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Theories for triboelectric nanogenerators: A comprehensive review

  • He Zhang , Linjie Yao , Liwei Quan and Xianglong Zheng EMAIL logo
Published/Copyright: July 22, 2020
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Nanotechnology Reviews
From the journal Nanotechnology Reviews Volume 9 Issue 1

Abstract

Triboelectric nanogenerators (TENGs) have attracted much attention as energy harvesting and sensor devices. Compared with experimental means, theoretical analysis is of low cost and time-saving for behavior prediction and structural optimization and is more powerful for understanding the working mechanism of TENGs. In this article, the theoretical system for performance simulation of TENGs has been reviewed systematically. The parallel-plate capacitor model, the distance-dependent electric field (DDEF) model, figures of merit (FOMs), and multi-parameter analysis are introduced. The parallel-plate capacitor model is the most fundamental model of TENGs, which is used to simulate the output of TENGs with planar configurations. For non-planar TENGs, the DDEF model is proposed, according to which the electric field is assumed to be distance-dependent rather than being uniform throughout the space. Further, to realize the standardization of TENGs, a series of FOMs are proposed as the standardized evaluation tools for TENGs’ output performance, which are used to reflect the influence of device parameters on the output from different aspects. Lastly, the multi-parameter analysis is introduced to consider the impact of multiple parameters on the output of TENGs simultaneously. These theories constitute the theoretical simulation system of TENGs, which could be used to guide the experimental work on TENGs and boost device optimization in commercial manufacturing.

Keywords: triboelectric nanogenerator; parallel-plate capacitor model; distance-dependent electric field model; figure of merit; multi-parameter analysis

1 Introduction

Energy harvesting devices and technologies have attracted much attention recently. Environmental energy is omnipresent and within our reach. There are various energy harvesting devices for collecting different types of energies. For example, the piezoelectric effect for mechanical energy harvesting [1], thermal energy harvesters [2], light-driven micro/nanomotors based on the photothermal effect [3], etc. Moreover, the triboelectric nanogenerator (TENG) is a novel type of mechanical energy capture device based on the triboelectric effect. As early as BC, the ancient Greeks had discovered the phenomenon of the triboelectric effect by observing the attraction between rubbed amber and lightweight particles. However, this phenomenon is usually considered harmful in both daily life and industrial manufacturing, and its benefit had not been well recognized until the invention of the TENG. Since being reported for the first time in 2012 by Wang’s group [4], TENGs have attracted great attention. The original TENG contains two dissimilar dielectric films facing each other, with electrodes attached to the top and the bottom surfaces of the two films. Its basic function is to convert mechanical energy into electricity through the triboelectric effect. Based on this basic function, there are two typical applications of TENGs, first, as mechanical energy harvesters, including the mechanical energy of structural vibration [5], wave energy [6], and biomechanical energy [7,8], acting as power sources for other electronic devices; second, applied as self-powered sensors to monitor motion [9,10], pressure [11], flow rate [12], respiration [13,14], etc. To facilitate their application in various areas, four operational modes with different structures have been developed: contact–separation mode, sliding mode, single electrode mode, and free-standing mode. Yet, superior design and optimization methods of TENGs must be realized to accomplish the commercialization of various applications. In this case, lots of experimental and theoretical research studies have been carried out to understand the working mechanism of the device and improve its output performance.

For performance optimization of TENGs, lots of studies have been reported by experimental trial-and-error means, which may be generally divided into the following categories: (1) application of composite materials. Fabricating composite materials is a good method to improve the performance of materials [15]. Composite materials are developed to enhance the performance of tribo-pairs by using a doping method or laminated composites. For instance, doping nanoparticles (e.g., Au [16], graphite [17], and BaTiO3 [18]) into dielectric materials (e.g., polydimethylsiloxane [PDMS]) may help to enhance the output performance. The multilayer material design aims to enhance the electric potential between tribo-pairs to increase the output, by adding a middle layer (Au nanoparticle-coated Al layer) between the original tribo-pair [19] or putting multiple layers together to form a composite layer (by adding polystyrene and carbon nanotubes into polyvinylidene fluoride [20], or using the PDMS–gold–PDMS multilayer material [21]). (2) Material property modification. In nanotechnology, surface modification, adjustment of the microstructure, and modification of the surface morphology of materials are all effective means to improve material properties [22,23]. Property modification is realized primarily through physical and chemical means. The former is to change the surface morphology of materials to increase the output performance, according to which various micro-/nano-textured patterns of the surface are designed for tribo-pairs, and their influence on the output of TENGs was studied experimentally [24,25,26,27]. In chemical means, Liu et al. produced a two-step anodization method of Ti sheets to increase triboelectrically generated surface charge and thereby realized significant increment of output voltage and current [28]. Analogously, Kim et al. found that ultraviolet irradiation of the PDMS surface can also help to improve the performance of PDMS-based TENGs [29]. (3) Electric circuit design. Typically, TENGs show large matching impedances, high output voltage, and low output current, which restrict the efficiency of TENGs. The optimal design of the power management circuit for TENGs can substantially enhance the output voltage and energy transfer efficiency. Specifically, the methods used in power management include automatic switches between serial-connected and parallel-connected capacitors [30], LC oscillation [31,32], self-management mechanisms [33], etc. Besides, a low cost approach to current measurement of TENGs has been proposed using appropriate circuit design [34]. (4) Mechanical loading optimization. Contact pressures [35,36,37,38], friction mode [39], and contact area [40] are proved to have great effects on the output performance. In this case, various studies have been carried out to investigate their influence on the output performance of TENGs. It is found that the open circuit output voltage of TENGs is directly proportional to the contact force [35] and contact area [40]. Through these experimental trial-and-error means, lots of contributions have been made to achieve the improvement of TENGs. However, without the guidance of theories, the blind trial-and-error means will cause a lot of unnecessary waste of time and resources, resulting in high cost and low efficiency. Due to the requirement for experimental accuracy, the cost of experimental supporting equipment may be quite high [34]. And all of the preparation of devices, complex experimental processes, data analysis, etc. will take a lot of time. What is more, it is difficult to figure out the specific working mechanism of the device through experimental means.

Compared with experimental means, theoretical analysis methods are more useful and powerful for deepening the understanding of the working mechanism of devices and providing optimization strategies for device structural design, material selection, operation conditions, etc. [41]. In recent years, some studies have attempted to explore the mechanism of the triboelectric effect from the Maxwell displacement current [42] and the quantum point of view [43]. Based on the Maxwell displacement current equations, the theoretical models for four modes of TENGs have been established [44,45,46,47,48]. However, these theoretical models are established for parallel plate capacitors, and thereby they are unable to describe other complicated surface topographies. To address this problem, a unified theoretical model for TENGs was proposed based on the concept of the distance-dependent electric field (DDEF) [49], which can be applied to a wide range of geometries and surface topographies.

Based on these research studies on the working mechanism of TENGs, the performance optimization work is carried out. These optimization research studies included a series of parameter analysis studies focusing on the relationship between the parameters and the output performance. Besides, to establish a standard for evaluating the different architectures of a TENG device, the material FOM, performance FOM, and device FOM were proposed in succession [50,51]. To make the FOM more realistic, the breakdown effect was taken into consideration to modify the material and performance FOM [52,53]. Although various optimization methods have been proposed based on the theoretical models established for TENGs, most of them utilize the single parameter analysis method, which focuses on investigating the effect of a single variable on device performance with others fixed. Yet, these optimization results may not be the best as many parameters are correlated. To solve this problem, the general optimization methods based on dimensionless analysis and the multi-parameter analysis method are conducted [54,55]. This method makes it possible to realize the optimization of devices by tuning different physical parameters simultaneously, which may reveal the real situation of a TENG, that is, its output performance is influenced simultaneously and coherently by plenty of factors.

In this article, we primarily focus on the theoretical research studies in mechanism investigation and optimization of TENGs. In Section 2, the fundamental principles of the triboelectric effect and theoretical approaches for studying the mechanisms of TENGs are presented first, based on which the theoretical prediction theories of TENGs with parallel-plate capacitor and DDEF models are introduced. For quantification of TENGs’ output performance, the material, performance, and device FOMs are established based on the capacitor model in Section 3. With material, performance, and device FOM, the optimization of various TENG structures is realized. Further, in Section 4, the multi-parameter analysis method of output performance based on the dimensionless forms is derived, based on which the general optimization strategies for TENGs are presented. Finally, we summarize the characteristics of these theoretical approaches and propose some prospects in Section 5.

2 Fundamental theories of TENGs

TENGs are based on the triboelectric effect and electrostatic induction. When the tribo-pairs contact–separate from each other, both of the dielectric surfaces generate charges of opposite signs because of the triboelectric effect. Simultaneously, charges are induced on the electrodes under the action of electrostatic induction. The charges in metal electrodes could transfer via the external circuit to balance the potential difference. This forms the TENG’s output current, which is essentially Maxwell’s displacement current. To describe the generation mechanism of displacement current, the fundamental theories of TENGs are established, based on which two main theoretical models for TENGs are developed: the parallel-plate capacitor model and the DDEF model. When the device has a planar configuration and the thickness of the dielectric is far smaller than its plane size, the parallel-plate capacitor model can be used to describe the electrical performance of TENGs. However, when the device has a non-planar configuration, the parallel-plate capacitor model no longer applies. Instead, the DDEF model is proposed for non-planar TENGs, which is more accurate because of the introduction of the DDEF.

2.1 The origin of the output current of TENGs

The concept of displacement current was first raised by Maxwell in 1861. The displacement current is the partial derivative of the electrical displacement flux with respect to time rather than the current that is caused by charges moving in a directional motion. Wang revealed the relationship between TENGs’ output current and displacement current, which explains the origin of TENGs’ output current from an essential perspective [42]. Maxwell’s displacement current is defined as follows:

(1) J D = ∂ D ∂ t = ε 0 ∂ E ∂ t + ∂ P ∂ t ,

where D is the displacement field; ε 0 is the permittivity in vacuum; E is the electric field; and P is the polarization field.

The corresponding displacement current density of a TENG is as follows:

(2) J D = ∂ D Z ∂ t = ∂ σ I ( z , t ) ∂ t ,

where σ I(z,t) is the charge density accumulated in the electrode.

On the other hand, the output current of TENGs can also be represented by

(3) I = d Q d t = A d σ I d t .

We may see from equations (2) and (3) that the origin of TENGs’ output is essentially Maxwell’s displacement current.

2.2 The parallel-plate capacitor model for TENGs

As mentioned above, the parallel-plate capacitor model can be applied to TENGs with planar configurations. Because of the inherent capacitive behavior of TENGs, the parallel-plate capacitor model can be used to construct the theoretical frame under two basic assumptions [45,48]: (1) the charges are assumed to be evenly distributed on the surface of the dielectrics; (2) there is only an electric field component perpendicular to the plate inside the dielectric, and the component parallel to the plate is neglected. The V–Q–x relationship is an important part of the parallel-plate capacitor model for TENGs. The V–Q–x relationship formulates the relationship of three important parameters for TENGs: the output voltage V, the amount of transferred charges between the two electrodes Q, and the separation distance x, with the expression of

(4) V = − 1 C ( x ) Q + V oc ( x ) ,

where V is the electrical potential difference between the two electrodes, V oc ( x ) is the potential difference contributed by the polarized charges, and − Q / C ( x ) is the potential difference contributed by the transferred charges. Both contact-mode and sliding-mode TENGs conform to equation (4) and they have different expressions of V oc ( x ) and C ( x ) .

2.2.1 Contact-mode TENGs

Contact-mode TENGs have two categories according to the materials used and device structures: dielectric-to-dielectric contact (Figure 1a) and conductor-to-dielectric contact (Figure 1b) structures. According to the basic assumptions, the length and the width of tribo-pairs should be far greater than their thickness, and the area size of the electrodes should be much larger than their separation distance. With the above model and assumptions, V oc ( x ) and C ( x ) of contact-mode TENGs can be figured out based on electrodynamics as V ( x ) oc = σ x ( t ) / ε 0 and C ( x ) = ε 0 S / ( d 0 + x ( t ) ) , where ε 0 is the vacuum permittivity, σ is the charge density at the contact surface of the tribo-pair, and S is the contact area of the tribo-pair. The equivalent thickness d 0 is defined as d 1 / ε r 1 + d 2 / ε r 2 , and for conductor-to-dielectric contact TENGs, d 1 is equal to 0.

Figure 1 Basic structure and model of a contact-mode TENG: (a) dielectric-to-dielectric contact-mode TENG; (b) conductor-to-dielectric contact-mode TENG [41,54].
Figure 1

Basic structure and model of a contact-mode TENG: (a) dielectric-to-dielectric contact-mode TENG; (b) conductor-to-dielectric contact-mode TENG [41,54].

Substituting the expressions of V oc ( x ) and C ( x ) mentioned above into equation (4), we will have the V–Q–x relationship of contact-mode TENGs as follows [45]:

(5) V = − Q S ε 0 ( d 0 + x ( t ) ) + σ x ( t ) ε 0 .

Combining Ohm’s law and equation (5), we will have the first-order ordinary differential equation about Q as follows:

(6) R d Q d t = − Q S ε 0 ( d 0 + x ( t ) ) + σ x ( t ) ε 0 ,

which could be used to describe TENGs’ output properties. When the initial condition Q ( t = 0 ) = 0 is adopted, equation (6) can be solved and the expression of Q will be obtained. According to the relationship between Q and V, the output voltage will be as follows:

(7) V ( t ) = R d Q d t = − σ d 0 ε 0 + σ ( d 0 + x ( t ) ) ε 0 × exp − 1 R S ε 0 d 0 t + ∫ 0 t x ( t ) d t + σ d 0 ε 0 d 0 + x ( t ) R S ε 0 × ∫ 0 t exp − d 0 ( t − τ ) R S ε 0 − 1 R S ε 0 ∫ τ t x ( z ) d z d τ .

2.2.2 Sliding-mode TENGs

Similar to the contact-mode TENGs, the sliding-mode TENGs can also be divided into two categories according to the difference of materials used as triboelectric layers: dielectric-to-dielectric (Figure 2a) and conductor-to-dielectric (Figure 2b). For sliding-mode TENGs, two conditions need to be met to satisfy the basic assumptions. First, the length l should be much larger than d 1 and d 2, otherwise the electric field component parallel to the plate cannot be ignored. Second, the separation distance x should be smaller than 0.9l. If not, due to the too-small overlapping area, the capacitance of the overlapping area will no longer represent the capacitance of the device. In addition, the charge distribution on the electrodes and dielectric surfaces will also deviate from the basic assumption. When the above two requirements are met, the edge effect can be neglected and the total capacitance has the expression as C ( x ) = ε 0 w ( l − x ) / d 0 .

Figure 2 Theoretical model of a sliding-mode TENG: (a) dielectric-to-dielectric sliding-mode TENG; (b) conductor-to-dielectric sliding-mode TENG [41,55].
Figure 2

Theoretical model of a sliding-mode TENG: (a) dielectric-to-dielectric sliding-mode TENG; (b) conductor-to-dielectric sliding-mode TENG [41,55].

The expression of V oc ( x ) is dependent on the charge distribution on the electrodes. When the two dielectric plates separate laterally, there exist charges on the lower surface of dielectric 1 and the upper surface of dielectric 2 at the non-overlapped part. Under the above assumptions, the surface charge density for the overlapped region on the top and bottom electrodes is σ and − σ , respectively. And the surface charge density for the non-overlapped region on the top and bottom electrodes is σ x / ( l − x ) and − σ x / ( l − x ) . Combining the charge distribution mentioned above and Gauss theorem, we can obtain that V oc = σ x d 0 / ( ε 0 ( l − x ) ) .

Substituting the expressions of V oc ( x ) and C ( x ) mentioned above into equation (4), we will have the V–Q–x relationship of sliding-mode TENGs as follows:

(8) V = − d 0 w ε 0 ( l − x ) Q + σ d 0 x ε 0 ( l − x ) .

Combining Ohm’s law and equation (8), the first-order ordinary differential equation about Q could also be obtained, which could be solved with the initial condition Q ( t = 0 ) = 0 . And according to the relationship between Q and V , the output voltage of sliding-mode TENGs could be obtained as follows:

(9) V = σ d 0 ε 0 l l − x ( t ) exp − d 0 ε 0 R S ∫ 0 t l l − x ( t ) d t ′ + d 0 ε 0 R S l l − x ( t ) ∫ 0 t exp d 0 ε 0 R S ∫ t t ′ l l − x ( δ ) d δ d t ′ − 1 .

In addition, although the free-standing triboelectric-layer based nanogenerators (FTENGs) and single electrode triboelectric nanogenerators (SETENGs) have special structures, their output performance can also be simulated with the capacitor model because they can still be treated as capacitors with their output expressed by equation (4) [46,47].

There are two kinds of FTENGs: contact-mode (CFTENG in Figure 3a) and sliding-mode free-standing triboelectric nanogenerator (SFTENG in Figure 3b). The capacitance ratio between the two electrodes and charged surfaces changes with the movement of the free-standing layer, thereby generating the output current. For CFTENGs, the theoretical analysis indicates that V oc and Q sc have a linear relationship with displacement x, which provides a potential method for displacement sensing (Figure 3a). SFTENGs have superior tolerance to the free-standing height h (Figure 3b), which enables them to work with high performance in non-contact mode [47].

Figure 3 Typical models of a (a) dielectric CFTENG, (b) dielectric SFTENG, and (c) dielectric-to-dielectric contact-mode SETENG [46,47].
Figure 3

Typical models of a (a) dielectric CFTENG, (b) dielectric SFTENG, and (c) dielectric-to-dielectric contact-mode SETENG [46,47].

In contact-mode SETENGs (Figure 3c), the portion of the capacitance between the dielectric and the reference electrode that is not electrostatically shielded by the primary electrode affects the output behavior directly. And the maximum value of charge transfer efficiency of SETENGs can only reach 50% compared to 100% in paired-electrode structured TENGs. The basic output characteristics of sliding-mode SETENGs are similar to those of contact-mode SETENGs. [46]

It should be pointed out that the accuracy of the parallel-plate capacitor model is limited by the configurations of devices and the edge effect. If the TENG device has a palpable non-planar configuration, the parallel-plate capacitor model is not applicable. As for the edge effect, it is mainly caused by the uneven distribution of charges on the edges of electrodes. For example, when the displacement x is close to the length l of the tribo-pair during the working process (Figure 2), the charge density at the edges will be too high causing an obvious edge effect [48]. As long as the TENG devices are designed to meet the basic assumptions and specific conditions listed above, the error caused by the edge effect can be neglected.

2.3 The DDEF model for TENGs

As mentioned in Section 2.2, the parallel-plate capacitor model is only applicable to TENGs with a planar form. To provide a universal method to estimate the properties of TENG devices with a non-planar form, the DDEF model is proposed [49,56]. Instead of regarding the triboelectric layer as an infinite plate, the DDEF model takes into account the change in the electric field with the spatial position and the overall electric fields acting in a TENG, which is more reasonable for simulation of TENGs with limited size. The electric field generated by the charged surface is calculated by integrating the charged micro-elements along the charged surface. Hence this electric field is distance-dependent rather than being uniform throughout the space. Because of the integration process, even if the charged surface is non-planar, the model is also theoretically applicable, which enables a more flexible design and expands the development potential of TENG devices.

In general, the DDEF model provides a simulation method both for planar and non-planar TENG devices, in which the DDEF is the core. As for the planar configuration (Figure 4a), there is a rectangular plate (L × W) with the charge density σ on its surface. In this case, the electric field over the midpoint along the z axis can be calculated utilizing Gauss’s law, which is

(10) E z = ∫ d E Z = σ π ε arctan L / W 2 ( z / W ) 4 ( z / W ) 2 + ( L / W ) 2 + 1 = σ π ε f ( z ) ,

where z is the distance to the surface and ε is the permittivity of the medium. Equation (10) is the expression of the DDEF for a rectangular plane.

Figure 4 Deriving the DDEF equations for the (a) planar, (b) convex, and (c) concave TENG surfaces [49].
Figure 4

Deriving the DDEF equations for the (a) planar, (b) convex, and (c) concave TENG surfaces [49].

As for non-planar surfaces, the DDEF can also be calculated using the same method. Taking an arc curved surface with a diameter of w and a length of L as a typical example, the overall electric field over the midpoint of the convex surface (Figure 4b) along the z axis can be represented as follows:

(11) E z , convex = σ L π ε 0 ∫ 0 w / 2 z + w 2 − w 2 4 − x 2 R 1 2 4 R 1 2 + L 2 d x ,

where

R 1 2 = x 2 + z + w / 2 − w 2 / 4 − x 2 2 .

Similarly, the overall electric field over the midpoint of the concave surface (Figure 4c) along the z axis can be represented as follows:

(12) E z , concave = σ L π ε 0 ∫ 0 w / 2 z − w 2 + w 2 4 − x 2 R 2 2 4 R 2 2 + L 2 d x ,

where

R 2 2 = x 2 + z − w / 2 + w 2 / 4 − x 2 2 .

With the expression of the DDEF, the electric potential of the two electrodes can be calculated by considering the contribution of free charges on electrodes and triboelectric charges on dielectric surfaces. Then combining Ohm’s law, a first-order ordinary differential equation similar to equation (6) could be obtained.

The DDEF model has been proven to be applicable to contact-mode TENGs, single electrode mode TENGs, and free-standing triboelectric layer mode TENGs [56]. Modifying the DDEF function f ( z ) according to the configuration of the TENG device, the DDEF model can be applied to various non-planar TENG devices. However, if the shape of the curved surface is too complicated, the integral expression of the corresponding electric field may be difficult to calculate accurately. Further research is needed to confirm the convenience and universality of the application of the DDEF model.

2.4 Single parameter analysis and optimization for TENGs

The establishment of the parallel-plate capacitor model and the DDEF model for TENGs provides the theoretical basis for output behavior analysis and structural optimization of TENGs with planar or non-planar forms. Some achievements in working mechanism analysis and output promotion based on these theoretical models have been obtained.

Using the parallel-plate capacitor model, Niu et al. studied the relationship between the resistance and the output performance of TENGs with four different modes by specifying the device parameters under the excitation with constant velocity motion or harmonic motions [45,46,47,48]. The influence of different resistances on output performance was analyzed theoretically with this model. Accordingly, some output characteristics of TENGs were revealed. For example, the different output characteristics under different external resistances result in “three working regions” of TENGs, which could be explained both physically and mathematically [45]. By investigating the effect of resistance on the output of the device, Niu et al. gave the expression of optimum resistance, which maximizes the output power of a TENG [45]. For FTENGs and SETENGs, the influence of some structural parameters on output properties and load characteristics is investigated by a similar method [46,47]. For example, FTENGs and SETENGs have a fixed gap distance between the two electrodes, and it is indicated that the gap distance affects the performance by changing the capacitance of the TENG. Corresponding experiments also support the numerical results.

Utilizing the DDEF model, the relationships between the structure parameters and the TENG outputs are investigated [49], which provide both the qualitative judgment and the basis of quantitative calculation. The effects of surface area and layer thickness on output performance are analyzed [49], which indicates that a larger surface area with thinner layer thickness may result in better output. And these results were validated by experimental results to prove the accuracy of the DDEF model.

In addition, we firmly believe that these theoretical models will give effective guidance for TENGs’ practical application or experimental investigation. Theoretical models may be used to predict the effect of device parameters on output in advance, according to which the experiments could be carried out more purposefully and efficiently. The theoretical guidance will effectively prevent the waste of time and resources caused by blind trial-and-error experimental processes. For example, Jiang et al. studied the load characteristics of TENGs considering the air breakdown effect [57]. Based on the theoretical prediction, the corresponding experiment was well designed and optimization strategies were obtained.

Generally speaking, the parallel-plate capacitor and DDEF models are two basic models for the simulation of TENGs. In the parallel-plate capacitor model, the electric field is obtained under the assumption of an infinite charged plane. The tribo-pairs are parallel to each other, and the electric field between the tribo-pair is uniformly distributed. Therefore, the TENG devices should have planar configurations and satisfy some assumptions until they can be simulated with the parallel-plate capacitor model. While in the DDEF model, the tribo-pair can be non-parallel and of arbitrary curved configurations. The electric field of the charged surface is calculated by integrating the charged micro-elements along the charged surface, which brings a wider range of applications for the DDEF model.

3 Figure of merit (FOM) for standardization of TENGs

The optimization methods mentioned in the previous section regard several major output characteristics (open circuit voltage V oc, the maximum output power, etc.) as the evaluation indexes of TENGs’ output performance. This is a direct but one-sided approach because these indexes only characterize the peak values which TENGs achieve instantaneously and they cannot reflect the effect of the device itself on the output of TENGs. What’s more, for diverse TENGs which have different structures, materials, contact areas, resistances, etc. it is difficult to assess and compare the performance of all these different TENGs just with the V oc , Q sc , and output power. Therefore, a standardized characterization method is needed to quantitatively evaluate the performance of different kinds of TENGs, which is of great significance for the commercialization and mass production of TENGs. Different FOMs for TENGs are thereby proposed as standard methods: the material FOM, device FOM, and performance FOM [50,51]. They reflect the output of TENGs and the influence of device parameters on the output from different angles.

3.1 The material FOM of TENGs

Practice has pointed out that the material used in the triboelectric layer affects the performance of TENGs directly. Thus, the material FOM (FOMm) is derived to evaluate the performance of TENGs from the material perspective and it serves as a material evaluation criterion [50]. According to equations (5) and (8), the transferred charge Q and output voltage V are dependent on the surface charge density σ showing a linear relationship. In other words, when all other conditions are the same, the increment of σ will lead to the proportional increase of output voltage and a squared growth of the average output power. The possible maximum surface charge density is directly determined by the type of material. Thus, the surface charge density is used to define the FOMm, which is given as follows: [50]

(13) FOM m = σ 2 ( C 2 / m 4 ) ,

The FOMm represents the contribution of material property to the output power, and it only contains the parameter σ. Hence, it is of great importance to obtain the corresponding surface charge density σ of different materials. Although there has been a triboelectric series that evaluates triboelectric performances of many materials, it is just a qualitative criterion. Therefore, a method is developed to quantify the triboelectric series [58]. To ensure the intimate contact between the tribo-pair, liquid metal is used as one of the triboelectrification materials. The accurate value of σ for one kind of material is measured by contacting and separating it from the liquid metal under strictly controlled experimental conditions. Through this method, the triboelectric charge density of a series of commonly used materials has been acquired [50,58]. With this quantitative triboelectric series, it is convenient to choose a suitable material during the design phase and assess the influence of the material via FOMm.

3.2 The device FOM of TENGs

In addition to the influence of the material, other device parameters related to the structure should be considered because different structures and structure parameters also remarkably affect the output performance and characteristics. Structure parameters are the most intuitive design parameters used directly in the design. The selection and optimization of structure parameters are inevitable and irreplaceable. The device FOM (FOMdevice) can help to find the optimized structure parameters [51].

As demonstrated in Section 2, a TENG can be regarded as a capacitor from the device structure and working mechanism points of view, which means that the device capacitance will affect the performance of the TENG notably. Structural parameters are important factors affecting the device capacitors. However, the influence of capacitance has not attracted enough attention in mainstream studies. Therefore, Peng et al. studied the effect of capacitance on TENGs’ performance and proposed FOMdevice [51]. The FOMdevice reflects the structure influence from the perspective of optimizing the performance by considering the optimized device capacitance. Specifically, in the periodic working process of TENGs, the characteristic frequency of the 1 / RC total (RC product) should better match the mechanical motion frequency ω to convert mechanical energy into electricity more effectively [51]. However, the capacitance of the device is variable with the motion of the tribo-pair for most of the TENGs. The change of the RC product is much small when 1 / C device is large, which leads to better matching and higher output power. Thus, they pointed out that the optimization by tuning capacitance should be considered as well rather than the resistance only [51]. With the optimized resistance and capacitance, the FOMdevice will be

(14) FOM device = P ∗ ¯ ⋅ σ 2 ω x max ε 0 = 0.064 ⋅ σ 2 v ¯ ε 0 ,

where v ¯ = ω x max / π is the average speed of the mechanical motion, noting that the mechanical motion here is a sinusoidal motion. The derivation process can be found in ref. [51]. The average dimensionless power P ∗ ¯ reaches its maximum value with particular dimensionless resistance R ∗ and capacitance C ∗ , which are determined by some structure parameters such as contact area S and the maximum displacement x max . Thus, the FOMdevice reflects the influence of the device structure and provides a useful tool for structural parameter optimization of TENG devices.

3.3 The performance FOM of TENGs

Different from FOMdevice, FOMP evaluates a TENG from the perspective of the maximum output energy by tuning structural parameters. The ultimate goal of the optimization is to improve the performance of TENGs in which the output power is a major index. The FOMP represents the greatest possible average output power and it is a quantitative standard, which is suitable for different modes and sizes of TENGs [50]. Hence, FOMP can serve as a universal standard to evaluate varieties of TENGs. FOMP is defined as follows:

(15) FOM P = 2 ε 0 E m A x max ,

where E m is the largest possible output energy per cycle, x max is the maximum displacement of the tribo-pair, and A is the contact area. Next, we introduce the derivation of FOMP.

A V–Q plot simulated for a TENG is shown in Figure 5a. The steady cycles formed under stable operation (Figure 5b) are called “cycles for energy output” (CEO). The area of CEO is the output energy per cycle. The difference between the maximum and the minimum transferred charges Q C reaches its peak value Q SC , max under short-circuit conditions. However, the area of CEO is very small if the TENG is always under the SC conditions. To solve this problem, a four-step process is designed to achieve instantaneous SC conditions during operations with the use of a switch in parallel with the external load [50]. Keeping the switch off at steps 1 and 3, and switch on at steps 2 and 4, the maximized Q C and output energy could be achieved simultaneously. The resulting cycles shown in Figure 5c are named “cycles for maximized energy output” (CMEO).

Figure 5 (a) Voltage–charge (V–Q) plot for CEO, (b) working process of TENGs, and (c) V–Q plot for CMEO [50].
Figure 5

(a) Voltage–charge (V–Q) plot for CEO, (b) working process of TENGs, and (c) V–Q plot for CMEO [50].

The area of CMEO becomes larger with the increase of resistance. Therefore, the maximized output energy per cycle could be obtained under the open circuit conditions as follows:

(16) E m = 1 2 Q SC , max ( V OC, max + V max ′ ) ,

where Q SC,max is the short-circuit transferred charge, V OC,max is the maximum open-circuit voltage, and V max ′ is the maximum achievable absolute voltage.

Ignoring the discharging process in the whole TENG operating process, the average power output P is given by

(17) P ¯ = E m T ≈ v ¯ 2 E m x max ,

where v ¯ is the average velocity of the relative motion in the tribo-pair.

The area A should be taken into account to exclude the effect of the TENG size on the output energy. Thus, the FOMP can be defined depending on the parameters E m, x max , and A as equation (15).

In other related studies, some modifications were made in the original FOMP to make it more practical and realistic. First, the maximum output power of TENGs can only be achieved with an infinite load resistance but there may be an arbitrary resistance attached to TENGs in most practical situations. Therefore, Shao et al. defined a resistance related structural figure of merit (FOMRS), which can provide the optimum resistance and estimate the performance under different resistances [59]. Second, the FOMP is based on the maximized output energy per cycle E m , which is difficult to realize because of the breakdown effect. The breakdown effect is a key limit of the maximized effective energy output of TENGs. Thus, Xia et al. developed a process to measure the maximized effective energy output E em , which considers the breakdown effect [53]. And they revised the FOMP by substituting E m with E em .

3.4 Application of FOM

A series of quantitative standards to design and evaluate TENGs are established using the FOMs mentioned above. FOMs enable us to compare the performance of different modes of TENGs, and they offer guidance for TENG design and optimization. Optimization studies based on FOMs have made some progress and we believe that these studies will greatly promote the practical applications and industrialization of TENGs.

Utilizing FOMm, we emphasize the importance of surface charge density. FOMm drives advances in the measurement of charge density. With the measurement method and the standard, it is convenient to evaluate a TENG device from the material perspective quantitatively and choose the most suitable materials of tribo-pairs. The establishment of a quantitative triboelectric series is a very important basic work [58]. The research based on FOMm and the quantitative triboelectric series indicate that the tribo-pair should be in opposite polarities, and larger polarity differential between the materials leads to a higher output performance [50].

FOMdevice provides an evaluation tool for TENGs under the optimized capacitance, which has not gotten enough attention in the previous literature. Using FOMdevice, we can design and evaluate a TENG device without its output characteristics [51]. Some conclusions were found from the related work on FOMdevice [51]: (1) the optimization considering both resistance and capacitance may lead to noticeable growth of output power; (2) parasitic capacitance will cause power reduction, and increasing the area of dielectric can minimize the effect of parasitic capacitance.

FOMP is a comprehensive evaluation index for the performance of TENGs. It can be used as a universal standard to quantitatively calculate the power output of TENGs. That is to say, we can calculate and compare the output power of different kinds of TENGs with FOMP [60]. It is convenient to figure out the maximum output power for a known TENG because the output characteristics are used to define FOMP. On the other hand, FOMP also reflects the influence of structural parameters on device performance and gives guidance on parameter setting such as load resistance, X max. Especially, some conclusions are given in the studies based on FOMP [50,59]: (1) the increase of X max can improve the output performance directly; (2) contact–separation action brings higher output than sliding action under the same X max; (3) the paired-electrode TENGs have higher energy conversion efficiency than single-electrode TENGs with the same size and materials.

4 Multi-parameter optimization for TENGs

The output performance of a TENG device is co-regulated by a group of factors including the material properties, device structure, dimensions of tribo-pairs, loading process, etc. Because these parameters function jointly, the adjustment of one of these parameters not only affects the output performance but also may affect the optimized value of the other parameters. However, the optimization methods mentioned above mainly take a single parameter as the optimization object, which restricts the optimization effect. It is of great significance to optimize and evaluate the output performance of TENGs via theoretical models based on multi-parameter analysis rather than single parameter analysis.

4.1 Dimensionless expressions for TENGs

Zhang et al. developed a series of normalized expressions for TENGs’ output voltage and output power in dimensionless forms for contact-mode and sliding-mode TENGs [54,55]. These expressions provide a group of scaling laws that can analyze the effects in different aspects and consider the effects of several parameters simultaneously. The output voltage and output power can be optimized by tuning different physical properties simultaneously based on these scaling laws rather than only focusing on one physical property.

For contact-mode TENGs, the voltage output under an external resistance could be derived by combining the V–Q–x relation and Ohm’s law and specifying the boundary condition (equation (7)). Further, Zhang proposed the dimensionless expressions for output voltage and output power based on equation (7) [54], which can be given by

(18) V ( τ ) ε 0 σ A = V A ¯ τ , A d 0 , R S ε 0 A T = − d 0 A + d 0 A + x ¯ ( τ ) × exp − A T R S ε 0 d 0 A τ + ∫ 0 τ x ¯ ( τ ) d τ + A T R S ε 0 d 0 A d 0 A + x ¯ ( τ ) × ∫ 0 τ exp A T R S ε 0 ( ζ − τ ) d 0 A + ∫ τ ζ x ¯ ( ζ ) d ζ d ζ

(19) P c T ε 0 σ 2 A S = p ¯ A A d 0 , R S ε 0 A T ,

where τ = t / T is the dimensionless time. A and T are, respectively, the oscillation amplitude and the period of the separation–contact cycle.

We can see that the dimensionless output voltage and output power depend on two combined parameters: A / d 0 and R S ε 0 / A T . A / d 0 represents the relative oscillation amplitude and R S ε 0 / A T represents the hybrid impact of contact area, electrical resistance, oscillation amplitude, and motion frequency. We can optimize the performance of TENGs by tuning these two combined parameters or only adjusting one parameter with the others fixed. However, the respective effects of oscillation amplitude A, contact area S, and loading period T are not clear from equations (18) and (19) because they are involved in both the combined dimensionless parameter and the normalized electric output. To solve this problem, we can apply some equivalent transformations to equations (18) and (19) and then we will get:

(20) P eff R ε 0 2 σ 2 A 2 = p ¯ AR A d 0 , R S ε 0 A T

(21) V ( τ ) ε 0 σ d 0 = V d ¯ A d 0 , R S ε 0 d 0 T = − 1 + 1 + A d 0 x ¯ ( τ ) × exp − d 0 T R S ε 0 τ + A d 0 ∫ 0 τ x ¯ ( τ ) d τ + d 0 T R S ε 0 1 + A d 0 x ¯ ( τ ) × ∫ 0 τ exp d 0 T R S ε 0 ( ζ − τ ) + A d 0 ∫ τ ζ x ¯ ( ζ ) d ζ d ζ

(22) P eff T ε 0 σ 2 d 0 S = p ¯ d A d 0 , R S ε 0 d 0 T or P eff T ε 0 2 σ 2 d 0 2 = p ¯ d R A d 0 , R S ε 0 d 0 T .

Equation (20) can be used to examine the effect of S on the output power, while equations (21) and (22) enable us to investigate the effects of oscillation amplitude and period.

Analogously, Zhang provided the dimensionless expressions of output voltage and power for sliding-mode TENGs, which are given by [55]

(23) V ¯ R τ , A l , ε 0 R S d 0 T = ε 0 V ( τ ) σ d 0 = 1 1 − A l x ¯ ( τ ) × exp − d 0 T ε 0 R S ∫ 0 τ 1 1 − A l x ¯ ( τ ′ ) τ ′ + d 0 T ε 0 R S 1 1 − A l x ¯ ( τ ) × ∫ 0 τ exp d 0 T ε 0 R S ∫ τ τ ′ 1 1 − A l x ¯ ( δ ) d δ d τ ′ − 1

(24) P ¯ A l , ε 0 R S d 0 T T = ε 0 2 R P eff σ 2 d 0 2 = ∫ 0 1 V ¯ 2 d τ .

There are also two compound parameters A / l and ε 0 R S / d 0 T affecting the dimensionless output characteristics of devices. A / l is related to the dimensionless capacitance C ¯ whose expression is C ¯ = C A / C 0 = 1 − A / l , with C 0 and C A being the capacitance when x = 0 and x = a , respectively. And ε 0 R S / d 0 T can be defined as the dimensionless time constant T ¯ , which reflects the time constant for the first-order circuits with C = C 0 to the period of the alternating current. With the definitions of C ¯ and T ¯ , equations (23) and (24) can be written in a form that provides a better understanding from a physical point of view. Similar to equations (20)–(22), the formulas can be rewritten in an equivalent form to figure out the influence of d 0 and R. These equations enable us to investigate the comprehensive impact of the load resistance R, planar area S, loading period T, and maximum sliding distance A on the output voltage and power. Specific information can be seen in ref. [55].

To verify the dimensionless expressions, the analytical results calculated utilizing these dimensionless equations are compared with the experimental data (Figure 6a for contact-mode TENGs and Figure 6b for sliding-mode TENGs). As shown in Figure 6, the theoretical predictions are highly consistent with experimental data, which proves the accuracy of these dimensionless expressions. There are two groups in the contact-mode case: in Group I, the oscillation frequency 1 / T varies from 1 to 6 Hz with the load resistance fixed at R = 100 M Ω , while in Group II, the load resistance R varies from 1 MΩ to 1,000 MΩ with the oscillation frequency fixed at 1 / T = 5 Hz . The experimental results of these two groups agree very well with the same theoretical prediction although with different device structures, mechanical loading, and circuit conditions. From the single-analysis point of view, T and R are different parameters that affect the output performance independently. While in the scaling laws, the individual variation of either T or R causes the change of the compound parameters and the compound parameters determine the output performance directly. That is to say, different combinations of T and R may lead to the same output performance.

Figure 6 (a) Validation of the scaling laws for dimensionless peak output voltage through comparisons with experimental measurements with different setups for contact-mode TENGs, and (b) comparison between theoretical results and experimental results for sliding-mode TENGs [54,55].
Figure 6

(a) Validation of the scaling laws for dimensionless peak output voltage through comparisons with experimental measurements with different setups for contact-mode TENGs, and (b) comparison between theoretical results and experimental results for sliding-mode TENGs [54,55].

4.2 Optimization based on scaling laws

In addition, to predict the output performance of a TENG, the scaling laws in dimensionless expressions can also provide optimization strategies and guidance. By observing the change of the device output with the adjustment of combined parameters and single parameters, it is proved that the scaling laws from dimensionless expressions can achieve the optimization for TENGs.

For contact-mode TENGs, the corresponding scaling laws can be calculated based on dimensionless expressions. We can achieve the best output performance of TENGs by tuning multiple physical parameters simultaneously [54]. For example, an optimized R S ε 0 / A T which leads to maximum dimensionless output power is observed for each given value of A / d 0 . In single parameter analysis means, there exists an optimized R for the maximum output power when the other parameters are fixed. The same optimization is suitable for other individual parameters including the oscillation amplitude and contact area.

Similarly, the scaling laws for sliding-mode TENGs are illustrated in Figure 7. These scaling laws also provide a lot of optimization strategies from both multi-parameter and single analysis points of view [55]. In multi-parameter analysis, it can be observed in Figure 7 that larger A / l leads to a higher output voltage and power. In Figure 7c and d, for each A / l , the value of ε 0 V peak / σ d 0 grows monotonically with the increase of ε 0 R S / d 0 T and approaches a constant value when ε 0 R S / d 0 T = 1 . In Figure 7k and l, there exists a peak value for ε 0 T P eff / σ 2 d 0 S and the corresponding ε 0 R S / d 0 T or T is just the optimal value. In single-parameter analysis, the optimization process is similar to that for contact-mode TENGs. For example, by tuning one parameter and keeping other parameters fixed, the best value of this parameter for the highest ε 0 R S / d 0 T and A / l can be obtained for optimizing the output power for TENGs.

Figure 7 Scaling laws of sliding-mode TENGs for dimensionless output voltage and power in cases I and II. (a–b) x ¯ \bar{x} –τ relationship in case I and case II. (c–d) Scaling laws for ε 0 V peak / σ d 0 {\varepsilon }_{0}{V}_{\text{peak}}/\sigma {d}_{0} in case I and case II. (e–f) Scaling laws for TV peak /σRS in case I and case II. (g–h) Scaling laws for ε 0 2 RP eff/σ 2 d 0 2 in case I and case II. (i–j) Scaling laws for T 2 P eff/σ 2 S 2 R in case I and case II. (k–l) Scaling laws for ε 0 T P eff / σ 2 d 0 S {\varepsilon }_{0}T{P}_{\text{eff}}/{\sigma }^{2}{d}_{0}S in case I and case II [55].
Figure 7

Scaling laws of sliding-mode TENGs for dimensionless output voltage and power in cases I and II. (a–b) x ¯ –τ relationship in case I and case II. (c–d) Scaling laws for ε 0 V peak / σ d 0 in case I and case II. (e–f) Scaling laws for TV peak /σRS in case I and case II. (g–h) Scaling laws for ε 0 2 RP eff/σ 2 d 0 2 in case I and case II. (i–j) Scaling laws for T 2 P eff/σ 2 S 2 R in case I and case II. (k–l) Scaling laws for ε 0 T P eff / σ 2 d 0 S in case I and case II [55].

The multi-parameter analysis for TENGs is based on dimensionless expressions of the electrical output, which reflects the scaling laws of TENGs’ output. The scaling laws reveal the inner law that multiple parameters are correlated. Compared to single parameter analysis, which can only adjust a single parameter at a time to optimize the performance, combined parameters can be tuned to reach better optimization with multi-parameter analysis.

5 Conclusions and perspectives

In this article, we have reviewed the theoretical simulation approaches for evaluating TENGs’ electric performance including the parallel-plate capacitor model, the DDEF model, the FOM and multi-parameter analysis for TENGs, which can be summarized as follows.

  1. The parallel-plate capacitor model is the most fundamental model for TENGs. It is suitable for TENGs with planar configurations and does not apply to non-planar TENGs. The simulation accuracy will also be limited by the edge effect if the basic assumptions of the model are not satisfied.

  2. The DDEF model is proposed for TENGs with arbitrary configurations. According to this model, the electric field generated by the charged surface changes is distance-dependent.

  3. For standardization of TENGs, a series of FOMs are proposed to reflect the influence of device parameters on the output from different aspects. The FOMm reflects the impact of different materials on the performance. The FOMdevice reflects the impact of structure on performance from the perspective of optimal capacitance, while the FOMP describes the maximum output power of TENGs and reflects the influence of some structural parameters.

  4. In single parameter analysis based on traditional methods, only one parameter can be considered at a time. Nevertheless, the output of TENGs is co-regulated by a group of parameters. The multi-parameter analysis could consider the impact of multiple parameters simultaneously to achieve better optimization because it reveals the inherent laws that multiple device parameters affect the output of TENGs.

The theoretical methods introduced in this review could be used to guide the experimental work on TENGs and boost the device optimization in commercial manufacturing. Here, we present some prospects for TENGs. First, how to reasonably consider the edge effect to make the models more widely applied is a problem to be solved. Second, the theoretical model for the tribo-pair with micro-/nano-textured surfaces also needs to be established so as to investigate the relationship of the output performance of the device with the kind of material. Also, TENGs have great application potential and development space in the field of sensing. Compared with energy harvesting, the application of TENGs in the field of sensing requires greater development of theories.

Acknowledgments

The authors acknowledge the funding support from the National Key R&D Program of China (No. 2018YFB1600200) and Zhejiang Provincial Natural Science Foundation of China for Distinguished Young Scholar under grant no. LR20E080003. The work was also partly supported by the Fundamental Research Funds for the National Natural Science Foundation of China under grant no. 51978609.

  1. Conflict of interest: The authors declare no conflict of interest regarding the publication of this paper.

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Received: 2020-06-18
Accepted: 2020-06-25
Published Online: 2020-07-22

© 2020 He Zhang et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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https://doi.org/10.1515/ntrev-2020-0049
Keywords for this article
triboelectric nanogenerator; parallel-plate capacitor model; distance-dependent electric field model; figure of merit; multi-parameter analysis
Creative Commons
BY 4.0

Articles in the same Issue

  1. Research Articles
  2. Generalized locally-exact homogenization theory for evaluation of electric conductivity and resistance of multiphase materials
  3. Enhancing ultra-early strength of sulphoaluminate cement-based materials by incorporating graphene oxide
  4. Characterization of mechanical properties of epoxy/nanohybrid composites by nanoindentation
  5. Graphene and CNT impact on heat transfer response of nanocomposite cylinders
  6. A facile and simple approach to synthesis and characterization of methacrylated graphene oxide nanostructured polyaniline nanocomposites
  7. Ultrasmall Fe3O4 nanoparticles induce S-phase arrest and inhibit cancer cells proliferation
  8. Effect of aging on properties and nanoscale precipitates of Cu-Ag-Cr alloy
  9. Effect of nano-strengthening on the properties and microstructure of recycled concrete
  10. Stabilizing effect of methylcellulose on the dispersion of multi-walled carbon nanotubes in cementitious composites
  11. Preparation and electromagnetic properties characterization of reduced graphene oxide/strontium hexaferrite nanocomposites
  12. Interfacial characteristics of a carbon nanotube-polyimide nanocomposite by molecular dynamics simulation
  13. Preparation and properties of 3D interconnected CNTs/Cu composites
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  17. Halloysite nanotubes in polymer science: purification, characterization, modification and applications
  18. Cellulose hydrogel skeleton by extrusion 3D printing of solution
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  21. Utilization of red mud for producing a high strength binder by composition optimization and nano strengthening
  22. One-pot synthesis of nano titanium dioxide in supercritical water
  23. Printability of photo-sensitive nanocomposites using two-photon polymerization
  24. In situ synthesis of expanded graphite embedded with amorphous carbon-coated aluminum particles as anode materials for lithium-ion batteries
  25. Effect of nano and micro conductive materials on conductive properties of carbon fiber reinforced concrete
  26. Tribological performance of nano-diamond composites-dispersed lubricants on commercial cylinder liner mating with CrN piston ring
  27. Supramolecular ionic polymer/carbon nanotube composite hydrogels with enhanced electromechanical performance
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  36. Effect of annealing heat treatment on microstructure and mechanical properties of nonequiatomic CoCrFeNiMo medium-entropy alloys prepared by hot isostatic pressing
  37. Corrosion behaviour of multilayer CrN coatings deposited by hybrid HIPIMS after oxidation treatment
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  46. Facile growth of aluminum oxide thin film by chemical liquid deposition and its application in devices
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  49. Binary carbon-based additives in LiFePO4 cathode with favorable lithium storage
  50. Conversion of sub-µm calcium carbonate (calcite) particles to hollow hydroxyapatite agglomerates in K2HPO4 solutions
  51. Exact solutions of bending deflection for single-walled BNNTs based on the classical Euler–Bernoulli beam theory
  52. Effects of substrate properties and sputtering methods on self-formation of Ag particles on the Ag–Mo(Zr) alloy films
  53. Enhancing carbonation and chloride resistance of autoclaved concrete by incorporating nano-CaCO3
  54. Effect of SiO2 aerogels loading on photocatalytic degradation of nitrobenzene using composites with tetrapod-like ZnO
  55. Radiation-modified wool for adsorption of redox metals and potentially for nanoparticles
  56. Hydration activity, crystal structural, and electronic properties studies of Ba-doped dicalcium silicate
  57. Microstructure and mechanical properties of brazing joint of silver-based composite filler metal
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  59. Cryogenic milling and formation of nanostructured machined surface of AISI 4340
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  61. Effect of cinnamon essential oil on morphological, flammability and thermal properties of nanocellulose fibre–reinforced starch biopolymer composites
  62. Study on influencing factors of photocatalytic performance of CdS/TiO2 nanocomposite concrete
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  67. Synthesis of functionalized carbon nanotubes for fluorescent biosensors
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  69. Incorporation of redox-active polyimide binder into LiFePO4 cathode for high-rate electrochemical energy storage
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  77. Mechanical reinforcement with enhanced electrical and heat conduction of epoxy resin by polyaniline and graphene nanoplatelets
  78. High-efficiency method for recycling lithium from spent LiFePO4 cathode
  79. Degradable tough chitosan dressing for skin wound recovery
  80. Static and dynamic analyses of auxetic hybrid FRC/CNTRC laminated plates
  81. Review articles
  82. Carbon nanomaterials enhanced cement-based composites: advances and challenges
  83. Review on the research progress of cement-based and geopolymer materials modified by graphene and graphene oxide
  84. Review on modeling and application of chemical mechanical polishing
  85. Research on the interface properties and strengthening–toughening mechanism of nanocarbon-toughened ceramic matrix composites
  86. Advances in modelling and analysis of nano structures: a review
  87. Mechanical properties of nanomaterials: A review
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  91. Advances in biomaterials for adipose tissue reconstruction in plastic surgery
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  94. Nanotechnology of diamondoids for the fabrication of nanostructured systems
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  96. Nanoengineering in biomedicine: Current development and future perspectives
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  100. Functionalized layered double hydroxide applied to heavy metal ions absorption: A review
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  102. Finite element analysis of natural fibers composites: A review
  103. Phase change materials for building construction: An overview of nano-/micro-encapsulation
  104. Recent advance in surface modification for regulating cell adhesion and behaviors
  105. Hyaluronic acid as a bioactive component for bone tissue regeneration: Fabrication, modification, properties, and biological functions
  106. Theoretical calculation of a TiO2-based photocatalyst in the field of water splitting: A review
  107. Two-photon polymerization nanolithography technology for fabrication of stimulus-responsive micro/nano-structures for biomedical applications
  108. A review of passive methods in microchannel heat sink application through advanced geometric structure and nanofluids: Current advancements and challenges
  109. Stress effect on 3D culturing of MC3T3-E1 cells on microporous bovine bone slices
  110. Progress in magnetic Fe3O4 nanomaterials in magnetic resonance imaging
  111. Synthesis of graphene: Potential carbon precursors and approaches
  112. A comprehensive review of the influences of nanoparticles as a fuel additive in an internal combustion engine (ICE)
  113. Advances in layered double hydroxide-based ternary nanocomposites for photocatalysis of contaminants in water
  114. Analysis of functionally graded carbon nanotube-reinforced composite structures: A review
  115. Application of nanomaterials in ultra-high performance concrete: A review
  116. Therapeutic strategies and potential implications of silver nanoparticles in the management of skin cancer
  117. Advanced nickel nanoparticles technology: From synthesis to applications
  118. Cobalt magnetic nanoparticles as theranostics: Conceivable or forgettable?
  119. Progress in construction of bio-inspired physico-antimicrobial surfaces
  120. From materials to devices using fused deposition modeling: A state-of-art review
  121. A review for modified Li composite anode: Principle, preparation and challenge
  122. Naturally or artificially constructed nanocellulose architectures for epoxy composites: A review
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