Abstract
Beyond the 25 nm technological node, MOSFETs (metal oxide semiconductor FETs) have worse channel electrostatic control than FinFETs (Fin field-effect transistors). It is necessary to use novel gate and channel engineering architecture in MOSFET devices at low technology nodes to decrease short-channel effects (SCEs). Future nano devices will replace present MOSFET with graded channel double gate MOSFETs and FinFETs for increased ION current and reduced leakage currents. Double gate MOSFETs have been identified by researchers in the last few years to considerably reduce short channel effects (SCE). Graded channel double gate MOSFETs provide superior switching characteristics and higher transconductance than single gate MOSFETs in ULSI/VLSI applications with many nodes. Transistors with hot carrier effects and subthreshold properties degrade at lower technological nodes than 25 nm. To increase on-state drive current and off-state leakage current separately in the gate-to-channel direction, super-halo and retrograde channel doping are used. As a result, semiconductor businesses must place a premium on precise doping levels, which drives up fabrication costs enormously. A revolutionary doping-free Silicon nanotube FET (DF-Si-NT-FET) with sub-nm technology nodes is presented in this paper. They are extremely resistant to SCE due to the strong charge control offered by both the inner and outside channels. Also, machine learning (ML) algorithm used with high-density meshing during simulation. TCAD was used to create all the simulations for this work.
Similar content being viewed by others
Data Availability
No supplementary materials.
References
Huang BJ, Fang EJW, Hsueh SSY, Huang R, Lin A, Chiang CH, Lin YH, Hsieh WW, Chen B, Zhuang YC, Wu CY (2021) 35.1 An octa-core 2.8/2GHz dual-gear sensor-assisted high-speed and power-efficient CPU in 7nm FinFET 5G Smartphone SoC. In: 2021 IEEE International Solid-State Circuits Conference (ISSCC), vol 64. IEEE, pp 490–492
Singh A, Subbarao G, Shifaw AF, Tekilu D (2021) Parametric study of silicon-based tubular Tunnel FET for biosensing application. 2021 Devices for Integrated Circuit (DevIC), pp 597–600. https://doi.org/10.1109/DevIC50843.2021.9455901
Japa A, Majumder MK, Sahoo SK, Vaddi R, Kaushik BK (2021) Hardware security exploiting post-CMOS devices: fundamental device characteristics, state-of-the-art countermeasures, challenges and roadmap. In: IEEE Circuits and Systems Magazine, vol 21, no 3, pp 4–30 (thirdquarter). https://doi.org/10.1109/MCAS.2021.3092532
Vidhyadharan S, Dan SS (2021) An efficient ultra-low-power and superior performance design of ternary half adder using CNFET and gate-overlap TFET devices. IEEE Trans Nanotechnol 20:365–376. https://doi.org/10.1109/TNANO.2020.3049087
Gedam A, Acharya B, Mishra GP (2021) Design and performance assessment of dielectrically modulated nanotube TFET biosensor. IEEE Sens J 21(1):16761–16769. https://doi.org/10.1109/JSEN.2021.3080922
Singh A, Srivastava VM (2021) Study of SiGe-Si source stacked in silicon nano-tube Tunnel FET. 2021 Devices for Integrated Circuit (DevIC), pp 601–604. https://doi.org/10.1109/DevIC50843.2021.9455789
Hung J-H, Wang P-Y, Lo Y-C, Yang C-W, Tsui B-Y, Yang C-H (2020) Digital logic and asynchronous datapath with heterogeneous TFET-MOSFET structure for ultralow-energy electronics,. In: IEEE J Explor Solid-State Comput Devices Circuits 6(2):130–137. https://doi.org/10.1109/JXCDC.2020.3032903
Shreya S, Khan AH, Kumar N, Amin SI, Anand S (2020) Core-shell junctionless nanotube tunnel field effect transistor: design and sensitivity analysis for biosensing application. IEEE Sens J 20(2):672–679. https://doi.org/10.1109/JSEN.2019.2944885
Musalgaonkar G, Sahay S, Saxena RS, Kumar MJ (2019) A line tunneling field-effect transistor based on misaligned core–shell gate architecture in emerging nanotube FETs. IEEE Trans Electron Devices 66(6):2809–2816. https://doi.org/10.1109/TED.2019.2910156
Musalgaonkar G, Sahay S, Saxena RS, Kumar MJ (2019) Nanotube Tunneling FET with a core source for ultrasteep subthreshold swing: a simulation study. In: IEEE Trans Electron Devices 66(10):4425–4432. https://doi.org/10.1109/TED.2019.2933756
Pala M, Esseni D (2019) Full band quantum transport modelling with EP and NEGF methods; application to nanowire transistors. 2019 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), pp 1–4. https://doi.org/10.1109/SISPAD.2019.8870406
Sahay S, Kumar MJ (2017) Nanotube junctionless FET: Proposal, design, and investigation. IEEE Trans Electron Devices 64(4):1851–1856
Ambika R, Srinivasan R (2016) Performance analysis of n-type junctionless silicon nanotube field effect transistor. J Nanoelectron Optoelectron 11(3):290–296
Anand S, Amin SI, Sarin RK (2016) Analog performance investigation of dual electrode based doping-less tunnel FET. J Comput Electron 15(1):94–103
Anand S, Sarin RK (2016) Analog and RF performance of doping-less tunnel FETs with Si0.55Ge0.45 source. J Comput Electron 15(3):850–856
Anand S, Sarin RK (2016) An analysis on ambipolar reduction techniques for charge plasma based tunnel field effect transistors. J Nanoelectron Optoelectron 11(4):543–550
Cutaia D et al (2015) Vertical InAs-Si gate-all-around Tunnel FETs integrated on Si using selective epitaxy in nanotube templates. IEEE J Electron Devices Soc 3(3):176–183. https://doi.org/10.1109/JEDS.2015.2388793
Wang P-Y, Tsui B-Y (2013) Six Ge1 – x epitaxial tunnel layer structure for p-channel tunnel FET improvement. IEEE Trans Electron Devices 60(12):4098–4104. https://doi.org/10.1109/LED.2006.871855
Fahad HM, Hussain MM (2013) High-performance silicon nanotube tunneling FET for ultralow-power logic applications. IEEE Trans Electron Devices 60(3):1034–1039
Royer CL, Mayer F (2009) Exhaustive experimental study of tunnel field effect transistors (TFETs): From materials to architecture. 2009 10th International Conference on Ultimate Integration of Silicon, pp 53–56. https://doi.org/10.1109/ULIS.2009.4897537
Sreenivasulu VB, Narendar V (2022) Junctionless SOI FinFET with advanced spacer techniques for sub-3 nm technology nodes. AEU-Int J Electron C 145:154069. https://doi.org/10.1016/j.aeue.2021.154069
Sreenivasulu VB, Narendar VC (2022) Circuit analysis and optimization of GAA nanowire FET towards low power and high switching. Silicon. https://doi.org/10.1007/s12633-022-01777-6
Sreenivasulu VB, Narendar V (2021) p-Type trigate junctionless nanosheet MOSFET: Analog/RF, linearity, and circuit analysis. ECS J Solid State Sci Technol 10:123001. https://doi.org/10.1149/2162-8777/ac3bdf
Prakash MD, Nelam BG, Ahmadsaidulu S, Navaneetha A, Panigrahy AK (2021) Performance analysis of ion-sensitive field effect transistor with various oxide materials for biomedical applications. Silicon. https://doi.org/10.1007/s12633-021-01413-9
Prakash MD, Krsihna BV, Satyanarayana BVV, Vignesh NA, Panigrahy AK, Ahmadsaidulu S (2021) A study of an ultrasensitive label free silicon nanowire FET biosensor for cardiac troponin I detection. Silicon. https://doi.org/10.1007/s12633-021-01352-5
Meriga C, Ponnuri RT, Satyanarayana BVV, Gudivada AAK, Panigrahy AK, Prakash MD (2021) A novel teeth junction less gate All Around FET for improving electrical characteristics. Silicon. https://doi.org/10.1007/s12633-021-00983-y
Prakash MD, Nihal SL, Ahmadsaidulu S, Swain R, Panigrahy AK (2022) Design and modelling of highly sensitive glucose biosensor for lab-on-chip applications. Silicon. https://doi.org/10.1007/s12633-021-01543-0
Vamsi Krsihna B, Anith Chowdary G, Ravi S, Reddy KV, Kavitha KR, Panigrahy AK, Prakash MD (2022) Tunnel field effect transistor design and analysis for biosensing applications. Silicon. https://doi.org/10.1007/s12633-022-01815-3
Deepa R, Devi MP, Vignesh NA, Kanithan S (2022) Implementation and performance evaluation of ferroelectric negative capacitance FET. Silicon. https://doi.org/10.1007/s12633-022-01722-7
Acknowledgements
The authors are thankful to Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad for their cooperation and support during this research work.
Author information
Authors and Affiliations
Contributions
Ravi Kumar, B Aruna Devi, and N. A Vignesh: Conceptualization; I. Hariharan, E. Konguvel, and N. A Vignesh: investigation; A.Kishore Reddy, I. Hariharan, and N. A Vignesh : resources; Ravi Kumar, B Aruna Devi, V. Sireesha, A.Kishore Reddy, and N. A Vignesh: data curation; Ravi Kumar, I. Hariharan, E. Konguvel, and N. A Vignesh: writing—original draft preparation; V. Sireesha, A.Kishore Reddy, I. Hariharan, and N. A Vignesh: writing—review and editing; Ravi Kumar, B Aruna Devi, V. Sireesha, A.Kishore Reddy, I. Hariharan, E. Konguvel, and N. A Vignesh: visualization; N. A Vignesh: supervision.
Corresponding author
Ethics declarations
Consent to Participate
Yes.
Conflict of Interest
The authors declare that they have no conflict of interest.
Research Involving Human Participants and/or Animals
This article does not contain any studies with human or animal subjects.
Consent for Publication
Author(s): N Arun Vignesh.
Author’s signature:
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Kumar, R., Devi, B.A., Sireesha, V. et al. Analysis and Design of Novel Doping Free Silicon Nanotube TFET with High-density Meshing Using ML for Sub Nanometre Technology Nodes. Silicon 14, 11235–11242 (2022). https://doi.org/10.1007/s12633-022-01859-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12633-022-01859-5