# Theoretical Simulation on the Assembly of Carbon Nanotubes Between Electrodes by AC Dielectrophoresis

- Yang Lu
^{1}, - Changxin Chen
^{1}Email author, - Liu Yang
^{2}and - Yafei Zhang
^{1}

**Received: **14 October 2008

**Accepted: **11 November 2008

**Published: **25 November 2008

## Abstract

The assembly of single-walled carbon nanotubes (SWCNTs) using the AC dielectrophoresis technique is studied theoretically. It is found that the comb electrode bears better position control of SWCNTs compared to the parallel electrode. In the assembly, when some SWCNTs bridge the electrode first, they can greatly alter the local electrical field so as to “screen off” later coming SWCNTs, which contributes to the formation of dispersed SWCNT array. The screening distance scales with the gap width of electrodes and the length of SWCNTs, which provides a way to estimate the assembled density of SWCNTs. The influence of thermal noise on SWCNTs alignment is also analyzed in the simulation. It is shown that the status of the array distribution for SWCNTs is decided by the competition between the thermal noise and the AC electric-field strength. This influence of the thermal noise can be suppressed by using higher AC voltage to assemble the SWCNTs.

## Keywords

## Introduction

Since its discovery in 1991, carbon nanotubes (CNTs) have attracted great research interests due to its unique one-dimensional structure and outstanding properties [1]. A large amount of research has been conducted to explore both the fundamental properties [2–4] and application potentials for CNTs. In terms of applications, high-performance CNT-based field-effect transistors [5], solar cells [6], hazard gas detector [7], and DNA sensors [8] have been widely reported. It is also found that CNTs have excellent field emission properties [9, 10]. With significant advantages over their traditional counterpart, CNTs are generally believed to be an ideal building block for the next generation electronics, optoelectronics, and high-performance sensors. However, the selectable and controllable placement and patterning of this nano-scale material has remained a challenge for their practical application. Common techniques to form aligned nanostructures include microwave plasma CVD [11], phase transformation [12], thermal oxidation [13], and electroless deposition [14]. Recently, researchers have shown that dielectrophoresis (DEP) is an efficient technique to manipulate carbon nanotubes [15, 16]. With no functionalization, DEP has the potential of separating metallic-single-walled carbon nanotubes (SWCNTs) and semiconducting-SWCNTs [16], aligning carbon nanotubes between microelectrodes [17], and realizing large-scale manipulation [18]. Both experimental and theoretical work are conducted, most studies focus on the frequency-dependent DEP behavior of CNTs [19], and the translation and rotation of CNTs under electrical field [20]. However, the mechanisms for controllable patterning of CNTs between electrodes are not fully understood.

Here, the assembly of SWCNTs between electrodes is analyzed with the electrophoresis model. The influences of various factors including the electrode type, DEP voltage and thermal noise on the DEP assembly are taken into consideration. Besides, the influence of already deposited SWCNTs on the alignment of succeeding ones is also studied.

## Theory

*a*= 500 nm,

*b*=

*c*= 10 nm. Its movement in suspending medium is governed by Langevin equation [21]:

*m*is the mass of bundle,

*F*the external force, and

*f*the friction factor related to IPA’s viscosity

*η*( ) by [20]

In our modeling, *F* consists of two components: one is the deterministic DEP force due to electrical field generated by the electrodes; while the other is the random force induced by thermal noise in the surrounding medium. The latter leads to the well-known Brownian motion of microparticles.

### DEP Movement

*a*, then Eq. 3 gives:

*ε** in the form of , we can derive that

### Brownian Motion

*t*, the Brownian displacement in each of the three coordinate axes can be expressed as [21]:

where *K*_{B} is the Boltzmann constant, *T* the room temperature, *f* the friction factor of SWCNT-bundle, and *G*_{
i
} a Gaussian distributed random number.

### The Solution of Langevin Equation

## Simulation

^{3}and 5 × 6× 10 μm

^{3}, respectively, the distance between neighboring grid point is 0.05 μm, which is precise enough for our simulation. Using Eq. 7, we can get the DEP force at every grid point.

The movement of SWCNT-bundles is divided into a series of steps. For every time step, the terminal velocity is evaluated by Eq. 9. To avoid numerical errors, the time step is adjusted to make the space step constant, which means near regions with high field strength, the time step is effectively reduced. In our simulation, this time step is well above the characteristic time ∝, so the use of Eq. 9is justified. To account for Brownian motion, we superpose the Brownian displacement given by Eq. 7at every step.

To get the final SWCNT-bundles’ space distribution on the electrode, we initiate 1,000 randomly distributed SWCNT-bundles in the solution, and trace the movement of every bundle until it reaches the substrate. Considering the relatively low CNTs’ density in medium solution (in the order of μg/l in device applications), we neglect the interaction between SWCNT-bundles when they are suspended in the medium. However, once a bundle first attach to the electrode, it may severely alter the local electrical field structure. Thus, change the DEP movement of latter bundles. We numerically demonstrate this effect by solving the Poisson’s equation with one SWCNT-bundle bridge the electrode (Fig. 2c, d) and then use this field solution to simulate the subsequent SWCNT-bundles’ DEP process.

## Result and Discussion

*E*

^{2}for parallel and comb electrode is shown in Fig. 3. According to DEP theory for SWCNT-bundles, is proportional to the gradient of

*E*

^{2}, so SWCNT-bundles will move toward the region with the highest field strength (the red zone in Fig. 3). Right above the surface of substrate (

*z*= 0.2 μm), the highest electrical field appears at the edge of the electrode. A little higher (

*z*= 0.5 μm), the highest field appears in the middle of the gap. Comparing Fig. 3a with b, we observe that comb electrode generates field map similar to its geometry structure. However, it is only for plane sufficient near the surface (

*z*= 0.2 μm, which is comparable to the distance between neighboring finger tips). For the plane at

*z*= 0.5 μm, comb electrode generate electrical field just like parallel electrode.

*y*-direction. Correspondingly, the SWCNT-bundles are supposed to assemble into array form with the same period. We simulate the distribution of 1,000 SWCNT-bundles after DEP for both parallel and comb electrode. As shown in Fig. 4, this distribution perfectly reflects the field structure generated by the electrode. For parallel structure, almost all the bundles locate in the gap between the two adjacent electrodes, and it is uniformly distributed. This indicates that parallel electrode is efficient to capture SWCNT-bundles. When the length of bundle is larger than the width of the gap (1 μm in Fig. 4a), there is a high ratio of SWCNT-bundles bridged the electrode, which is desired in electrical characterization and device fabrication. In fact, there are reports using parallel electrode DEP to construct CNT-based field-effect transistors, thin film transistors and solar cells. However, because of the random distribution of SWCNT-bundles, the parallel electrode is not a good choice to construct large number of devices based on single bundle of SWCNTs. Comb electrode, as shown in Fig. 4b, can assemble SWCNT-bundles into array structure. The SWCNT-bundles are collected in the region between countering fingertips because of its higher local field strength. In our simulation, the distance between neighboring fingers is 0.3

*μm*, and the distribution of SWCNT-bundles basically has the same period. Confirmed by previous experiments [21], our simulation indicates that comb electrode has the potential to realize large-scale assembly of SWCNT devices.

When suspended in the solution medium, the interaction between SWCNT-bundles can be neglected because of relatively low density (in the order of μg/l). On the other hand, when the interaction between two SWCNT-bundles are taken into account, we are actually dealing with the interaction between the two dipole moments and For one SWCNT-bundle, the interaction force is due to the field created by the dipole moment of another SWCNT-bundle. This interaction force can be expressed as where is the field created by dipole moment So generally, this interaction force is a secondary effect, and will not influence the DEP movement due to the fact that the DEP force produced by external field dominates. The case that the interaction between SWCNT-bundles will play a main role is when the external field is uniform, in which and there is no DEP movement. In our simulation, the use of microelectrodes will cause the generation of strong non-uniform electrical fields. So, the interaction between SWCNT-bundles will not change the results of our simulation.

*Y*= 0. Away from the bundle, the field structure remains the same as in Fig. 4. Several experiments confirmed this “screen” effect of bridged SWCNT-bundle to latter bundles in DEP process. For parallel electrode, SWCNT-bundles tend to form dispersively aligned parallel array, with an average distance between neighboring bundles. While for comb electrode, this effect ensures that for every fingertip electrode pair, there is only one bundle bridged. The results are consistent with our earlier experimental research [26, 27]. Using modified electrical field for CNT-bridged electrode, we simulate the corresponding distribution of latter SWCNT-bundles, as shown in Fig. 6. For parallel electrode, there is approximately a 0.4-μm (−0.2 μm to +0.2 μm) wide region where there’s almost no SWCNT-bundles landed. Outside this region, the bundles are uniformly distributed as in Fig. 4. For comb electrode, very few bundles land between the fingertip pair at

*Y*= 0 μm. The other fingertip pairs are not affected by the “screen effect”, probably because the distance between neighboring pairs (0.3 μm) exceed the “screening length”, which is 0.2 μm in Fig. 6a.

*V*) is 1 V, with the electrical field in the medium kept invariant as that for the 1-μm-scale case. The movement of SWCNT-bundle is randomized by the thermal noise even if it is very close to the electrode surface. When

*V*= 5 V, the DEP force is increased so as to overcome the Brownian motion near the electrode. The corresponding distribution of SWCNT-bundles for the comb electrode at 100 nm scale is simulated, as shown in Fig. 8. It indicates that when peak-to-peak voltage is 1 V, the thermal noise disarranges the array distribution while the peak-to-peak voltage of 5 V can overcome the influence of thermal noise and retain the array distribution.

## Conclusion

The assembly of SWCNTs on the electrodes using the DEP method has been studied theoretically. The influences of electrode type, electrode voltage, thermal noise, and as-bridged nanotubes on the results of DEP assembly are analyzed. The results suggest that: (1) although the parallel and comb electrode are both effective electrode structures to align the SWCNTs, the comb electrode has a better position control of SWCNTs than the parallel electrode; (2) once a SWNCT bundle bridges on the electrode, it will change the local electrical field and “screen off” the SWCNTs that approach later; for parallel electrode this effect results in the formation of dispersed SWCNT array, while for comb electrode it guarantees that one fingertip pair collects only one SWCNT bundle; (3) the density of DEP assembled array is limited by the “screening length”, which scales with the gap width of electrodes and the length of SWCNT bundle; and (4) the thermal noise has an important influence on the DEP assembly of SWCNTs, which is more significant for the smaller electrode structures and shorter SWCNTs; by increasing the AC voltage, this influence can be effectively eliminated.

## Misc

Changxin Chen and Yang Lu contributed equally to this work.

## Declarations

### Acknowledgment

This work is supported by National Natural Science Foundation of China No. 60807008, Shanghai International Science and Technology Cooperation Foundation No. 08520741500, Shanghai Science and Technology Grant No. 0752nm015, National Natural Science Foundation of China No. 50730008 and National Basic Research Program of China No. 2006CB300406.

## Authors’ Affiliations

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