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Article

Femtosecond Laser-Modulated Oxygen Vacancies in LiFePO4 Thick Electrodes for Rapid Ion Transport

1
School of Materials Science and Engineering, Hebei University of Technology, Tianjin 300130, China
2
Center for Health Science and Engineering, Hebei Key Laboratory of Biomaterials and Smart Theranostics, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300131, China
*
Authors to whom correspondence should be addressed.
Coatings 2025, 15(7), 738; https://doi.org/10.3390/coatings15070738
Submission received: 15 May 2025 / Revised: 14 June 2025 / Accepted: 19 June 2025 / Published: 20 June 2025

Abstract

Although thick electrodes hold significant potential for enhancing battery energy density, their practical application is limited by restricted ion transport kinetics. Constructing porous structures within thick electrodes is a widely adopted strategy to address this limitation, but it often compromises mass retention and mechanical integrity. In this study, a microchannel structure that balances the electrochemical and mechanical properties of the electrode was identified through simulation and precisely fabricated using femtosecond laser technology. Furthermore, the ultra-short pulse duration and high pulse energy of femtosecond lasers introduce oxygen vacancies into the electrode material, thereby enhancing its electrical conductivity. The obtained electrode exhibited excellent electrochemical performance under high-rate charging and discharging conditions, achieving significantly enhanced cycling stability and capacity retention, with a capacity 1.99 times greater than that of the unstructured electrode after 100 cycles. Meanwhile, the mechanical stability of the laser-processed electrode was maintained. This study provides new insights into the structural design and processing of the thick electrode and contributes to advancements in the field of energy storage.

Graphical Abstract

1. Introduction

Driven by the global push for carbon neutrality, the development and deployment of new energy sources have become increasingly vital, raising the standards and demands on energy storage devices [1,2]. Lithium-ion batteries (LIBs), acknowledged as a promising energy storage technology owing to their environmental friendliness, lack of memory effect, long cycle life, and high safety, have expanded their applications from consumer electronics and electric vehicles to diverse sectors such as grid energy storage, autonomous underwater vehicles, and aerospace [3,4]. As the global LIB market undergoes rapid expansion, the requirement for batteries with significantly higher energy and power densities has become urgent [5]. From an electrode design perspective, a direct and effective approach to increasing energy density, especially in cathodes, is the fabrication of thick electrodes. This method can increase the fraction of active material within each component of the battery to increase the energy density of the battery [6,7]. Nevertheless, the use of high-capacity thick electrodes introduces considerable challenges. Increasing electrode thickness extends the diffusion distance for lithium ions and electrons, significantly raising the battery’s internal resistance [6,8]. Furthermore, the limited wettability of thick electrodes increases internal resistance, impedes charge transfer, exacerbates reaction inhomogeneity, and ultimately constrains the battery’s energy density [9]. Therefore, the development of well-designed LIB electrodes through innovative and rapid fabrication methods is essential to meet future energy demands.
Introducing internal structures into electrodes has proven to be a promising approach for enhancing the electrochemical performance of thick electrodes. The essence of this strategy is to improve electrochemical performance by facilitating ion transport [10,11]. C. Liu et al. [12] developed a three-dimensional lattice porous structure in Li4Ti5O12 thick electrodes. The vertically oriented porous structure provides an efficient pathway for lithium-ion (Li+) transport, effectively reducing ion transport distance and improving the reaction kinetics. The electrode demonstrated excellent electrochemical performance, achieving an areal capacity of 5.88 mAh cm−2 at 1.0 C. Similarly, W. Wang et al. [13] fabricated vertically aligned channels within thick electrodes. The aligned pore structure facilitates electrolyte infiltration and establishes rapid pathways for ion and electron transport. The thick electrodes, with a mass loading of up to 20 mg cm−2, demonstrated excellent rate capability and enhanced cycling stability. However, these fabrication methods are generally expensive, low in throughput, require specific processing conditions, involve intricate procedures, and offer only limited precision control, all of which present substantial challenges for large-scale applications.
The development of simple and efficient methods for fabricating three-dimensional electrode structures is urgently required to enhance the performance of highly loaded electrodes. Laser processing, an environmentally friendly manufacturing technology characterized by its non-contact nature and ultra-short pulse duration, offers notable advantages in electrode fabrication. It has been verified as an effective method for fabricating three-dimensional electrodes [14]. J. Park et al. [15] employed femtosecond laser processing to create a series of regularly spaced grooves on the electrode surface, which significantly enhanced the rate capability of thick electrodes compared to their unprocessed counterparts. Nevertheless, the creation of such structures on thick electrodes often compromises their mechanical integrity, and the precise relationship between structure and performance remains unclear. The optimal structural parameters and the balance between electrochemical and mechanical properties are still challenging issues that require further investigation.
In this study, we employed a femtosecond laser technique to process a series of groove-like structures on the electrode with different depths and spacing, aiming to investigate the relationship between the structure and performance of the thick electrode. The groove structure, combined with the oxygen vacancies introduced during laser processing, was found to significantly enhance the performance of the electrodes, which exhibited improved wettability, along with significant enhancements in electronic conductivity, rate performance, and capacity retention, while the mechanical stability of the processed electrode was not adversely affected. The underlying mechanisms driving these performance improvements, as well as the ion diffusion kinetics within the electrodes, were analyzed using various techniques. Experimental and simulation results validated the feasibility of this structural design, offering a valuable reference for the design and preparation of thick electrodes.

2. Materials and Methods

2.1. Computational

Finite Element Static Analysis: Modeling simulations were performed using the solid mechanics module of COMSOL MULTIPHYSICS 6.2. A two-dimensional lithium-ion battery mechanics model was established to examine the influence of external pressure on electrode stability. A linear elastic material model was employed to describe the electrode, with a fixed constraint applied at the bottom and a load constraint applied perpendicular to the top surface of the electrode. The detailed parameters of the simulation are shown in Table S1.
Li+ Diffusion Simulation: The lithium-ion diffusion model consists of the LIB module and the dilute material transport module from COMSOL MULTIPHYSICS 6.2. The LIB module is employed to calculate the potential and current density distributions within the battery, while the dilute material transport module utilizes Fick’s law and the current surface coupling boundary condition to characterize the reaction and diffusion of the Li+ inside the battery.

2.2. Preparation of Electrodes

The cathode composite was prepared by mixing LiFePO4 (LFP), conductive carbon (Super P), and polyvinylidene fluoride (PVDF) in a weight ratio of 8:1:1 wt% in N-methyl-2-pyrrolidone (NMP) solvent. The LFP, Super P, and PVDF were first ground in a mortar for 1 h. After the addition of the NMP, the mixture was ground for an additional 20 min until a well-mixed slurry was obtained. This slurry was uniformly applied to carbon-coated aluminum foil using a squeegee and dried in a vacuum oven at 70 °C for 12 h. The treated carbon-coated aluminum foil was then cut into small circular discs with a diameter of 12 mm. No calendering process was applied to the electrodes after coating and drying. The LFP mass loading in the cathode was approximately 20 mg cm−2, and the electrode thickness was approximately 120 μm.
Laser-treated electrodes were fabricated by processing conventional electrodes with a titanium-doped femtosecond laser system (Satsuma, Amplitude, Paris, France), which has a central wavelength of 1030 nm and a pulse duration of 600 fs. Laser processing was conducted by moving the laser beam at predefined scan speeds and path intervals. The resulting electrodes are named D0, D30, D80, and D100, depending on the depth of the laser-processed structure.

2.3. Structural Characterization

The microscopic morphology of the materials was examined using a scanning electron microscope (SEM, Sigma 500, Oberkochen, Germany). X-ray diffraction (XRD) patterns were recorded on a D8 Discover XRD with Cu-Kα radiation, scanned over a 2θ range of 10° to 80° (Rigaku, Tokyo, Japan). Raman spectra were obtained with a DXR2Xi spectrometer (532 nm) (Thermo Fisher Scientific, Shanghai, China). Electrode conductivity was evaluated using a four-probe test setup. The change in electrode wettability toward the electrolyte was measured using the solid drop method on a contact angle meter (JC2000DM, Powereach Digital Technology Equipment, Shanghai, China). The peel strength of the laser-processed and unprocessed electrodes was tested using a universal testing machine. The changes in oxygen vacancies on the electrode surface pre- and post-laser treatment were analyzed using a paramagnetic resonance spectrometer (Bruker EMXplus-6/1, Bruker, Hamburg, Germany) operated at a frequency of 9.846392 GHz, with a magnetic field scan range of 3455–3555 G.

2.4. Electrochemical Measurements

The electrochemical performance of the samples was assessed using coin cells with lithium metal as the counter electrode, Celgard 2500 film as the separator, and a laser-processed electrode as the working electrode. CR2032-type coin cells were assembled in an argon-filled glove box. The electrolyte was composed of 1 mol L−1 lithium hexafluorophosphate dissolved in a solvent mixture of dimethyl carbonate, ethylene carbonate, and ethyl methyl carbonate at a volume ratio of 1:1:1, with the addition of 1% vinylene carbonate. Approximately 30–50 μL of electrolyte was used for each battery. Galvanostatic charge–discharge performance was measured over a voltage range of 2.5–3.8 V (vs. Li/Li⁺), along with galvanostatic intermittent titration (GITT), using a multi-channel battery test system (Neware CT-4008-5 V 20 mA, Neware Technology Limited, Shenzhen, China) at room temperature. Cyclic voltammetry (CV) was performed between 2.5 V and 4.2 V at a scan rate of 0.1–0.5 mV s−1, and electrochemical impedance spectroscopy (EIS) was conducted at a 5 mV amplitude over a frequency range from 100 kHz to 10 Hz on a CH1660E electrochemical workstation.

3. Results and Discussion

3.1. Structural Design and Preparation of Electrodes

The laser-machined groove structure significantly enhanced the overall electrochemical performance of thick electrodes. However, the laser-machined structure also affected the mechanical stability of the electrodes. In order to examine the effects of varying structural depths on both the mechanical and electrochemical properties to achieve a balanced performance, we simulated and analyzed the mechanical and electrochemical properties of the electrode structures with varying processing depths.
As shown in Figure 1a, the stress distribution in the structured electrode gradually concentrates at the top of the structure as the depth of laser processing increases, and the stress value increases significantly. This suggests that electrodes with deeper laser processing depths are more prone to damage at the top when subjected to internal stresses. By quantitatively analyzing the stresses on electrodes with different processing depths (Figure 1b), it can be observed that the peak stress increases slowly between 0–80 μm, while in the 80–100 μm depth interval, the stress increases significantly, indicating that deeper laser processing may affect the structural integrity of the electrodes.
Figure 1c shows the effect of laser processing depth on the Li-ion diffusion process, and the results indicate that the laser-processed structure significantly promotes Li-ion diffusion. Further calculations of Li-ion flux (Figure 1d) revealed that the Li-ion flux increases slowly in the 0–40 μm depth range and rapidly in the 40–100 μm interval, suggesting that the deeper processed structure facilitates the rapid transport of Li-ions.
The design of the electrode structure should follow the principle of maximizing Li-ion flux while minimizing stress. Therefore, we compared the ratio of Li-ion flux to stress at different trench depths, as shown in Figure S1. The findings show that the ratio of Li-ion flux to stress increases rapidly with the deepening of the groove but then levels off when the depth of the groove reaches 80 μm, indicating that construction of groove structures with a depth of 80 μm may be the optimal choice to balance mechanical stability and electrochemical performance.
To verify the simulation results and optimize the thick electrode structure, we obtained thick electrodes by controlling the amount of NMP dripped and using a 1000 μm thick four-sided applicator for coating. Then, groove structures of varying depths were created on the D0 electrode using a femtosecond laser, with adjustments made to the laser power and processing speed. The preparation process is shown in Figure 2.
Figure 3a–d shows the surface and cross-sectional views of the electrode before and after laser processing. As shown in Figure 3a, the surface of the D0 sample is smooth and flat, and the electrode paste is uniformly distributed without cracks and voids in the D0 group. This may be attributed to thorough grinding and homogeneous mixing of the paste. The cross-sectional view shows that the D0 sample is about 100 μm in thickness.
Figure 3b–d presents the surface morphologies of the D30, D80, and D100 samples. Laser processing did not cause significant cracking or delamination between the processed and unprocessed areas. The cross-sectional images indicate that the groove depth varies from shallow to deep and is uniformly distributed across the structure. Notably, the edges of the laser-processed grooves showed no signs of melting or resolidification, suggesting that the ultrashort pulses of the femtosecond laser have a negligible thermal effect. Additionally, the EDS elemental mapping images (Figure 3e,f) of the laser-processed and D0 electrodes indicate that the laser processing did not affect the elemental distribution of the material.
The crystal structures of the D0, D30, D80, and D100 electrodes were characterized using XRD, with the results presented in Figure 3g. Before and after laser processing, the crystal structure of the electrode active material remained unchanged, with all the diffraction peaks matching the standard XRD patterns of LFP (JCPDS card No. 81-1173), without any noticeable peak shifts. This is attributed to the high speed and small heat-affected zone of femtosecond laser processing [16].
To further investigate the material changes during laser processing of the electrode structure, Raman tests were performed (Figure 3h), and vibrational peaks appeared near 950 cm−1, 1350 cm−1, and 1580 cm−1. The faint peak at 950 cm−1 corresponds to the stretching vibration of PO43− in LFP [17]. The vibrational peaks near 1350 cm−1 and 1580 cm−1 correspond to the D and G peaks of the characteristic vibrational peaks of amorphous carbon. The D peak corresponds to the disordered structure of the defects or boundary regions in the carbon material. The G peak corresponds to the planar vibration of the carbon–carbon bond in sp2 hybridized carbon, which is typically found in hexagonal carbon structures, such as those in graphite [18,19]. With the increase in the depth of the laser processing, the stretching vibration peaks of PO43⁻ gradually weakened and eventually disappeared. Degradation caused by the heating of the cathode active layer in certain areas of the heat-affected zone resulted in the masking of the olivine peak at 951 cm−1 [20]. Relative to the untreated electrode samples, the laser-treated electrodes demonstrate a lower intensity ratio of the D and G bands (ID/IG). This indicates that the laser processing facilitates a transition from disordered to ordered carbon structures, leading to a relative increase in sp2-hybridized carbon content and a reduction in the proportion of sp3-hybridized disordered structures [21]. This results in an enhancement of the electrodes’ conductivity, which is crucial for electron transport in thick electrodes. In addition, the D and G peaks in the Raman spectra show significant shifts, which are attributed to the stress or strain changes induced by laser processing, and the generation of a large number of defects during laser processing [22].

3.2. Physical Properties of Electrodes

Efficient electron transport is essential for the electrochemical performance of thick electrodes. The conductivity of the D0, D30, D80, and D100 electrodes was measured using the four-probe method. As shown in Figure 4a, the average conductivity values of the D0, D30, D80, and D100 electrodes were 0.11, 0.15, 0.39, and 0.49 S cm−1, respectively. Laser processing enhances the electronic conductivity of the electrodes. This increase is attributed to the laser-induced rise in sp2 carbon content, which enhances the material’s electrical conductivity [23,24]. Additionally, as the laser processing depth increases, the specific surface area and porosity of the electrode surface also increase, optimizing the electron conduction pathway and reducing resistance in the electron transport process. Consequently, the overall electronic conductivity of the electrode is greatly enhanced. Enhanced electronic conductivity facilitates electron movement within the electrodes, thereby maintaining superior electrochemical performance under high-current charging and discharging conditions. This ultimately may improve the rate capability of the battery [25].
Porosity is an important parameter for evaluating electrode performance. We calculated the porosity of the electrodes with different structural depths based on the porosity calculation formula [26]. As shown in Figure S2, the porosities of the four electrodes are 27.3%, 30.7%, 34.6%, and 39.2%, respectively. The results indicate that the porosity increases with the laser processing depth. The increased porosity can enhance electrolyte wettability and shorten ion diffusion paths, thereby improving the electrochemical performance of the electrodes [27]. For thick electrodes, the wettability of the electrolyte is also a crucial factor in battery performance [9]. As shown in Figure 4b, the contact angles of the D0 and D30 electrodes were 13.36° and 4.68°, respectively, while the D80 and D100 electrodes showed super wettability with a contact angle of 0°. The laser-processed groove structure notably enhances the roughness of the electrode surface, expands the interaction area with the electrolyte, and simultaneously enhances the capillary effect within the groove, causing the electrolyte to spread rapidly along the groove structure upon contact [28]. This groove structure significantly improves the wettability of thick electrodes, effectively reduces the contact angle and internal resistance of the battery, and thus alleviates the inherent response inhomogeneity of thick electrodes [29]. In summary, the conductivity of the electrodes and the homogeneity of the electrochemical reaction are improved after constructing grooves on the thick electrodes, which may contribute to improving the electrochemical performance of the battery.
However, laser processing of the electrode may also lead to specific issues. Figure 4c presents the average mass losses of the D0, D30, D80, and D100 electrodes, which were 0%, 3.99%, 8.34%, and 12.77%, respectively, showing an increasing trend with the increase in depth. This mass loss is primarily ascribed to the evaporation or ablation of the material during laser processing. The reduction in active material may lead to a decrease in the battery’s energy density, which negatively impacts the cost. Therefore, the depth of laser processing should be carefully controlled in electrode design to strike a balance between performance optimization and material loss.
The mechanical properties of the electrode are another potential risk. As shown in Figure 4d, the peel strength of the electrodes decreases with increasing trench depth, which is consistent with the simulation result. When the trench depth increases from 0 μm to 30 μm and 80 μm, the peel strength shows minimal variation, with the D80 electrode exhibiting only a 2.75% reduction compared to the D0 electrode. However, as the trench depth increases from 80 μm to 100 μm, the peel strength of the D100 electrode decreases significantly, showing a reduction of 13.45% relative to the D0 electrode. The laser-processed structure destroys the structural integrity of the electrode, and this damage to the structural integrity increases the brittleness of the pole piece, thereby reducing the peel strength.
In summary, the grooves introduced to the surface of thick electrodes by laser processing weaken the structural integrity of the electrodes to some extent and reduce the amount of active material, which may affect the cycling stability and long cycle life of the battery. However, these processed structures provide shorter and more direct paths for electrolyte penetration and lithium-ion transport within thick (highly active material-loaded) electrodes, facilitating rapid ion transport within the thick electrode layer. In addition, the laser-processed electrodes show significant improvements in conductivity and wettability with the electrolyte. This improvement enhances the kinetics of electron and ion migration. It reduces the resistance to charge transfer and concentration polarization effects within the electrode, potentially leading to improved electrochemical performance under high-current conditions.

3.3. Electrochemical Properties of Electrodes

The obtained electrodes (with an active material loading of 20 mg cm−2) were assembled into half-cells, and their electrochemical performance was compared. Figure 5a displays the charge and discharge curves of the four electrodes during the third cycle. The discharge capacities of the D0, D30, D80, and D100 electrodes are 102.47 mAh g−1, 114.25 mAh g−1, 118.86 mAh g−1, and 128.25 mAh g−1, respectively. The discharge capacity increases with the trench depth, with the D80 and D100 electrodes demonstrating exceptional lithium storage capacity. The charge–discharge curves of the two electrodes exhibit a prolonged response plateau and outstanding stability, which are crucial for maintaining high capacity. Furthermore, the potential differences for the four electrodes are 435.9 mV(D0), 258.2 mV(D30), 213.6 mV(D80), and 335.1 mV(D100), respectively, with the D80 electrode showing the least polarization. This confirms that the D80 structure shortens the ion transport path, enhances electrolyte wettability, and facilitates ion diffusion dynamics, thereby mitigating concentration polarization.
Figure 5b presents the cyclic voltammetry (CV) curves of the four electrodes within the voltage range of 2.5–4.2 V. The CV curves of the four electrodes exhibit a similar pair of distinct cathodic and anodic peaks, corresponding to the phase transition of LFP during the lithiation and delithiation processes [30]. The potential differences of the D0, D30, D80, and D100 electrodes are 504 mV, 565 mV, 363 mV, and 390 mV, respectively, at a scan rate of 0.1 mV s−1. The D80 electrode exhibits a higher, more pronounced, narrower, and more symmetrical redox peak profile. This result indicates that the D80 electrode exhibits enhanced electrochemical kinetics, faster charge diffusion, and reduced polarization [31,32]. This result is consistent with the results of the galvanostatic charge–discharge curves of the electrodes.
The EIS of the four electrodes is shown in Figure 5c. All the samples show a semicircular shape in the high-frequency region, with the diameter value of the semicircle corresponding to the sum of the SEI membrane resistance (RSEI) and the charge-transfer resistance (Rct). The total resistances of the D0, D30, D80, and D100 electrodes are 101 Ω, 84 Ω, 80 Ω, and 66 Ω, respectively. For the D0 electrodes, as the thickness of the active material stack increases, the ion transport path lengthens, and the poorer wettability hinders ion and electron conduction. The reduction in impedance of laser-processed electrodes can be attributed to three main factors: the large specific surface area and shortened transport paths created by the surface structure, and the increased electronic conductivity and improved wettability to the electrolyte. These factors enhance the effective transport of the electrolyte, thereby enabling the rapid movement of ions and electrons.
The laser-processed electrodes exhibited excellent cycling stability and lithium storage kinetics, showing significant rate capability at high magnification. Figure 5d presents the cycling performance of the electrodes with different groove depths at 0.5 C. The initial specific capacities of the D0, D30, D80, and D100 electrodes were 108.43 mAh g−1, 124.57 mAh g−1, 132.98 mAh g−1, and 142.56 mAh g−1, respectively. The results demonstrate that the initial specific capacity of the electrode increases with the depth of the grooves. Among them, the D0 electrode exhibited an average capacity decay rate of 0.721% after 100 cycles, with a final specific capacity of 30.26 mAh g−1. The D80 electrode exhibited the best long-cycle performance, maintaining a capacity of 60 mAh g−1 after 100 cycles with minimal capacity decay. Compared to the D0 electrode, the D80 electrode showed improvements of 1.99 times in specific capacity and 1.82 times in capacity retention after 100 cycles at 0.5 C. In contrast, although the D100 electrode had a higher specific capacity in the first cycle, it showed poorer long-cycle performance, likely due to its mechanical properties being more adversely affected by the deep laser processing. The laser-processed structures significantly enhanced the cycling performance.
Figure 5e shows the rate capability test results of the electrodes under different rate conditions. The laser-processed electrodes demonstrated superior performance compared to untreated electrodes at high rates. At 1 C, the D80 electrode exhibits a specific capacity of 110.65 mAh g−1, while the D0 electrode exhibits a particular capacity of only 56.77 mAh g−1, representing a 1.95-fold improvement in capacity. This performance improvement is mainly due to the structural design, which increases the interfacial area and shortens the transport path, thereby significantly improving the ion dynamics. The D80 electrode demonstrates excellent cycle stability and rate performance.
To further optimize the electrode structure, we designed s with spacings of 30, 90, and 180 μm. The labels are L30, L90, and L180, where ‘L’ stands for the spacing (70 μm was used for the spacing when probing the electrodes at different depths, so D80 = L70). Figure S3a,b illustrates the cycling and rate performance of the electrodes. The results demonstrate that the D80 (L70) electrode performs optimally among the structures investigated. This phenomenon may be attributed to structural differences that directly impact the ion and electron transport pathways. Shorter transport and diffusion paths, along with optimal structural spacing, enhance ion transport properties. Furthermore, smaller pitch structures (such as L30) exhibit the same superior long-cycle performance as D80 (L70) electrodes due to their enhanced interfacial area and shortened ionic transport paths. However, L30 also displays the highest mass loss from a cost perspective. Consequently, D80 (L70) is the optimal structure.

3.4. Kinetic Properties of Electrodes

The kinetic properties are crucial to the cycling stability and rate performance of the electrodes. The CV curves for the first three cycles of the D80 electrode (Figure 4a) and the D0 electrode (Figure 4d) were analyzed within a voltage range of 2.5–4.2 V at a sweep rate of 0.1 mV s−1. The CV curves exhibit an oxidation peak at 3.62 V and a reduction peak at 3.252 V, respectively [30]. The first three cycles of the D80 electrodes exhibit a greater degree of overlap compared to the D0 electrodes. Moreover, the extent of the overlap in the first three cycles indicates the reversibility of the electrode’s redox reaction, suggesting that the D80 electrodes exhibit enhanced cyclic stability. The CV curves of the D80 electrodes (Figure 6b) and the D0 electrodes (Figure 6e) were tested at scan rates of 0.1, 0.2, 0.3, 0.4, and 0.5 mV s−1. At varying scan rates, the CV curves of the D80 electrodes exhibited superior regularity in shape compared to those of the D0 electrodes, indicating that the D80 electrodes are less polarized, with enhanced stability and reversible performance [33]. Moreover, according to the Randles–Sevcik Equation (1),
I p = 2.69 × 10 5 n 1.5 a D 0.5 L i + D L i + 0.5 0.5 v 0.5 C L i
In Equation (Ip), the variables n, a, DLi+, CLi, and v represent the peak current, the number of charge transfers, the geometric electrode area, the concentration of lithium ions in the electrolyte, and the scan rate, respectively. The linear relationship between v0.5 and Ip was obtained through both experimental and computational means for the D80 electrode (Figure 6c) and the D0 electrode (Figure 6f). The slope of the fitted line derived from Equation (1) is proportional to the lithium-ion diffusion rate [32]. Therefore, the D80 electrode exhibits a higher DLi+ than the D0 electrode.
To gain a more comprehensive understanding of the electrochemical kinetics, we utilized the GITT technique to further investigate the lithium storage dynamics of the D80 electrode. A pulse current of 0.01 A g−1 was applied, with the current flow and relaxation times set to 0.5 h and 2 h, respectively. The GITT profiles for the D80 and D0 electrodes are shown in Figure 6g and Figure 6h, respectively. The open-circuit potential after the relaxation period is deemed to be the lithium insertion–extraction equilibrium potential, which for these electrodes is approximately 3.41 V. Notably, the voltage plateau of the D80 electrode is lower compared to the D0 electrode, reflecting a reduction in electrochemical polarization in the former, which is consistent with the observations in Figure 3e. Subsequently, the ion diffusion coefficients of these electrodes were calculated from the GITT curves using Equation (2).
D L i + = 4 L 2 π τ Δ E s Δ E t 2
where τ represents the relaxation time of the current pulse, ΔEs denotes the change in steady-state potential during relaxation, ΔEt is the potential difference during the current pulse, and L is the thickness of the electrode. The lithium-ion diffusion rate was determined to increase by 4.68 times. The laser-machined structures on the electrode surface facilitate Li+ diffusion into the active material and decrease the resistance to charge transfer at the microchannel boundary.

3.5. Mechanisms of Oxygen Vacancy Variation in Electrodes During Laser Processing

It was found that the electrochemical performance generally aligns with the simulation results, with the only exception being that the D80 but not the D100 electrode exhibits the best long-cycle performance and electrochemical kinetics. The discrepancy may stem from the simulation accounting only for the physical structure while overlooking material variations. Based on the material characterization results, the materials exhibit identical chemical compositions in the crystalline phase, suggesting that the observed differences may arise from laser-induced defects in the electrodes. Consequently, further defect characterization was conducted for the laser-processed electrodes.
An electron paramagnetic resonance (EPR) analysis of oxygen vacancies was performed to explore the differences in electrochemical behavior and simulation outcomes. In Figure 7a, it was observed that the oxygen vacancies in the electrode increased after laser processing. The oxygen vacancy content increased and then decreased, with the D80 electrode having the highest oxygen vacancy content among the four electrodes. Table S2 presents the spins per milligram (spins/mg) values of the four electrodes to quantitatively compare the variation in oxygen vacancy concentration in microstructured electrodes with different laser processing depths. The trend of the spins/mg values is consistent with the EPR signal intensity shown in Figure 7a, exhibiting an initial increase followed by a decrease. Specifically, the D0, D30, D80, and D100 electrodes show spins/mg values of 2.62 × 1015, 2.77 × 1015, 3.12 × 1015, and 2.67 × 1015, respectively, with the D80 electrode showing the highest spin count. The oxygen vacancy content increases and then decreases, and the mechanism can be analyzed for the following reasons, as shown in Figure 7b:
Different depth structures are processed by varying the linear velocity at a fixed power. Initially, as the linear velocity decreases, the laser dwell time in the same area increases. The femtosecond laser, with its high pulse energy, rapidly raises the surface temperature of the material in a short time, causing the breakage of metal–oxygen bonds and the creation of oxygen vacancies within the material [34].
Femtosecond lasers have very short pulse durations, in the order of 10−15 s, and this rapid heating and cooling process causes the material surface to enter a non-stationary state. Under non-steady state conditions, oxygen atoms are more likely to escape from the material surface or be removed by the laser, resulting in the formation of oxygen vacancies in the lattice. At this point, the amount of oxygen vacancies increases with increasing laser energy input [35].
If the laser line speed is further reduced, the laser will remain on the material’s surface for too long, resulting in an excessively high surface temperature. This condition causes the material surface to oxidize and the oxygen vacancies to be filled, resulting in a reduction in oxygen vacancies.
The presence of oxygen vacancies can [36,37,38] a. influence the energy band structure of the material, consequently lowering the energy barrier during lithium-ion insertion and extraction; b. provide additional lithium-ion migration channels, which is why the D80 electrode demonstrates excellent electrochemical kinetic performance; c. help alleviate stress during lithium-ion migration, maintaining the stability of the crystal structure. This stability is also a reason the D80 electrode demonstrates excellent long-cycle performance.

4. Conclusions

In summary, based on the combination of simulation and femtosecond laser processing, electrodes with different groove depths were successfully prepared and used to explore better laser electrode structures. Both experimental characterization and simulation results demonstrate that introducing groove structures into thick electrodes can effectively enhance lithium-ion transport kinetics, leading to superior rate performance and cycling stability. Among these electrodes, the D80 electrode, which introduces a significant number of oxygen vacancies during the laser processing, exhibits outstanding electrochemical performance. By integrating simulation analysis of different electrode structures with material characterization, physical property evaluation, and electrochemical testing, optimal structural parameters—specifically a groove depth of approximately 80 μm and a spacing of about 70 μm—were determined. The proposed groove structural parameters are not only applicable to the electrodes studied here but also can be generalized to the design and processing of various thick electrodes, thus aiding in the advancement of next-generation battery technologies.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/coatings15070738/s1, Table S1: Simulate specific parameters; Figure S1: Variation of diffusion flux-to-stress ratio with groove depth. Figure S2. Porosity of the D0, D30, D80, and D100 electrodes. Figure S3: (a) cycle performance at 0.5C and (b) rate performance for L30, L70, L90, and L180. Table S2: Spin count and spins per milligram (spins/mg) values of the D0, D30, D80, and D100 electrode samples.

Author Contributions

Conceptualization, T.Y., D.W., and C.L.; methodology, D.W.; software, L.C.; validation, T.Y.; investigation, X.H. and B.C.; data curation, X.H.; writing—original draft preparation, X.H.; writing—review and editing, D.W. and C.L.; visualization, L.C.; supervision, H.W.; project administration, H.W. All authors have read and agreed to the published version of the manuscript.

Funding

This work was financially supported by the Natural Science Foundation of China [No. U21A2055, No. 52271245].

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Fu, S.; Liu, D.; Huang, F. Synergistic Effect of Government Policy and Market Mechanism on the Innovation of New Energy Vehicle Enterprises. Energy 2024, 295, 130998. [Google Scholar] [CrossRef]
  2. Tian, Y.; Zeng, G.; Rutt, A.; Shi, T.; Kim, H.; Wang, J.; Koettgen, J.; Sun, Y.; Ouyang, B.; Chen, T.; et al. Promises and Challenges of Next-Generation “Beyond Li-Ion” Batteries for Electric Vehicles and Grid Decarbonization. Chem. Rev. 2021, 121, 1623–1669. [Google Scholar] [CrossRef] [PubMed]
  3. Li, M.; Lu, J.; Chen, Z.; Amine, K. 30 Years of Lithium-Ion Batteries. Adv. Mater. 2018, 30, 1800561. [Google Scholar] [CrossRef] [PubMed]
  4. Zhang, G.; Zhu, J.; Dai, H.; Wei, X. Multi-Level Intelligence Empowering Lithium-Ion Batteries. J. Energy Chem. 2024, 97, 535–552. [Google Scholar] [CrossRef]
  5. Xu, J.; Cai, X.; Cai, S.; Shao, Y.; Hu, C.; Lu, S.; Ding, S. High-Energy Lithium-Ion Batteries: Recent Progress and a Promising Future in Applications. Energy Environ. Mater. 2023, 6, e12450. [Google Scholar] [CrossRef]
  6. Kuang, Y.; Chen, C.; Kirsch, D.; Hu, L. Thick Electrode Batteries: Principles, Opportunities, and Challenges. Adv. Energy Mater. 2019, 9, 1901457. [Google Scholar] [CrossRef]
  7. Li, J.; Liang, X.; Panat, R.; Park, J. Microstructure-Controlled 3D Electrodes for Lithium-Ion Batteries. ECS Trans. 2018, 85, 369–378. [Google Scholar] [CrossRef]
  8. Zhao, R.; Liu, J.; Gu, J. The Effects of Electrode Thickness on the Electrochemical and Thermal Characteristics of Lithium Ion Battery. Appl. Energy 2015, 139, 220–229. [Google Scholar] [CrossRef]
  9. Jeon, D.H. Wettability in Electrodes and Its Impact on the Performance of Lithium-Ion Batteries. Energy Storage Mater. 2019, 18, 139–147. [Google Scholar] [CrossRef]
  10. Zhang, X.; Hui, Z.; King, S.; Wang, L.; Ju, Z.; Wu, J.; Takeuchi, K.J.; Marschilok, A.C.; West, A.C.; Takeuchi, E.S.; et al. Tunable Porous Electrode Architectures for Enhanced Li-Ion Storage Kinetics in Thick Electrodes. Nano Lett. 2021, 21, 5896–5904. [Google Scholar] [CrossRef]
  11. Xu, J.; Lei, J.; Ming, N.; Zhang, C.; Huo, K. Rational Design of Wood-Structured Thick Electrode for Electrochemical Energy Storage. Adv. Funct. Mater. 2022, 32, 2204426. [Google Scholar] [CrossRef]
  12. Liu, C.; Qiu, Y.; Liu, Y.; Xu, K.; Zhao, N.; Lao, C.; Shen, J.; Chen, Z. Novel 3D Grid Porous Li4Ti5O12 Thick Electrodes Fabricated by 3D Printing for High Performance Lithium-Ion Batteries. J. Adv. Ceram. 2022, 11, 295–307. [Google Scholar] [CrossRef]
  13. Wang, J.; Wang, M.; Ren, N.; Dong, J.; Li, Y.; Chen, C. High-Areal-Capacity Thick Cathode with Vertically-Aligned Micro-Channels for Advanced Lithium Ion Batteries. Energy Storage Mater. 2021, 39, 287–293. [Google Scholar] [CrossRef]
  14. Wang, Y.; Zhao, Y.; Qu, L. Laser Fabrication of Functional Micro-Supercapacitors. J. Energy Chem. 2021, 59, 642–665. [Google Scholar] [CrossRef]
  15. Park, J.; Hyeon, S.; Jeong, S.; Kim, H.-J. Performance Enhancement of Li-Ion Battery by Laser Structuring of Thick Electrode with Low Porosity. J. Ind. Eng. Chem. 2019, 70, 178–185. [Google Scholar] [CrossRef]
  16. Pfleging, W. A Review of Laser Electrode Processing for Development and Manufacturing of Lithium-Ion Batteries. Nanophotonics 2018, 7, 549–573. [Google Scholar] [CrossRef]
  17. Seo, S.B.; Song, Y.; Choi, Y.R.; Kang, M.; Choi, G.B.; Kim, J.H.; Han, J.H.; Hong, S.; Muramatsu, H.; Kim, M.-Y.; et al. Double-Walled Carbon Nanotubes as Effective Conducting Agents for Lithium Iron Phosphate Cathodes. Carbon 2024, 218, 118731. [Google Scholar] [CrossRef]
  18. Markevich, E.; Sharabi, R.; Haik, O.; Borgel, V.; Salitra, G.; Aurbach, D.; Semrau, G.; Schmidt, M.A.; Schall, N.; Stinner, C. Raman Spectroscopy of Carbon-Coated LiCoPO4 and LiFePO4 Olivines. J. Power Sources 2011, 196, 6433–6439. [Google Scholar] [CrossRef]
  19. Li, Z.; Deng, L.; Kinloch, I.A.; Young, R.J. Raman Spectroscopy of Carbon Materials and Their Composites: Graphene, Nanotubes and Fibres. Prog. Mater. Sci. 2023, 135, 101089. [Google Scholar] [CrossRef]
  20. Lutey, A.H.A.; Fiorini, M.; Fortunato, A.; Ascari, A. Chemical and Microstructural Transformations in Lithium Iron Phosphate Battery Electrodes Following Pulsed Laser Exposure. Appl. Surf. Sci. 2014, 322, 85–94. [Google Scholar] [CrossRef]
  21. Lin, J.; Peng, Z.; Liu, Y.; Ruiz-Zepeda, F.; Ye, R.; Samuel, E.L.G.; Yacaman, M.J.; Yakobson, B.I.; Tour, J.M. Laser-Induced Porous Graphene Films from Commercial Polymers. Nat. Commun. 2014, 5, 5714. [Google Scholar] [CrossRef] [PubMed]
  22. Zhang, P.; Fan, J.; Wang, Y.; Dang, Y.; Heumann, S.; Ding, Y. Insights into the Role of Defects on the Raman Spectroscopy of Carbon Nanotube and Biomass-Derived Carbon. Carbon 2024, 222, 118998. [Google Scholar] [CrossRef]
  23. Shakerzadeh, M.; Xu, N.; Bosman, M.; Tay, B.K.; Wang, X.; Teo, E.H.T.; Zheng, H.; Yu, H. Field Emission Enhancement and Microstructural Changes of Carbon Films by Single Pulse Laser Irradiation. Carbon 2011, 49, 1018–1024. [Google Scholar] [CrossRef]
  24. Kong, D.; Xiao, Z.; Gao, Y.; Zhang, X.; Guo, R.; Huang, X.; Li, X.; Zhi, L. Sp2-Carbon Dominant Carbonaceous Materials for Energy Conversion and Storage. Mater. Sci. Eng. R Rep. 2019, 137, 1–37. [Google Scholar] [CrossRef]
  25. Shi, B.; Shang, Y.; Pei, Y.; Pei, S.; Wang, L.; Heider, D.; Zhao, Y.Y.; Zheng, C.; Yang, B.; Yarlagadda, S.; et al. Low Tortuous, Highly Conductive, and High-Areal-Capacity Battery Electrodes Enabled by Through-Thickness Aligned Carbon Fiber Framework. Nano Lett. 2020, 20, 5504–5512. [Google Scholar] [CrossRef]
  26. Beuse, T.; Fingerle, M.; Wagner, C.; Winter, M.; Börner, M. Comprehensive Insights into the Porosity of Lithium-Ion Battery Electrodes: A Comparative Study on Positive Electrodes Based on LiNi0.6Mn0.2Co0.2O2 (NMC622). Batteries 2021, 7, 70. [Google Scholar] [CrossRef]
  27. Li, B.; Wang, S.; He, P.; Huang, Z.; Mai, B.; Zhang, X.; Chen, Y.; Wen, Y.; Ran, X.; Han, C.; et al. Pore Microstructure and Mass Transfer Dynamics in Thick Electrodes for High Energy Density Lithium-Ion Batteries. Chem. Eng. J. 2025, 511, 161931. [Google Scholar] [CrossRef]
  28. Cao, Y.; Zheng, W.; Hao, B.; Xiao, H.; Cui, Y.; Huang, X.; Shi, B. Structural Engineering-Enabled Joule Heating Effect Cooperated with Capillary Effect Toward Fast Spreading of Droplets for High-Flux Separation of Viscous Emulsion. Small Methods 2023, 7, 2300513. [Google Scholar] [CrossRef]
  29. Zhang, Y.; Wang, J.; Xue, Z. Electrode Protection and Electrolyte Optimization via Surface Modification Strategy for High-Performance Lithium Batteries. Adv. Funct. Mater. 2024, 34, 2311925. [Google Scholar] [CrossRef]
  30. Lin, J.; Sun, Y.-H.; Lin, X. Metal-Organic Framework-Derived LiFePO4 Cathode Encapsulated in O,F-Codoped Carbon Matrix towards Superior Lithium Storage. Nano Energy 2022, 91, 106655. [Google Scholar] [CrossRef]
  31. Li, F.; Tao, R.; Tan, X.; Xu, J.; Kong, D.; Shen, L.; Mo, R.; Li, J.; Lu, Y. Graphite-Embedded Lithium Iron Phosphate for High-Power–Energy Cathodes. Nano Lett. 2021, 21, 2572–2579. [Google Scholar] [CrossRef] [PubMed]
  32. Chen, Y.; Chen, L.; Jiang, L.; Zhu, X.; Li, F.; Liu, X.; Mai, K.; Zhang, Z.; Fan, X.; Lv, X. Multifunctional Radical Polymers-Enabled Rapid Charge/Discharge and High Capacity for Flexible Self-Standing LiFePO4/PETM/SWNT Hybrid Electrodes. Chem. Eng. J. 2024, 482, 149008. [Google Scholar] [CrossRef]
  33. He, H.; Luo, D.; Zeng, L.; He, J.; Li, X.; Yu, H.; Zhang, C. 3D Printing of Fast Kinetics Reconciled Ultra-Thick Cathodes for High Areal Energy Density Aqueous Li–Zn Hybrid Battery. Sci. Bull. 2022, 67, 1253–1263. [Google Scholar] [CrossRef] [PubMed]
  34. Li, Q.; Sun, X.; Mei, X.; Wang, L.; Wang, W.; Cui, J. High-Quality Femtosecond Laser Cutting of Battery Electrodes with Enhanced Electrochemical Performance by Regulating the Taper Angle: Promoting Green Manufacturing and Chemistry. Appl. Energy 2025, 377, 124452. [Google Scholar] [CrossRef]
  35. Liang, M.; Li, X.; Jiang, L.; Ran, P.; Wang, H.; Chen, X.; Xu, C.; Tian, M.; Wang, S.; Zhang, J.; et al. Femtosecond Laser Mediated Fabrication of Micro/Nanostructured TiO2- Photoelectrodes: Hierarchical Nanotubes Array with Oxygen Vacancies and Their Photocatalysis Properties. Appl. Catal. B-Environ. 2020, 277, 119231. [Google Scholar] [CrossRef]
  36. Hou, W.; Feng, P.; Guo, X.; Wang, Z.; Bai, Z.; Bai, Y.; Wang, G.; Sun, K. Catalytic Mechanism of Oxygen Vacancies in Perovskite Oxides for Lithium–Sulfur Batteries. Adv. Mater. 2022, 34, 2202222. [Google Scholar] [CrossRef]
  37. Wei, R.; Lu, Y.; Xu, Y. The Role of Oxygen Vacancies in Metal Oxides for Rechargeable Ion Batteries. Sci. China Chem. 2021, 64, 1826–1853. [Google Scholar] [CrossRef]
  38. Ye, L.; Zhou, Y.; Zhao, Y.; Feng, L.; Wen, Z.; Zhao, L.; Jiang, Q. Engineering Oxygen Vacancy on Iron Oxides/Hollow Carbon Cloth Electrode toward Stable Lithium-Ion Batteries. Chem. Eng. J. 2020, 388, 124229. [Google Scholar] [CrossRef]
Figure 1. Simulated (a) stress distribution, (b) maximum stress value, (c) lithium-ion diffusion distribution, and (d) maximum lithium-ion flux for electrodes of different depths.
Figure 1. Simulated (a) stress distribution, (b) maximum stress value, (c) lithium-ion diffusion distribution, and (d) maximum lithium-ion flux for electrodes of different depths.
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Figure 2. Schematic diagram illustrating the preparation and processing of thick electrodes.
Figure 2. Schematic diagram illustrating the preparation and processing of thick electrodes.
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Figure 3. Material characterization of D0, D30, D80, and D100 electrodes: (ad) cross-sectional SEM images, with insets showing the planar SEM images; EDS elemental mapping images of (e) laser-treated structured electrode and (f) untreated LFP electrode; (g) XRD spectra; (h) Raman spectra.
Figure 3. Material characterization of D0, D30, D80, and D100 electrodes: (ad) cross-sectional SEM images, with insets showing the planar SEM images; EDS elemental mapping images of (e) laser-treated structured electrode and (f) untreated LFP electrode; (g) XRD spectra; (h) Raman spectra.
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Figure 4. (a) Electronic conductivity; (b) contact angle; (c) mass loss; and (d) peel strength of the D0, D30, D80, and D100 electrodes.
Figure 4. (a) Electronic conductivity; (b) contact angle; (c) mass loss; and (d) peel strength of the D0, D30, D80, and D100 electrodes.
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Figure 5. Electrochemical performance of LIB samples. (a) Constant-current charge–discharge curves, with the inset illustrating electrode polarization; (b) CV curves; (c) EIS spectra; (d) cycling performance at 0.5 C; (e) rate capability of the D0, D30, D80, and D100 electrodes.
Figure 5. Electrochemical performance of LIB samples. (a) Constant-current charge–discharge curves, with the inset illustrating electrode polarization; (b) CV curves; (c) EIS spectra; (d) cycling performance at 0.5 C; (e) rate capability of the D0, D30, D80, and D100 electrodes.
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Figure 6. Kinetic analysis of LIBs. (a) CV curves of D80 and (d) D0 electrodes for the first three cycles at 0.1 mV s−1; (b) CV curves of D80 and (e) D0 electrodes at 0.1–0.5 mV s−1; (c) linear fitting of the peak current densities versus the square root of the scan rate (v0.5) for the D80 electrode and (f) D0 electrode; Gitt curves for the (g) D80 and (h) D0 electrodes; (i) schematic representation of the Laser-LFP electrode and the Col-LFP electrode.
Figure 6. Kinetic analysis of LIBs. (a) CV curves of D80 and (d) D0 electrodes for the first three cycles at 0.1 mV s−1; (b) CV curves of D80 and (e) D0 electrodes at 0.1–0.5 mV s−1; (c) linear fitting of the peak current densities versus the square root of the scan rate (v0.5) for the D80 electrode and (f) D0 electrode; Gitt curves for the (g) D80 and (h) D0 electrodes; (i) schematic representation of the Laser-LFP electrode and the Col-LFP electrode.
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Figure 7. (a) EPR spectra; (b) schematic illustration of the changes in oxygen vacancies during laser processing.
Figure 7. (a) EPR spectra; (b) schematic illustration of the changes in oxygen vacancies during laser processing.
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MDPI and ACS Style

Han, X.; Chen, L.; Wang, H.; Chen, B.; Yang, T.; Wang, D.; Liang, C. Femtosecond Laser-Modulated Oxygen Vacancies in LiFePO4 Thick Electrodes for Rapid Ion Transport. Coatings 2025, 15, 738. https://doi.org/10.3390/coatings15070738

AMA Style

Han X, Chen L, Wang H, Chen B, Yang T, Wang D, Liang C. Femtosecond Laser-Modulated Oxygen Vacancies in LiFePO4 Thick Electrodes for Rapid Ion Transport. Coatings. 2025; 15(7):738. https://doi.org/10.3390/coatings15070738

Chicago/Turabian Style

Han, Xiaowei, Lu Chen, Hongshui Wang, Ban Chen, Tai Yang, Donghui Wang, and Chunyong Liang. 2025. "Femtosecond Laser-Modulated Oxygen Vacancies in LiFePO4 Thick Electrodes for Rapid Ion Transport" Coatings 15, no. 7: 738. https://doi.org/10.3390/coatings15070738

APA Style

Han, X., Chen, L., Wang, H., Chen, B., Yang, T., Wang, D., & Liang, C. (2025). Femtosecond Laser-Modulated Oxygen Vacancies in LiFePO4 Thick Electrodes for Rapid Ion Transport. Coatings, 15(7), 738. https://doi.org/10.3390/coatings15070738

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