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A Fabrication and Measurement Method for a Flexible Ferroelectric Element Based on Van Der Waals Heteroepitaxy
Published on: April 8, 2018
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Large-Area Polymorphic In2Se3 Ferroelectric Transistor Array for Stable Nonvolatile Storage and High-Precision
Yuhuan Li1, Xiaodong Zheng2, Wen Zhang1
1Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China.
Small (Weinheim an Der Bergstrasse, Germany)
|December 31, 2025
Summary
This study showcases Indium Selenide (In2Se3) thin films for advanced in-memory computing. These 2D ferroelectric field-effect transistors (FeFETs) offer high performance and potential for neuromorphic applications.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Electrical Engineering
Background:
- Emerging 2D materials are crucial for overcoming the von Neumann bottleneck in computing.
- Indium Selenide (In2Se3) exhibits unique properties, including room-temperature ferroelectricity and high carrier mobility.
- Chemical Vapor Deposition (CVD) enables the synthesis of large-area 2D materials for device fabrication.
Purpose of the Study:
- To investigate the performance of Indium Selenide (In2Se3) thin film ferroelectric field-effect transistor (FeFET) arrays.
- To evaluate the potential of these 2D FeFETs for in-memory and neuromorphic computing applications.
- To demonstrate the stability and non-volatile characteristics of the In2Se3 FeFET array.
Main Methods:
- Fabrication of In2Se3 thin film FeFET arrays using Chemical Vapor Deposition (CVD).
- Characterization of device performance, including field-effect mobility (µFE) and on-off ratio.
- Testing the stability and non-volatile memory characteristics of the FeFET array.
- Application of the In2Se3 FeFET array in machine learning tasks for neuromorphic computing.
Main Results:
- The In2Se3 FeFET array achieved a high field-effect mobility (µFE) of 151.7 cm² V⁻¹ s⁻¹.
- An impressive on-off ratio of up to 10⁶ was recorded.
- Stable, non-volatile characteristics were observed, with a resistance state window > 10² maintained for over 1800 seconds.
- Recognition accuracy exceeding 90% was consistently achieved in machine learning tasks.
Conclusions:
- In2Se3 thin film FeFET arrays are a promising solution for next-generation in-memory computing.
- The demonstrated high performance and stability highlight their potential for neuromorphic computing.
- CVD synthesis facilitates the development of large-area 2D FeFET arrays for practical applications.
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