A computational study of a carbon nanotube junctionless tunneling field-effect transistor (CNT-JLTFET) based on the charge plasma concept
SH Tahaei, SS Ghoreishi, R Yousefi… - Superlattices and …, 2019 - Elsevier
In this work, a carbon nanotube junctionless tunnel field-effect transistor has been proposed
and investigated. The presented structure uses two isolated gates with the same work …
and investigated. The presented structure uses two isolated gates with the same work …
[HTML][HTML] A novel graphene nanoribbon FET with an extra peak electric field (EFP-GNRFET) for enhancing the electrical performances
MA Eshkalak, MK Anvarifard - Physics Letters A, 2017 - Elsevier
This work has provided an efficient technique to improve the electrical performance for the
Graphene Nanoribbon Field Effect Transistors (GNRFETs) successfully. The physical gate …
Graphene Nanoribbon Field Effect Transistors (GNRFETs) successfully. The physical gate …
Characteristics of GaAs/GaSb tunnel field-effect transistors without doping junctions: numerical studies
M Vadizadeh - Journal of Computational Electronics, 2018 - Springer
Tunneling field-effect transistor (TFET) suffers from ultra-sharp doping concentration
gradients in both the source/channel junction and drain/channel junction. Recently, the …
gradients in both the source/channel junction and drain/channel junction. Recently, the …
Dielectric-Modulated Junctionless Carbon Nanotube Field-Effect Transistor as a Label-Free DNA Nanosensor: Achieving Ultra-High Sensitivity in the Band-to-Band …
K Tamersit - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
This article introduces a novel label-free deoxyribonucleic acid (DNA) nanosensor based on
a coaxially gated junctionless carbon nanotube field-effect transistor (JL CNTFET). The …
a coaxially gated junctionless carbon nanotube field-effect transistor (JL CNTFET). The …
Improving the performance of a doping-less carbon nanotube FET with dual junction source and drain regions: numerical studies
M Ghodrati, A Mir - Journal of Circuits, Systems and Computers, 2022 - World Scientific
In this paper, a new structure using dual junctions in the source and drain regions is
proposed to improve the electronic characteristics of the doping less carbon nanotube FET …
proposed to improve the electronic characteristics of the doping less carbon nanotube FET …
A computational study of an optimized MOS-like graphene nano ribbon field effect transistor (GNRFET)
A Khorshidsavar, SS Ghoreishi… - ECS Journal of Solid …, 2018 - iopscience.iop.org
The present paper introduces a metal-oxide-semiconductor graphene nanoribbon field-
effect transistor (MOS-GNRFET), in which heterogeneous gates with different work functions …
effect transistor (MOS-GNRFET), in which heterogeneous gates with different work functions …
Performance evaluation and design considerations of electrically activated drain extension tunneling GNRFET: a quantum simulation study
SS Ghoreishi, R Yousefi, N Taghavi - Journal of Electronic Materials, 2017 - Springer
In this paper, a tunneling graphene nanoribbon field effect transistor with electrically
activated drain extension, namely, EA-T-GNRFET, is proposed. The proposed structure …
activated drain extension, namely, EA-T-GNRFET, is proposed. The proposed structure …
A computational study of a heterostructure tunneling carbon nanotube field-effect transistor
SH Tahaei, SS Ghoreishi, R Yousefi… - Journal of Electronic …, 2019 - Springer
In this paper a heterostructure tunneling carbon nanotube field-effect transistor, namely HT-
CNTFET, is introduced. In the proposed structure, a carbon nanotube with a different chirality …
CNTFET, is introduced. In the proposed structure, a carbon nanotube with a different chirality …
Theoretical analysis of tunneling GNRFET under local compressive uniaxial strain
S Abbaszadeh, SS Ghoreishi, R Yousefi… - ECS Journal of Solid …, 2020 - iopscience.iop.org
By applying% 3 compressive local uniaxial strain on 2.5 nm of source and 2.5 nm of channel
regions of tunneling graphene nanoribbon field-effect transistor (T-GNRFET), we propose a …
regions of tunneling graphene nanoribbon field-effect transistor (T-GNRFET), we propose a …
Integrating Atomistic Insights with Circuit Simulations via Transformer-Driven Symbolic Regression
This paper introduces a groundbreaking framework that establishes a cohesive link between
first principles-based simulations and circuit-level analyses using a machine learning-based …
first principles-based simulations and circuit-level analyses using a machine learning-based …