Performance Analysis of GaN-NW FET under Wide-Range Bias Conditions for Suppressing SCEs: PADRE Simulation Approach
Keywords:
GaN nanowire FET; MuGFET; PADRE; TCAD simulation; short-channel effects; DIBL; and SS.Abstract
The continuous scaling of conventional Si-based transistors is increasingly limited by pronounced short channel effects (SCEs), leakage currents, and degraded electrostatic control. In this paper, we present a TCAD simulation of a Gallium Nitride (GaN) Nanowire Field-Effect Transistor (NW-FET) using the MuGFET structure definition tool and the PADRE device simulator, which solves the coupled Poisson and drift-diffusion equations. This proposed device was analyzed under 10 different drain-bias conditions (1–10 V) to investigate the impact of drain-voltage variation with respect to key performance parameters. The evaluated metrics were extracted from linear and logarithmic I–V plots, including a stable , SS value of 84-85 mV/dec, drain barrier of 6-19 mV/V, and consistent ION/IOFF of . These findings provide valuable insights into the design and optimization of next-generation energy-efficient transistors in advanced integrated circuits, particularly for low-power applications.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Abdussalam Balarabe Suleiman, Ibrahim Murtala Musa, Mubarak Salisu, Sabiu Said Abdullahi, Aminu Aliyu Safana, Abba Alhaji Bala, Ibrahim Saadu, Huzaifa Isah (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal the right of first publication. Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), permitting unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite
Similar Articles
- Aniedi Effiong, B‑A‑G‑S: A Research Architecture for Counterfeit Prevention in Consumer Device Supply Chains , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Babatunde Ogunyemi, COMPUTATIONAL DESIGN OF PYRIDYL-BENZALDEHYDE DERIVATIVES AS ECO-FRIENDLY CORROSION INHIBITORS: A DFT-BASED STUDY , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Precious Mkpouto Akpan, Adewunmi O. Wale-Akinrinde, Toluwalase Damilola Osanyingbemi, Chinelo E. Okonkwo, Oluwapelumi Adebukola Fadairo, Adaptive Product Growth Models Powered by Predictive Analytics and Organization Risk Signals , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Adewunmi O. Wale-Akinrinde, Toluwalase Damilola Osanyingbemi, Oluwapelumi Adebukola Fadairo, Precious Mkpouto Akpan, Real- Time Bi-enhanced Product Performance Intelligence for Driving Sustainable Business Expansion , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Maryjane Nzubechukwu Atuh, Okoche Kelvin Amadi, Innocent Ajah Okoto, Modified and unmodified Banana Peel biochars for simultaneous and efficient adsorption of Procaine penicillin from wastewater. Isotherm studies , Applied Science, Computing, and Energy: Vol. 4 No. 1 (2026): Volume 4 Issue 1
- Henrietta Ijeoma Kelle, Festus J. Ehijene, Emeka Chima Ogoko, Adebisi A. Fagbohun, Bethel O. Ekute, Chinyere V. Ogbodo, Levels, Sources and Health Risk Assessment of Heavy Metals in Hair Dye Sold in Nigeria , Applied Science, Computing, and Energy: Vol. 4 No. 6 (2926): Volume 4, Issue 6
- Franklin Akwasi Adjei, A Concise Review on Identifying Obesity Early: Leveraging AI and ML Targeted Advantage , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
- Enefiok Archibong Etuk, Chibuisi Iroegbu, Charles Efe Osedeke, Clement B Ndeekor, Application of Neural Network in Handover Predictions and Resource Allocation in Long Term Evolution , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
- Okorie Nwabueze Ezekiel, Integrated Public Health Approaches to Biomonitoring and Control of Emerging Parasitic Infections in Tropical Regions , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Ikechukwu Otete, Thermal Conductivity Behavior of Zig-Zag Single-Walled(7,0) Carbon Nanotube Using the Nikiforov-Uvarov Method , Applied Science, Computing, and Energy: Vol. 4 No. 2 (2026): Volume 4 Issue 2
You may also start an advanced similarity search for this article.