Bandgap Engineering of Bilayer Graphene for Field-Effect Transistor Channels

2009 ◽  
Vol 48 (9) ◽  
pp. 091605 ◽  
Author(s):  
Eiichi Sano ◽  
Taiichi Otsuji
Author(s):  
Nayana G. H. ◽  
Vimala P.

Monolayer and bilayer graphene field effect transistor modeling is presented in this paper. The transport model incorporated, works well for both drift diffusive and ballistic conditions. The validity of the model was checked for various device dimensions and bias voltages. Performance parameters affecting operation of graphene field effect transistor in various region of operation are optimized. Model was developed to verify transfer characteristics for monolayer and bilayer graphene field effect transistor. Results obtained prove the ambipolar property in Graphene. MATLAB is used for numerical modeling for systematic performance evaluation of parameters in graphene. The tool used to simulate the characteristics is cadence Verilog-A which describe analog component structure.


2021 ◽  
Vol 21 (8) ◽  
pp. 4235-4242
Author(s):  
Sang Ho Lee ◽  
Min Su Cho ◽  
Hye Jin Mun ◽  
Jin Park ◽  
Hee Dae An ◽  
...  

In this paper, a 1T-DRAM based on the junctionless field-effect transistor (JLFET) with a silicon-germanium (SiGe) and silicon (Si) nanotube structure was designed and investigated by using technology computer-aided design (TCAD) simulations. Utilizing bandgap engineering to make a quantum well in the core–shell structure, the storage pocket is formed by the difference in bandgap energy between SiGe and Si. By applying different voltage conditions at the inner gate and outer gate, excess holes are generated in the storage region by the band-to-band tunneling (BTBT) mechanism. The BTBT mechanism results in the floating body effect, which is the principle of 1T-DRAM. The varying amount of the accumulated holes in the SiGe region allows differentiating between state “1” and state “0.” Additionally, the outer gate plays a role of the conventional gate, while the inner gate retains holes in the hold state by applying voltage. Consequently, the optimized SiGe/Si JLFET-based nanotube 1T-DRAM achieved a high sensing margin of 15.4 μA/μm, and a high retention time of 105 ms at a high temperature of 358 K. In addition, it has been verified that a single cycle of 1T-DRAM operations consumes only 33.6 fJ of energy, which is smaller than for previously proposed 1T-DRAMs.


2016 ◽  
Vol 100 ◽  
pp. 1221-1229 ◽  
Author(s):  
Mojtaba Saeidi Mobarakeh ◽  
Negin Moezi ◽  
Mehran Vali ◽  
Daryoosh Dideban

2014 ◽  
Vol 25 (34) ◽  
pp. 345203 ◽  
Author(s):  
Amirhasan Nourbakhsh ◽  
Tarun K Agarwal ◽  
Alexander Klekachev ◽  
Inge Asselberghs ◽  
Mirco Cantoro ◽  
...  

2019 ◽  
Vol 28 (14) ◽  
pp. 1950241
Author(s):  
Sudipta Bardhan ◽  
Manodipan Sahoo ◽  
Hafizur Rahaman

In this work, a surface potential modeling approach has been proposed to model dual gate, bilayer graphene field effect transistor. The equivalent capacitive network of GFET has been improved considering the quantum capacitance effect for each layer and interlayer capacitances. Surface potentials of both layers are determined analytically from equivalent capacitive network. The explicit expression of drain to source current is established from drift-diffusion transport mechanism using the surface potentials of the layers. The drain current characteristics and transfer characteristics of the developed model shows good agreement with the experimental results in literatures. The small signal parameters of intrinsic graphene transistor i.e., output conductance ([Formula: see text]), transconductance ([Formula: see text]), gate to drain capacitance ([Formula: see text]) and gate to source capacitance ([Formula: see text]) have been derived and finally, the cut-off frequency is determined for the developed model. The model is compared with reported experimental data using Normalized Root Mean Square Error (NRMSE) metric and it shows less than [Formula: see text] NRMSE. A Verilog-A code has been developed for this model and a single ended frequency doubler has been designed in Cadence Design environment using this Verilog-A model.


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