Investigating the Semi-Analytical Models of Momentum Relaxation Mean Free Time and Path and Ionization Coefficient of Trilayer Graphene Nanoribbon- Based FETs
Source abstract
Abstract
Trilayer graphene nanoribbon as a superlative semiconductor promises potential applications in the diodes, FETs, gas and biosensors. It is a suitable candidate for nanoelectronic applications due to attractive electronic, mechanical, thermoelectric and optoelectronics properties. The aim of the present paper is to analytically investigate the momentum relaxation mean free time and path and also ionization coefficient of trilayer graphene nanoribbon in nanoscale FETs. The models are derived based on energy band structure and calculating the effective mass, carrier velocity and scattering rate. Furthermore, the effects of interlayer potential energies, temperature and potential difference of layers are also taken into account on the modeled parameters. As a result, the obtained results and findings of this research are in rational agreement with published data, in terms of value and trend. The results and figures of merit for the proposed device showed a promising performance for transistor applications.
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Research context
OpenAlex topics: Graphene research and applications · Advancements in Semiconductor Devices and Circuit Design · Carbon Nanotubes in Composites
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (25)
Show source-provided references
1. Selective probing and imaging of cells with single walled carbon nanotubes as near-infrared fluorescent molecules10.1021/nl072949q ↗
2. Optical characterization of alignment and effective refractive index in carbon nanotube films10.1088/0957-4484/18/26/265706 ↗
3. Quantum conductance investigation on carbon nanotube based antibiotic sensor10.1007/s10008-019-04261-1 ↗
4. Label-free detection of DNA hybridization using carbon nanotube network field-effect transistors10.1073/pnas.0504146103 ↗
5. Analytical modeling of glucose biosensors based on carbon nanotubes10.1186/1556-276X-9-33 ↗
6. Chemical detection with a single-walled carbon nanotube capacitor10.1126/science.1109128 ↗
7. Label-free electrical detection of DNA hybridization using carbon nanotubes and graphene10.3402/nano.v1i0.5354 ↗
8. Fabrication of carbon nanoparticle strand under pulsed Arc discharge10.1007/s11468-018-0764-9 ↗
9. Graphene-based quantum electronics10.1016/j.pquantelec.2009.08.001 ↗
10. Conductance modulation of charged lipid bilayer using electrolyte-gated graphene FET10.1186/1556-276X-9-371 ↗
11. Ionization coefficient of monolayer graphene nanoribbon10.1016/j.microrel.2012.02.017 ↗
12. Analytical modeling of monolayer graphene-based ion-sensitive FET to pH changes10.1186/1556-276X-8-173 ↗
13. Effect of solution pH and adsorbent concentration on the sensing parameters of TGN-based electrochemical biosensor10.1049/iet-nbt.2018.5288 ↗
14. Current-voltage modeling of graphene-based DNA sensor10.1007/s00521-013-1464-1 ↗
15. The electronic properties of graphene10.1103/RevModPhys.81.109 ↗
16. The effect of concentration on gas sensor model based on graphene nanoribbon10.1007/s00521-013-1463-2 ↗
17. The effects of a stone–wales defect on the performance of a graphene-nanoribbon-based Schottky diode10.1007/s10825-019-01361-z ↗
18. Graphene based biosensor model for Escherichia Coli bacteria detection10.1166/jnn.2017.12537 ↗
19. Analytical modeling of trilayer graphene nanoribbon schottky-barrier FET for high speed switching applications10.1186/1556-276X-8-55 ↗
20. Ismail · 2012
21. Ahmadi · 201610.4018/978-1-5225-0736-9 ↗
22. Ionization coefficient of monolayer graphene nanoribbon10.1016/j.microrel.2012.02.017 ↗
23. Carrier scattering and impact ionization in bilayer graphene10.1007/s10825-013-0497-0 ↗
24. Neamen · 2003
25. Datta · 2005