WS2–3D graphene nano-architecture networks for high performance anode materials of lithium ion batteries

Yew Von Lima, Zhi Xiang Huangab, Ye Wanga, Fei Hu Dua, Jun Zhangc, Tu Pei Chenc, L. K. Anga and Hui Ying Yang*a
aPillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore 487372, Singapore. E-mail: yanghuiying@sutd.edu.sg; Fax: +65 6779 5161; Tel: +65 6303 6663
bAirbus Group Innovations Singapore, 110 Seletar Aerospace View, Singapore 77562
cSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798

Received 23rd August 2016 , Accepted 4th November 2016

First published on 4th November 2016


Abstract

WS2 nanoflakes were grown on three-dimensional graphene networks (3Dgn) synthesized via a simple chemical vapor deposition (CVD) method. As anode materials for lithium-ion battery applications, the 3Dgn network not only provides robust mechanical support for the WS2 nanostructure, but also enhances its conductivity and ionic kinetics, leading to an overall improvement in electrochemical performance of WS2 compared to the commercial WS2 powder. The WS2–3Dgn nanocomposites can deliver reversible capacities of 927 and 416 mA h g−1 at current densities of 100 and 1500 mA g−1, respectively. At current density of 200 mA g−1, WS2–3Dgn nanocomposites can retain a capacity of 748 mA h g−1 after 500 cycles with Coulombic Efficiency (CE) higher than 98%, indicating outstanding cycling stability. The improved electrochemical performance is attributed to the synergistic effect between the WS2 nanoflakes and the highly conductive 3Dgn network as well as their rationally designed nano-architecture. These results demonstrate a feasible and simple method to synthesize WS2 based hybrid nanocomposites on 3Dgn for next generation high performance LIBs electrode materials.


1. Introduction

Lithium-ion batteries (LIBs) are among the most popular and utilized renewable energy power sources due to high energy densities, long cycling stability and the virtually non-existent memory effect.1–10 As of now, graphite has been mostly used as the commercial anode material due to its stable cycling performance and natural abundance.11,12 However, the theoretical specific capacity of the graphite is only 372 mA h g−1. It is still too low to be utilized as large scale LIBs for high power consumption such as electrical vehicles usage. With the rising demand of electrical vehicles with long lasting performance, it is of great urgency to investigate alternative electrode materials that can provide outstanding electrochemical performance, i.e. excellent rate capability and long cycling performance.13

Two-dimensional transition metal dichalcogenides, for example the transition metal disulfides (TMDs), have recently received extensive research attention as the anode materials for next generation LIBs as well as supercapacitors.14,61–64 Compared to the usually studied metal oxides,15,63 the volume change of layered structure TMDs is much smaller, owing to the weak van der Waals interactions between the layers and its large interlayer spacing.16 Additionally, the electronic conductivity of TMDs is usually higher than that of metal oxides. i.e. Li2S matrix is generated during the lithiation process to accommodate the metal nanoparticles for TMDs, whereas Li2O is generated for metal oxides. The conductivity of Li2S matrix is usually higher than that of Li2O implying better performance of the TMDs based electrode materials.17,18 Indeed, recent studies have shown that the TMDs-based electrode materials exhibit superior reversible capability with high specific capacity.19,20,61,62,65 Tungsten disulfide (WS2), one of the 2D layered structured TMDs, has been identified as one of the candidates for anode material with a theoretical specific capacity of 433 mA h g−1, and large interlayer spacing with weak van der Waals interactions.21 These factors indicate the potential of long cycle stability with high specific capacity of the WS2 based LIBs electrodes.22

The general strategies usually adopted to enhance the electrochemical performance of the TMDs structure to accommodate the rapid charging/discharging process of LIBs include (a) incorporation of conductive carbonaceous materials, such as reduced graphene oxide (rGO), carbon nanotubes (CNT), amorphous carbon etc.23–27,63; (b) controlling the morphology of nanostructures to tailor the surface kinetics between lithium ions and the active materials.28,29 Majority of research interests have been focused on the usage of graphene oxides (GO) and rGO due to their facile synthesis methods. However, the conductivity of GO or rGO is still not high enough due to the abundant of defects, oxygen-containing functional groups and grain boundaries within the GO structure.30 3D graphene networks (3Dgn) is a connective network of multiple graphene sheet layers grown on nickel foam substrate via chemical vapor deposition (CVD) method.31 The 3Dgn has a unique structure with three dimensional porous and hollow structure different from normal graphene. This inter-connective 3Dgn network has high surface area to volume ratio, suggesting potentially remarkable energy storage potentials.32,33 It is noteworthy that 3Dgn can also potentially improves electrical conductivity and provides a solid structural backbone for prevention of structural pulverization during lithiation/delithiation processes. In addition, 3Dgn structure can also prevents the restacking issue during the lithiation/delithiation processes which are commonly an issue for graphene and graphene oxide.34 However, it should be noted that as the surface of 3Dgn is inert and very stable, this results in difficulty to decorate 3Dgn with other nanoparticles for further application.35 To resolve this issue, the surface of the unreactive and inert graphene can be functionalized or activated by chemical reaction,36,37 photochemical,38 thermal39 and plasma activation methods.40 Among these activation methods, plasma treatment and activation is a rapid, dry and scalable technique.40 Without chemical contamination, plasma treatment can effectively modify the surface kinetics and generate large amount of surface defects and dangling bonds on the surface of 3Dgn for further rational loading of the effective active materials. Therefore plasma activation on graphene prior to active material growth provides an attractive method to achieve (i) repeatable and scalable growth control mechanism of nanostructure, and (ii) enhancement in electrochemical performance of active materials.

Herein, we have successfully synthesized nanocomposites of WS2 nanoflakes on 3Dgn of which the 3Dgn were pre-activated with plasma treatment in various times before the CVD growth of WS2 nanoflakes. This is the first time plasma treatment is utilized to modify the surface kinetics of 3Dgn for WS2 nanoflakes decoration until rational loading with active materials is reached to achieve the best electrochemical performance. The WS2–3Dgn nanocomposites exhibit exceptional capacity and stable cyclic performance as the anode materials of LIBs. Significantly, it can deliver a specific capacity of 927 and 416 mA h g−1 at current density of 100 and 1500 mA g−1 respectively. It is also able to retain a specific capacity of 748 mA h g−1 at a current density of 200 mA g−1 even after 500 cycles. The improved electrochemical performance is attributed to the synergistic effect between the WS2 nanoflakes and 3Dgn network, and also to the special designed structure of the hybrid nanocomposites.

2. Experimental details

2.1 Synthesis of the WS2–3Dgn nanocomposites

3Dgn was grown on nickel foam based on the previously reported method with slight modifications.41 Nickel foam substrates was heated to 1000 °C with a ramping rate of 20 °C min−1 in forming gas (N2[thin space (1/6-em)]:[thin space (1/6-em)]H2 = 95%[thin space (1/6-em)]:[thin space (1/6-em)]5%) environment within a tube furnace CVD chamber. Anhydrous reagent alcohol (from Sigma-Aldrich) vapor was bubbled and introduced into the CVD chamber when the temperature was increased to 1000 °C and kept for 10 min for 3Dgn growth. After that, the furnace was allowed to cool down rapidly with a rate of approximately 100 °C min−1 to room temperature by subjecting the setup to table fan cooling. The resultant mass loading of 3Dgn is about 0.20 mg cm−2.

WS2 precursor solution was prepared by dissolving ammonium tetrathiotungstate ((NH4)2WS4, Sigma-Aldrich) in N,N-dimethylmethanamide (DMF, Sigma-Aldrich) with concentration of 100 mmol l−1. Nickel foam substrates with 3Dgn grown on top were tailored into 1 cm2 pieces and subjected to air plasma treatment for various duration times to functionalize the 3Dgn surface for catalyzing subsequent growth of WS2 nanostructure. The plasma treated 3Dgn samples were dip-casted in the precursor solution for 10 min and baked at 90 °C for 120 min. The resultant samples were then transferred to the CVD chamber and heated to 700 °C in a ramping rate of 5 °C min−1 and kept for 60 min in the forming gas environment.42 The chamber was cooled down to room temperature naturally within the same gas ambient. The mass loading of WS2–3Dgn nanocomposites with various plasma treatment times are shown in Table 1. The samples treated by plasma with 30, 60 and 90 s are named as 30WSG, 60WSG and 90WSG, respectively.

Table 1 Mass loadings the WS2–3Dgn composites with various plasma durations, control sample of 3Dgn and bulk WS2 powder electrodes
Name Plasma treated time (s) Mass loadings (mg cm−2)
Bulk WS2 ∼2.0
3Dgn ∼0.2
30WSG 30 0.3–0.5
60WSG 60 0.7–1.1
90WSG 90 1.5–2.0


2.2 Materials characterization

The morphologies of all samples were studied by using field emission scanning electron microscopy (FESEM, JEOL Japan JSM-7600F) and transmission electron microscopy (TEM, JEOL Japan, JEM-2010). The crystal structure studies of the all samples was carried out via X-ray diffraction (XRD, Bruker D8 Advance) using the Cu Kα (λ = 0.154 nm) radiation lines with the accelerating voltage of 40.00 kV. Raman spectroscopy was performed on WITec Instruments confocal Raman system (WITec Instruments. Alpha-300R, Germany) with 532 nm laser as excitation source.

2.3 Electrochemical performance evaluation

All electrochemical performance testing and measurements were carried out based on a half-cell two electrode configuration. In a typical configuration, pure lithium metal foil was used as the counter electrode, and WS2–3Dgn nanocomposites as the working electrode. The WS2–3Dgn nanocomposites were directly used as the electrodes without any conductive agent and binders. The control samples of bulk WS2 powder (∼99%, by Sigma-Aldrich) was mixed with conductive active carbon black and polyvinylidene fluoride (PVDF) in the weight ratio of 8[thin space (1/6-em)]:[thin space (1/6-em)]1[thin space (1/6-em)]:[thin space (1/6-em)]1. The above powders were mixed with N-methylpyrrolidone (NMP) in a mortar agate to prepare a homogenous slurry. The resultant mixture appeared to be dark greyish slurry and applied directly onto nickel foam substrates and baked in a vacuum oven at 120 °C for more than 12 h to form pure WS2 working electrodes. Another control sample is 3Dgn substrate without further deposition. In a typical assembly process, all working electrodes mentioned before were assembled into a CR2032 coin cells with a Celgard 2400 membrane as a separator. 1 M of LiPF6 dissolved in ethylene-carbonate–ethyl-methyl-carbonate (EC–DMC, 1[thin space (1/6-em)]:[thin space (1/6-em)]1) was used as the electrolyte for the assembly. All electrodes were assembled in an inert glove-box enclosure filled with argon gas with the oxygen and moisture level both controlled at lower than 1 ppm. The galvanostatic charge/discharge measurements were carried out in the voltage range of 0.01–3.00 V at current densities ranging from 100 mA g−1 to 1500 mA g−1 on a battery tester (Neware, Shenzhen, China). Cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were carried out on an electrochemical workstation (VMP3 Bio-logic, France).

3. Results and discussion

3.1 Morphology and structure of WS2–3Dgn nanocomposites

Fig. 1(a) shows the schematics of the nucleation process of WS2 on 3Dgn at various plasma treatment times. When the 3Dgn is treated with 30 s of plasma (for the case of 30WSG) as shown in the SEM images in Fig. 1(b) and (c), the functionalized groups on graphene surface are activated as nucleation sites for the growth of WS2 nanoparticles/island with an average growth diameter of less than 50 nm. The nanoparticles are uniformly distributed on the surface of the 3Dgn. The growth of WS2 nanoparticles/island at the grain boundaries of 3Dgn is much bigger and agglomerated as usually there are more functional groups created at the grain boundaries than the center of graphene surface.43 With the increase of the plasma treatment time to 60 s (60WSG), the activated nucleation sites are denser and subsequently more WS2 nanoparticles are able to grow and interconnect adjacently to form a thin layered WS2 nanoflakes on the 3Dgn networks as shown in Fig. 1(d) and (e). Energy dispersive X-ray spectroscopy (EDS) mapping of the 60WSG-WS2–3Dgn nanocomposites with the elements distribution is displayed in Fig. S1. It is clearly see that W and S elements are distributed in the same position. This confirms the chemical composition of the WS2 nanoflakes on 3Dgn. With the increase of plasma treatment duration to 90 s (90WSG), the growth of the WS2 are assisted and motivated by the abundances of nucleation sites of which the layered structure is grown into a thicker (i.e., bulk-like) appearance covering the 3Dgn surface as shown in Fig. 1(f) and (g). In comparison, the morphology of bulk WS2 and pristine 3Dgn are shown in Fig. S2 and S3 respectively.
image file: c6ra21141k-f1.tif
Fig. 1 (a) Schematic diagram of the morphological differences of the growth of WS2 on 3Dgn from nanoparticles nucleation/island (30WSG), to nanoflakes (60WSG) and ultimately to WS2 thick layers (90WSG) with increasing plasma treatment times. SEM images with various magnifications of (b) and (c) 30WSG, (d) and (e), 60WSG and (f) and (g) 90WSG WS2–3Dgn nanocomposites.

TEM characterization was employed to study the detailed nanostructure of WS2 nanoparticles/nanoflakes on the graphene sheets. As shown in Fig. 2(a), WS2 nanoflakes are grown onto the graphene sheets to form a stable structure, consistent with the SEM results. The bonding between WS2 nanoflakes and 3Dgn is due to the van der Waal's forces and/or weak covalent bonding.60,65,66 As shown in Fig. 2(b), high-resolution TEM (HR-TEM) and selected area electron diffraction (SAED) patterns confirm the crystalline structure of the WS2 nanoflakes with the lattice spacing (d) of 0.69 nm corresponds to the (002) facial plane of WS2.44


image file: c6ra21141k-f2.tif
Fig. 2 (a) TEM and (b) HR-TEM images of the WS2–3Dgn nanocomposites.

Fig. 3(a) depicts the XRD patterns of the pristine 3Dgn, pure commercial WS2 powders and WS2–3Dgn nanocomposites. The peaks at 14.364, 28.959, 32.769, 33.587, 39.600, 44.055, 49.800, 57.495, 60.010 and 60.600° are corresponding to the WS2 crystal facial of (002), (004), (100), (101), (103), (006), (105), (110), (008) and (112), respectively. All peaks agreed well with the commercial WS2 powder and standard powder diffraction card of JCPDS-841398 as well as previous reports.45,46 The peak at 26.4°, which corresponds to that of the graphitic carbon of (002) plane (JCPDS-751621), is also observed on the WS2–3Dgn nanocomposites (indicated by ○).41 This peak can be associated to that of 3Dgn as shown in the XRD profile of the pristine 3Dgn. The sharp peaks located at 44.45, 51.71 and 76.41° belong to nickel metal from the nickel foam substrates.47 No other significant patterns that belongs to other phases or compounds are observed. The WS2–3Dgn nanocomposites were further characterized by Raman spectroscopy as shown in Fig. 3(b). The peaks located at 352 and 417 cm−1 are corresponding to the vibrational modes of E12g(Γ) and A1g(Γ) of WS2, respectively.48 It is interesting to note that the intensity ratio I(E12g)/I(A1g) changes with various composites owing to the thickness variation of WS2 layers which agrees with previous studies.49 The D band (1350 cm−1) and G band (1580 cm−1) of 3Dgn are also observed in the WS2–3Dgn nanocomposites and pristine 3Dgn. They are corresponding to the (i) disordered sp2-hybridisation of the graphene structure, and (ii) the graphene vibrational modes E2g(Γ) of the carbon covalent bonds in the graphene lateral planes, respectively.50


image file: c6ra21141k-f3.tif
Fig. 3 (a) XRD patterns and (b) Raman spectra of 3Dgn, 30WSG, 60WSG and 90WSG WS2–3Dgn nanocomposites and pure bulk WS2 electrodes.

3.2 Electrochemical performance of WS2–3Dgn nanocomposites

The electrochemical performance of WS2–3Dgn nanocomposites (60WSG) were investigated by cyclic voltammetry (CV) in the range of 0.01 to 3.00 V (vs. Li/Li+), as shown in Fig. 4(a). During the first cycle, the cathodic reaction at the broad range from 0.2 to 1.0 V can be ascribed to (i) the insertion of lithium ions into WS2 crystal structure, (ii) the conversion reaction of WS2 into W nanoparticles embedded in Li2S matrix, and (iii) the irreversible decomposition of the electrolyte leading to the formation of SEI film.51,52 The same peak is also observed for the bulk WS2 as shown in Fig. S4(a). The reaction (1) can be denoted as follows,
 
WS2 + 4Li+ → W + 2Li2S (1)

image file: c6ra21141k-f4.tif
Fig. 4 (a) CV curves of the 60WSG WS2–3Dgn nanocomposites of the first 3 cycles in the potential range of 0.01–3.00 V vs. Li/Li+. (b) The galvanostatic charge and discharge profiles of the 60WSG WS2–3Dgn composites of 1st, 5th and 10th cycles measured at a current density of 100 mA g−1. (c) Rate capability (delithiation capacity) of the 60WSG WS2–3Dgn nanocomposites, commercial WS2 powder electrodes and pristine 3Dgn electrodes at the current densities of 100, 200, 500, 1000, 1500 mA g−1. (d) Cycling performance of the 60WSG WS2–3Dgn nanocomposites, bulk WS2 and pristine 3Dgn at a current density of 200 mA g−1, and Coulombic Efficiency of 60WSG WS2–3Dgn nanocomposites electrode.

In the first anodic region, two distinctive peaks are observed at 1.9 and 2.4 V. The first peak at 1.9 V can be attributed to the interaction of Li2S to the metal tungsten nanoparticles (reaction (2)). For the case of bulk WS2 based electrodes, this reaction is not readily available due to the Li2S generated in the first reaction are not effectively reacting with the metal in the bulk matrix, as confirmed in the CV of the bulk WS2 electrode as shown in Fig. S4(a).53

 
2Li2S + W → 2xLi+ + WSx + 2xe (2)

The anodic peak at 2.4 V is attributed to the oxidation of Li2S to S, which expressed as the reaction below (forward reaction of reaction (3)).54

 
2Li2S ↔ 4Li+ + S22− + 2e (3)

The anodic and cathodic profiles of the WS2–3Dgn nanocomposites at the lower voltage range of 0.01–0.25 V is ascribed to the characteristic reaction of the LixC insertion/extraction of Li-ion processes into the graphene layers.55–57 This is confirmed by the comparison with the CV profiles of the pristine 3Dgn as shown in Fig. S5(a).

For the subsequent cycles (2nd and 3rd cycles), two distinctive reduction peaks located at 1.25 and 1.8 V are attributed to the lithium insertion into the crystal structure of WS2 following equation as shown (forward reaction of reaction (4)).25,58

 
WS2 + xLi+ + xe ↔ LixWS2 (4)

For the anodic region, apart from the higher voltage region of 2.4 V (reaction (3) of the sulfurization peak), the anodic peak at 1.9 V is also observed and is higher in comparison to the 1st cycle. This indicates more contribution from reaction (2). This also indicates that reaction (2) are sustained in subsequent cycles. It has been reported that this reaction is responsible of having the impact and significance of producing highly stable and excellent rate capacity due to the higher irreversibility of reaction (2) compared to the reaction (3), which only reaction (3) is usually observed in the bulk WS2 electrodes.53

Fig. 4(b) shows the 1st, 5th and 10th galvanostatic charge/discharge curves of the 60WSG WS2–3Dgn nanocomposites at current density of 100 mA g−1. During the first discharge cycle, a broad plateau is observed at around 0.75 V. The reaction corresponds to the lithium intercalation reaction accompanied by the formation of the SEI layer.58 For the charging processes, two plateaus at 1.9 and 2.4 V are ascribed to the reaction of Li2S to the metallic W into WS2 as well as the oxidation of Li2S respectively.53 For the subsequent discharging cycles, this first reduction plateau diminishes and two distinctive new reduction plateaus appear at 1.9 and 1.4 V which can be ascribed to the lithiation process.24,27 The galvanostatic charge and discharge of 30WSG and 90WSG display the same profiles and are shown in Fig. S6(b) and S7(b) respectively. Interestingly for the 60WSG-WS2–3Dgn nanocomposites, the 1st cycle charge and discharge capacities are 1150 and 1480 mA h g−1, respectively, leading to a high first cycle Coulombic Efficiency (CE) of 77% that is higher than most reported WS2 based electrode materials.25,44,58 In the 2nd cycle, the charge and discharge capacities are 1080 and 1202 mA h g−1, respectively with an increase of CE to 90%. The CE remained higher than 98% for subsequent and longer cycles. The high CE indicates that the active ions in the WS2–3Dgn nanocomposites electrodes participating the lithiation/delithiation are highly reversible and with low energy loss.

The rate capabilities of all electrodes were tested under various current densities ranging from 100, 200, 500, 1000 and 1500 mA g−1. Remarkably, the 60WSG-WS2–3Dgn nanocomposites are able to deliver specific capacities of 927, 815, 630, 500, 416 mA h g−1 at the current densities of 100, 200, 500, 1000 and 1500 mA g−1, respectively, as shown in Fig. 4(c). The rate capability of 30WSG and 90WSG-WS2–3Dgn nanocomposites were shown in Fig. S8. It is worth mentioning that for the 60WSG composites, the specific capacity returned to 820 mA h g−1 when the current density is adjusted from 1500 to 100 mA g−1. In contrast, the specific capacities of WS2–3Dgn nanocomposites are much higher than that of bulk WS2 and pure 3Dgn especially at the higher current densities. The bulk WS2 powder and 3Dgn only deliver specific capacities of 152 and 112 mA h g−1 at a current density of 1000 mA g−1, respectively. It is also notable that the capacity of bulk WS2 decreases quickly with increasing current densities. This indicates the superior rate capability of the WS2–3Dgn nanocomposites in contrast to that of the bulk WS2 and the pristine 3Dgn electrodes.

The cycling performance of the WS2–3Dgn nanocomposites, bulk WS2 and pristine 3Dgn at a current density of 200 mA g−1 are shown in Fig. 4(d). The WS2–3Dgn nanocomposites exhibit stable cycle performance and deliver a remarkable specific capacity of 748 mA h g−1 after 500 cycles. Although the pristine 3Dgn also shows stable cycle performance, it only can deliver a capacity of 287 mA h g−1 after 500 cycles at the same current density. The specific capacity of bulk WS2 reduces rapidly from 541 at the 1st discharge cycle to 90 mA h g−1 after 100 cycles at the same current density. Thus, with the incorporation of WS2 nanoflakes onto 3Dgn, the specific capacity as well as the cycling performance of the WS2 are greatly improved. We also note that the cycling performance is also affected by the loading of WS2. For the case of 30WSG nanocomposites as shown in Fig. S9(a), the cycling stability is able to maintain a relative lower specific capacity of 324 mA h g−1 even after 500 cycles. For the case of 90WSG nanocomposites, they exhibit a high specific capacity of 638 mA h g−1 at the 1st cycle, but degrade to 240 mA h g−1 after 100 cycles as shown in Fig. S9(b). It is also worth mentioning that the WS2–3Dgn nanocomposites are able to retain its morphology after 500 cycles at 200 mA g−1 showing remarkable robustness of WS2 layers with 3Dgn as backbone under lithiation/delithiation cycles, as shown in Fig. S10.

In order to explore intrinsic electrochemical kinetics of the WS2–3Dgn nanocomposites, electrochemical impedance spectroscopy (EIS) were conducted over the frequency range of 10 mHz to 1 MHz as shown in Fig. 5. The Nyquist diagram or the EIS diagram were fitted using the circuitry model as depicted in the inset of Fig. 5(a). Rs represents the current collector and electrolyte resistance; Rf and Q1 represent SEI layer resistance and the constant phase element (CPE) respectively; Rct and Q2 represent charge transfer resistance and double layer capacitor, respectively. Zw represents the Warburg impedance related to the lithium diffusion.59 The fitted results are summarized in Table 2. The results show that with the incorporation of the 3Dgn to the WS2, the charge transfer resistance of the WS2–3Dgn composite electrodes (from 116, 156.70 to 241.80 Ω with increasing WS2 mass loadings) is significantly smaller than that of the pure bulk WS2 electrodes (784.60 Ω).


image file: c6ra21141k-f5.tif
Fig. 5 Nyquist impedance spectra of the bulk WS2, 3Dgn and WS2–3Dgn nanocomposites. (a) in the full range of Z′ and −Z′′ from 0 to 1000 Ω. Inset shows the model for the EIS test circuit. (b) In region of Z′ and −Z′′ from 0 to 200 Ω.
Table 2 Fitting results of the EIS spectra with the configurative circuitry model as shown in Fig. 5(a)
Sample Rs (Ω) Rf (Ω) Rct (Ω)
Bulk WS2 14.35 745.6 784.6
3Dgn 22.10 81.13 68.52
30WSG 24.35 92.89 116.0
60WSG 15.89 118.62 156.7
90WSG 18.31 133.67 241.80


The excellent performance of the WS2–3Dgn composites in comparison to the bulk WS2 electrodes are attributed to the rational design of the WS2–3Dgn nanostructure and the synergistic effect between 3Dgn network and WS2 nanoflakes, of which the incorporation are assisted by the plasma treatment prior to nanoflakes growth: (1) WS2 nanoflakes have provided large surface area with shortened lithium ion diffusion path compared to that of bulk WS2. (2) WS2–3Dgn composites were shown to have better structure retainability due to mechanically robust 3Dgn backbone during the lithiation/delithiation process. (3) 3Dgn provides excellent electric conductivity to reduce the resistance of the WS2 layers (charge resistance is reduced with the incorporation of 3Dgn as shown in EIS data).65 This enhancement is more prominent in particularly for the case of the low mass loading samples (i.e. 30WSG and 60WSG). (4) The binder free structure during cell assembly further improves the lithium-ion/WS2–3Dgn nanostructure behavior without causing unneeded increase of resistance. As LIBs anode materials, these results indicate that WS2–3Dgn nanocomposites exhibit superior and excellent specific capacities, rate capabilities as well as stable cycling as compare to the pure bulk WS2 electrodes.

4. Conclusion

In summary, WS2–3Dgn hybrid nanocomposites were synthesized by a simple CVD method. WS2 nanoparticles/nanoflakes are uniformly grown on the surface of 3Dgn networks. 3Dgn network not only provide the template for the growth of WS2 nanostructures, but also increase the conductivity of WS2 during the lithiation/delithiation processes. As LIBs electrode materials, WS2–3Dgn nanocomposites exhibit excellent electrochemical performance, with superior specific capacity, rate capabilities and more stable cycling performance as compared to the bulk WS2 electrodes. The outstanding performance is due to synergistic effect of the pristine three dimensional graphene network supporting the electrochemical reaction of WS2 in both mechanically and electronically. By incorporation of WS2 to 3Dgn which the growth mechanism and the electrochemical performance can be controlled via plasma activation to 3Dgn, this work opens up a new yet simple to use method in optimizing electrochemical performance of TMDs in its application as LIBs anode materials.

Acknowledgements

This research is supported by the National Research Foundation, Prime Minister's Office, Singapore under its NRF-ANR Joint Grant Call (NRF-ANR Award No. NRF2015-NRF-ANR000-CEENEMA).

References

  1. M. Armand and J.-M. Tarascon, Nature, 2008, 451, 652–657 CrossRef CAS PubMed.
  2. J.-M. Tarascon and M. Armand, Nature, 2001, 414, 359–367 CrossRef CAS PubMed.
  3. B. Dunn, H. Kamath and J.-M. Tarascon, Science, 2011, 334, 928–935 CrossRef CAS PubMed.
  4. A. S. Aricò, P. Bruce, B. Scrosati, J.-M. Tarascon and W. van Schalkwijk, Nat. Mater., 2005, 4, 366–377 CrossRef PubMed.
  5. B. Lung-Hao Hu, F.-Y. Wu, C.-T. Lin, A. N. Khlobystov and L.-J. Li, Nat. Commun., 2013, 4, 1687 CrossRef PubMed.
  6. D. Larcher and J.-M. Tarascon, Nat. Chem., 2014, 7, 19–29 CrossRef PubMed.
  7. B. Scrosati, Electrochim. Acta, 2000, 45, 2461–2466 CrossRef CAS.
  8. K. Kang, Y. S. Meng, J. Bréger, C. P. Grey and G. Ceder, Science, 2006, 311, 977–980 CrossRef CAS PubMed.
  9. F. Cheng, J. Liang, Z. Tao and J. Chen, Adv. Mater., 2011, 23, 1695–1715 CrossRef CAS PubMed.
  10. A. Manthiram, J. Phys. Chem. Lett., 2011, 2, 176–184 CrossRef CAS.
  11. X. Chia, A. Y. S. Eng, A. Ambrosi, S. M. Tan and M. Pumera, Chem. Rev., 2015, 115, 11941–11966 CrossRef CAS PubMed.
  12. J. B. Goodenough and Y. Kim, Chem. Mater., 2010, 22, 587–603 CrossRef CAS.
  13. J. Xiao, W. Xu, D. Wang, D. Choi, W. Wang, X. Li, G. L. Graff, J. Liu and J.-G. Zhang, J. Electrochem. Soc., 2010, 157, A1047–A1051 CrossRef CAS.
  14. J. Chen, N. Kuriyama, H. Yuan, H. T. Takeshita and T. Sakai, J. Am. Chem. Soc., 2001, 123, 11813–11814 CrossRef CAS PubMed.
  15. P. G. Bruce, S. A. Freunberger, L. J. Hardwick and J.-M. Tarascon, Nat. Mater., 2011, 11, 19–29 CrossRef PubMed.
  16. X. Rui, H. Tan and Q. Yan, Nanoscale, 2014, 6, 9889–9924 RSC.
  17. M. Tatsumisago, S. Hama, A. Hayashi, H. Morimoto and T. Minami, Solid State Ionics, 2002, 154, 635–640 CrossRef.
  18. V. K. Deshpande, A. Pradel and M. Ribes, Solid State Ionics, 1988, 28–30, 756–761 CrossRef.
  19. Y. Wang, B. Chen, D. H. Seo, Z. J. Han, J. I. Wong, K. Ostrikov, H. Zhang and H. Y. Yang, NPG Asia Mater., 2016, 8, e268 CrossRef CAS.
  20. Y. Wang, D. Kong, W. Shi, B. Liu, G. J. Sim, Q. Ge and H. Y. Yang, Adv. Energy Mater., 2016, 6, 1601057 CrossRef.
  21. R. Chen, T. Zhao, W. Wu, F. Wu, L. Li, J. Qian, R. Xu, H. Wu, H. M. Albishri, A. S. Al-Bogami, D. A. El-Hady, J. Lu and K. Amine, Nano Lett., 2014, 14, 5899–5904 CrossRef CAS PubMed.
  22. C. Feng, L. Huang, Z. Guo and H. Liu, Electrochem. commun., 2007, 9, 119–122 CrossRef CAS.
  23. C. S. Reddy, A. Zak and E. Zussman, J. Mater. Chem., 2011, 21, 16086–16093 RSC.
  24. H. Li, K. Yu, H. Fu, B. Guo, X. Lei and Z. Zhu, Phys. Chem. Chem. Phys., 2015, 17, 29824–29833 RSC.
  25. X. Xu, C. S. Rout, J. Yang, R. Cao, P. Oh, H. S. Shin and J. Cho, J. Mater. Chem. A, 2013, 1, 14548–14554 CAS.
  26. D. Chen, G. Ji, B. Ding, Y. Ma, B. Qu, W. Chen and J. Y. Lee, Nanoscale, 2013, 5, 7890–7896 RSC.
  27. S. Yu, J.-W. Jung and I.-D. Kim, Nanoscale, 2015, 7, 11945–11950 RSC.
  28. Z.-S. Wu, G. Zhou, L.-C. Yin, W. Ren, F. Li and H.-M. Cheng, Nano Energy, 2012, 1, 107–131 CrossRef CAS.
  29. C. Liu, F. Li, L.-P. Ma and H.-M. Cheng, Adv. Mater., 2010, 22, E28–E62 CrossRef CAS PubMed.
  30. H. Wang, J. T. Robinson, X. Li and H. Dai, J. Am. Chem. Soc., 2009, 131, 9910–9911 CrossRef CAS PubMed.
  31. Z. Chen, W. Ren, L. Gao, B. Liu, S. Pei and H.-M. Cheng, Nat. Mater., 2011, 10, 424–428 CrossRef CAS PubMed.
  32. X. Cao, Y. Shi, W. Shi, X. Rui, Q. Yan, J. Kong and H. Zhang, Small, 2013, 9, 3433–3438 CrossRef CAS PubMed.
  33. S. Mao, G. Lu and J. Chen, Nanoscale, 2015, 7, 6924–6943 RSC.
  34. Y. Ma and Y. Chen, Natl. Sci. Rev., 2015, 2, 40–53 CrossRef.
  35. A. K. Geim and K. S. Novoselov, Nat. Mater., 2007, 6, 183–191 CrossRef CAS PubMed.
  36. Q. H. Wang and M. C. Hersam, Nat. Chem., 2009, 1, 206–211 CrossRef CAS PubMed.
  37. Y. Si and E. T. Samulski, Nano Lett., 2008, 8, 1679–1682 CrossRef CAS PubMed.
  38. B. Li, L. Zhou, D. Wu, H. Peng, K. Yan, Y. Zhou and Z. Liu, ACS Nano, 2011, 5, 5957–5961 CrossRef CAS PubMed.
  39. J. T. Robinson, J. S. Burgess, C. E. Junkermeier, S. C. Badescu, T. L. Reinecke, F. K. Perkins, M. K. Zalalutdniov, J. W. Baldwin, J. C. Culbertson, P. E. Sheehan and E. S. Snow, Nano Lett., 2010, 10, 3001–3005 CrossRef CAS PubMed.
  40. G. Bruno, G. V. Bianco, M. M. Giangregorio, M. Losurdo and P. Capezzuto, Phys. Chem. Chem. Phys., 2014, 16, 13948–13955 RSC.
  41. Z. X. Huang, Y. Wang, Y. G. Zhu, Y. Shi, J. I. Wong and H. Y. Yang, Nanoscale, 2014, 6, 9839–9845 RSC.
  42. D. Hunyadi, A. L. Vieira Machado Ramos and I. M. Szilágyi, J. Therm. Anal. Calorim., 2015, 120, 209–215 CrossRef CAS.
  43. M. Seifert, J. E. B. Vargas, M. Bobinger, M. Sachsenhauser, A. W. Cummings, S. Roche and J. A. Garrido, 2D Mater., 2015, 2, 024008 CrossRef.
  44. K. Shiva, H. S. S. Ramakrishna Matte, H. B. Rajendra, A. J. Bhattacharyya and C. N. R. Rao, Nano Energy, 2013, 2, 787–793 CrossRef CAS.
  45. Y. Feldman, G. L. Frey, M. Homyonfer, V. Lyakhovitskaya, L. Margulis, H. Cohen, G. Hodes, J. L. Hutchison and R. Tenne, J. Am. Chem. Soc., 1996, 118, 5362–5367 CrossRef CAS.
  46. C. Luhrs, M. Moberg, A. Maxson, L. Brewer and S. Menon, Inorganics, 2014, 2, 211–232 CrossRef CAS.
  47. A. Ul-Hamid, A. Quddus, H. Saricimen, H. Dafalla, A. Ul-Hamid, A. Quddus, H. Saricimen and H. Dafalla, Mater. Res., 2015, 18, 20–26 CrossRef CAS.
  48. H. S. S. Ramakrishna Matte, A. Gomathi, A. K. Manna, D. J. Late, R. Datta, S. K. Pati and C. N. R. Rao, Angew. Chem., Int. Ed., 2010, 49, 4059–4062 CrossRef PubMed.
  49. A. Berkdemir, H. R. Gutiérrez, A. R. Botello-Méndez, N. Perea-López, A. L. Elías, C.-I. Chia, B. Wang, V. H. Crespi, F. López-Urías, J.-C. Charlier, H. Terrones and M. Terrones, Sci. Rep., 2013, 3, 1755 Search PubMed.
  50. A. C. Ferrari, J. C. Meyer, V. Scardaci, C. Casiraghi, M. Lazzeri, F. Mauri, S. Piscanec, D. Jiang, K. S. Novoselov, S. Roth and A. K. Geim, Phys. Rev. Lett., 2006, 97, 187401 CrossRef CAS PubMed.
  51. Q. Wang and J. Li, J. Phys. Chem. C, 2007, 111, 1675–1682 CAS.
  52. G. X. Wang, S. Bewlay, J. Yao, H.-K. Liu, S. X. Dou, S. Bewlay, J. Yao and H. K. Liu, Electrochem. Solid-State Lett., 2004, 7, 321–323 CrossRef.
  53. X. Li, J. Zai, S. Xiang, Y. Liu, X. He, Z. Xu, K. Wang, Z. Ma and X. Qian, Adv. Energy Mater., 2016, 6, 1601056 CrossRef.
  54. Y. Liu, W. Wang, H. Huang, L. Gu, Y. Wang and X. Peng, Chem. Commun., 2014, 50, 4485–4488 RSC.
  55. F. Ding, W. Xu, D. Choi, W. Wang, X. Li, M. H. Engelhard, X. Chen, Z. Yang and J.-G. Zhang, J. Mater. Chem., 2012, 22, 12745–12751 RSC.
  56. P. Han, W. Ma, S. Pang, Q. Kong, J. Yao, C. Bi and G. Cui, J. Mater. Chem. A, 2013, 1, 5949–5954 CAS.
  57. J. Wang, C. Feng, Z. Sun, S. Chou, H. Liu and J. Wang, Sci. Rep., 2014, 4, 7030 CrossRef CAS PubMed.
  58. H. Liu, D. Su, G. Wang and S. Z. Qiao, J. Mater. Chem., 2012, 22, 17437–17440 RSC.
  59. Y. Wang, Z. J. Han, S. F. Yu, R. R. Song, H. H. Song, K. Ostrikov and H. Y. Yang, Carbon, 2013, 64, 230–236 CrossRef CAS.
  60. T. Ahmed, N. A. Modine and J.-X. Zhu, Appl. Phys. Lett., 2015, 107, 043903 CrossRef.
  61. B. Li, M. Zheng, H. Xue and H. Pang, Inorg. Chem. Front., 2016, 3, 175–202 RSC.
  62. Y. Yan, B. Li, W. Guo, H. Pang and H. Xue, J. Power Sources, 2016, 329, 148–169 CrossRef CAS.
  63. Y. Yan, H. Xu, W. Guo, Q. Huang, M. Zheng, H. Pang and H. Xue, Inorg. Chem. Front., 2016, 3, 791–797 RSC.
  64. H. Pang, Y. Zhang, W.-Y. Lai, Z. Hu and W. Huang, Nano Energy, 2015, 15, 303–312 CrossRef CAS.
  65. E. G. S. Firmiano, A. C. Rabelo, C. J. Dalmaschio, A. N. Pinheiro, E. C. Pereira, W. H. Schreiner and E. R. Leite, Adv. Energy Mater., 2014, 4, 1301380 CrossRef.
  66. Y. D. Ma, Y. Dai, M. Guo, C. W. Niu and B. B. Huang, Nanoscale, 2011, 3, 3883–3887 RSC.

Footnote

Electronic supplementary information (ESI) available. See DOI: 10.1039/c6ra21141k

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