Research Article  Open Access
Michael Loong Peng Tan, "Long Channel Carbon Nanotube as an Alternative to Nanoscale Silicon Channels in Scaled MOSFETs", Journal of Nanomaterials, vol. 2013, Article ID 831252, 5 pages, 2013. https://doi.org/10.1155/2013/831252
Long Channel Carbon Nanotube as an Alternative to Nanoscale Silicon Channels in Scaled MOSFETs
Abstract
Long channel carbon nanotube transistor (CNT) can be used to overcome the high electric field effects in nanoscale length silicon channel. When maximum electric field is reduced, the gate of a fieldeffect transistor (FET) is able to gain control of the channel at varying drain bias. The device performance of a zigzag CNTFET with the same unit area as a nanoscale silicon metaloxide semiconductor fieldeffect transistor (MOSFET) channel is assessed qualitatively. The drain characteristic of CNTFET and MOSFET device models as well as fabricated CNTFET device are explored over a wide range of drain and gate biases. The results obtained show that long channel nanotubes can significantly reduce the draininduced barrier lowering (DIBL) effects in silicon MOSFET while sustaining the same unit area at higher current density.
1. Introduction
Carbon nanotubes (CNTs) are gaining momentum in the current silicon technology as a complementary nanostructure that could reform the device architecture. CNT modeling has been rigorously studied and examined [1–5] to assess the performance of the device at the circuit level. Advancement of the nanotechnology devices modeling is vital for the foreseeable future of carbon nanotube as switching device, interconnect and memory in integrated circuits (ICs). An in situ growth singlewalled carbon nanotube (SWCNT), which integrates long channel 600 nm CNT channel, thin Al_{2}O_{3} top gate contact, and Palladium (Pd) metal source/drain contacts, has been demonstrated [6].
In addition, we report the potential of long channel 65 nm CNT as substitute to 45 nm silicon metaloxide semiconductor fieldeffect transistor (Si MOSFET) from the perspective of modeling for future CNTlogic applications. We observe good agreement between CNTFET and Si MOSFET, respectively, when simulating twoterminal drain current–voltage () characteristic. The projection has shed light on the reduction of DIBL and high field effects [7] as well as reduction in long channel CNT which is a widespread phenomenon in nanoscale Si MOSFET [8, 9]. We also demonstrate the effects of the channel area restructuring on the maximum electric field as well as density of states (DOS) in the conductance of CNT. Unlike MOSFET, it is revealed that the performance of CNT is enhanced when the source and drain width is minimized rather than the length, primarily due to the gatetosourcedrain parasitic fringe capacitances [10]. MOSFET scaling in accordance with Moore’s Law will reach its fundamental limitation as a result of process controllability in the next 10 years. Consequently, it is necessary to ensure that novel material is studied to provide alternatives to the current technologies and challenges in the new era of nanotechnology.
2. Carbon Nanotube and MOSFET Modeling
The layout of a CNTFET device is depicted in Figure 1. The area of the channel is given by the multiplication of the width, , of the source and drain contact and the length, , of the nanotube [6]. Details of the quasiballistic MOSFET device modeling can be found in previous work in [11, 12].
The carbon nanotube model [13] is a unified nanostructure model based on quantum transport theory established by Datta [14]. This work extended the universal DOS spectral function [15] into the numerical calculation for CNT conduction subbands. We have included multiband density of states to account for multimode transport [16]. For an accurate simulation, the input parameters shown in Table 1 for MOSFET and CNTFET are extracted from TSMC [17] and Javey et al. [18], respectively. The 60 nm nanotube device model incorporate quasiballistic transport scattering as confirmed by [18]. At 60 nm length, the carriers travelling on the CNT surface have smaller mean free path than acoustic phonon which occurred at 300 nm.

The typical width of a hightech CNTFET device is reported [10] to be 1 μm. The width of the CNT is calculated to be , when both CNT and MOSFET devices are having identical channel area . In a case when both devices can provide same level of current, channel area becomes when given the scaling factor; and both parameter . CNT channel with length, , can provide the same current with . Even when the physical widths of the CNT channel, , there is no area drawback provided . As nanotube channel length increases, maximum electric field in CNT, reduces tremendously [19, 20]. As for CNT with nm, the maximum electric field is found to be .
In the simulation of CNTFET, LandauerButtiker formalism is utilized [21]. The drain current, is given as where is the ONconductance, is the channel potential, is the Fermi energy, is the Boltzmann Constant, is the temperature, is the charge of an electron, is the gate voltage, is the drain voltage, and is the source voltage.
The quantum conductance limit of a ballistic SWCNT is . The theoretical framework of (1) derivation can be found in [19, 20]. The quasionedimensional (Q1D) density of state function of CNT [22] is given by where and is the carbontocarbon (C–C) bonding energy, is the bandgap energy, is the spin degeneracy, and is the valley degeneracy. On the other hand, the characteristics for a short channel MOSFET can be expressed as where is the gate capacitance, is the gatefield dependent mobility, is the saturation voltage at the point of current saturation, is the critical voltage, and is the threshold voltage. At current saturation, (3) becomes where is ratio of drift velocity, with saturation velocity and at the drain [11, 23].
3. Results and Discussion
Figure 2 shows the density of states for Q1D of zigzag CNT with three van Hove singularities. As the energy span widens, more electrons are capable of occupying the singularities pinned between source and drain Fermi levels.
In the simulation, the source Fermi energy is set to be at 0.22 eV below the conduction band. Our simulation results in Figure 3 which comes from (1) indicate that the CNT is able to offer drain current performance comparable to a 45 nm Si MOSFET. Remarkably, the effective current per unit dimension yielded 53.5 times more of Si channel because of the small diameter tube.
The DIBL effects is suppressed fairly well for both devices with a slight advantage to CNT. Silicon demonstrated a superior subthreshold swing at 32.37 mV/dec, a value half of CNT. Although CNT has a lower on current, it sustains a high onoff ratio in 4 orders of magnitude. In addition to the device simulation, a SWCNT with a channel length of 600 nm is fabricated and shown in Figure 4. The Paladium contacts are made by electron beam lithography on SWCNT grown by thermal CVD from catalyst islands.
The measurement was carried out on a back gate geometry ≈200 nm SiO_{2} depicted in Figure 5. From Figure 3, the gate characteristic, , can be generated for the 60 nm CNT model and it is illustrated in Figure 6. The DIBL for the experimental data is at 1453 mV/V, while SS is estimated to be 664 mV/dec. Nevertheless, the 600 nm fabricated CNT is compensated by a high offon ratio at . It is found that DIBL can be lowered by at least one order of magnitude by doping the source end region of the channel [24] or the whole CNT [25, 26].
4. Conclusion
It is revealed that long channel CNT can deliver drain current comparable to a MOSFET. The carrier density along the CNTFET is at least 50 times that of the Si MOSFET. In the same channel area, CNT has better control of short channel effect (SCE) than Si as it has lower . This brings an enormous advantage since lower has a smaller DIBL. A double gate or a cylindrical gate structure has the best control to suppress DIBL [27]. Based on this, we could have lower offcurrent in the transistor. As a result, a CNT uses less power consumption as a switching device when operating at the same frequency as a MOSFET.
Acknowledgments
MLPT thanks the Ministry of Higher Education Malaysia and the Universiti Teknologi Malaysia (UTM) for the award of advanced study fellowship leading to a Ph.D. degree at the University of Cambridge. This work is partially supported by UTM Research University Grant vot no. Q.J130000.2623.09J21 and Fundamental Research Grant Scheme (FRGS/2/2013/SG02/UTM/02/2). MLPT is also immensely grateful to Aun Shih Teh for providing the experimental data of SWCNT. The author also thanks the Research Management Centre (RMC) of UTM and Centre for Advanced Photonics and Electronics (CAPE), Cambridge, UK, for providing an excellent research environment to complete this work.
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Copyright
Copyright © 2013 Michael Loong Peng Tan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.