20°).43,44 The implicit transient flow simulations were conducted with a very small timestep (Δt ∼ 10−7 s) for stability and convergence because the grid size was on the order of 0.1 μm.
(6) |
Here, C is the concentration, which is treated as a passive scalar, and D is its diffusion coefficient. As explained earlier, dissolution of the LiPS in the electrode occurs mainly due to diffusion, and internal and external LiPS concentration gradients exist. Note that the migration rate of the LiPS in the electrodes depends on the effective diffusion coefficient. In this regard, flow simulations for passive scalar transport were conducted to calculate the effective diffusivity in the electrodes. The passive scalar was representative of LiPS and the value of diffusion coefficient (D) of the scalar was kept constant for both electrodes. In contrast to solid pore particles used in two-phase flow studies, porous particles (see the porous zone inside the white region in Fig. S3(a)) were chosen in this case to understand the internal and external diffusion of LiPS in the electrode. The flow simulations were conducted by specifying the scalar flux rate at the internal pore surfaces of particles of the electrodes. The scalar flux specified at the internal pores deals the understanding the migration of LiPS in the electrodes. The top boundary of the flow domain was specified as a given value of the scalar concentration. Remaining boundaries of the flow domain were specified as zero flux. The unsteady flow simulations were performed and the scalar concentration at the internal pore surfaces was monitored. The simulations were continued until the scalar concentration at the internal pore wall achieved a steady-state value, and the results were further analyzed. Once the simulation achieved a steady state, the effective diffusivity (Deff) was computed as Deff = NΔy/S0ΔC, where N is flux at the internal wall of porous particles, Δy is distance from the electrode surface, ΔC is concentration difference, and S0 is the cross-sectional area.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d2ee01442d |
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