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Multi-scale modeling of 2D GaSe FETs with strained channels
A Toral-Lopez1, H Santos2, E G Marin1
1Dpto. Electrónica y Tecnología de Computadores, Facultad de Ciencias, Universidad de Granada, Spain.
We developed a multi-scale simulation tool for bidimensional materials (2DMs) devices. This approach connects atomistic and mesoscopic levels, enabling accurate prediction of device performance, especially with strain engineering.
Area of Science:
- Computational Nanoelectronics
- Materials Science
- Condensed Matter Physics
Background:
- Intense experimental research on bidimensional materials (2DMs) devices requires robust theoretical tools.
- Existing multi-scale computational nanoelectronics lack integrated simulation tools bridging atomistic and mesoscopic levels.
- Accurate modeling is crucial for understanding and predicting the performance of state-of-the-art 2DM devices.
Purpose of the Study:
- To address the gap in multi-scale simulation tools for 2DM devices.
- To present a novel approach combining atomistic calculations with semi-classical drift-diffusion transport.
- To demonstrate the tool's capability in analyzing the impact of material properties on device performance.
Main Methods:
- Developed a multi-scale simulation approach.
- Integrated fine-level material calculations with a semi-classical drift-diffusion transport model.
- Applied the approach to analyze field-effect transistors with strained 2D channels.
Main Results:
- The multi-scale approach effectively captures crystal structure changes and their impact on device performance.
- Demonstrated that strain in monolayer Gallium Selenide (GaSe) enhances carrier conduction.
- Verified that strain can mimic chemical doping effects in 2D materials.
Conclusions:
- The proposed multi-scale approach bridges different levels of abstraction for 2DM device modeling.
- This tool holds significant potential for theoretical modeling of advanced 2DM-based electronic devices.
- Strain engineering in 2DMs offers a promising route for device performance enhancement and functional tuning.
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