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Updated: May 30, 2026

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Preparation of Silicon Nanowire Field-effect Transistor for Chemical and Biosensing Applications
Published on: April 21, 2016
Multiscale modeling of nanowire-based Schottky-barrier field-effect transistors for sensor applications
D Nozaki1, J Kunstmann, F Zörgiebel
1Institute for Materials Science and Max Bergmann Center of Biomaterials, Dresden University of Technology, 01069 Dresden, Germany. daijiro.nozaki@tu-dresden.de
Nanotechnology
|July 21, 2011
Summary
We developed a simple theoretical framework to calculate charge transport in nanowire Schottky-barrier field-effect transistors. This model accurately predicts device behavior and can aid in designing nanowire sensors.
Area of Science:
- Semiconductor Physics
- Materials Science
- Nanotechnology
Background:
- Schottky-barrier field-effect transistors (FETs) are crucial in nanoelectronics.
- Understanding charge transport in nanowire-based devices is essential for advanced applications.
- Accurate theoretical models are needed to guide the design of novel nanowire sensors.
Purpose of the Study:
- To present a novel theoretical framework for calculating charge transport in nanowire Schottky-barrier FETs.
- To provide a simulation platform for developing nanowire-based sensors.
- To capture essential physical mechanisms governing charge transport in these devices.
Main Methods:
- Combined finite element method (FEM) for electrostatics with Landauer-Büttiker and non-equilibrium Green's functions (NEGF) for transport.
- Solved Poisson's equation to model electrostatic potential across the Schottky barrier.
- Calculated charge transport through devices of arbitrary one-dimensional geometry.
Main Results:
- The theoretical model accurately reproduces typical current-voltage (I-V) characteristics of FETs.
- Simulated dependence of saturated drain current on gate field and geometry aligns well with experimental data.
- The framework is versatile for various one-dimensional Schottky-barrier FET geometries.
Conclusions:
- The presented theoretical framework offers a conceptually simple yet physically relevant approach to model charge transport.
- The model's agreement with experimental data validates its predictive power.
- This work provides a valuable simulation platform for advancing nanowire-based sensor technology.

