Frontiers in Transistor and Memristor Based Devices
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "A：Physics".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 3528
Special Issue Editors
Interests: third/fourth-generation novel semiconductors; wide bandgap metal oxide; advanced synaptic electronic devices and their artificial intelligence applications (AI-integrated circuit); wearable electronics with integration of bio-sensors and TENG
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The current development of the internet of things (IoT), artificial intelligence (AI), and wearable systems provide a higher requirement for electronic devices with the outstanding ability to process massive amounts of data. Devices based on transistors and memristors have received extensive attention due to their fast processing speed, low energy consumption, and excellent compatibility for computer architecture. With the discovery and application of advanced materials such as nanoscale oxides with high carrier mobility, organic biomass with good degradability, photosensitive perovskites with high optical sensitivity efficiency, and low-dimensional nanomaterials with flexible bandgap modulation, the cutting-edge device performance of transistor- and memristor-based devices has been revealed (e.g., artificial synaptic performance and in-memory computing performance). One of the typical examples is static pattern recognition in handwritten Arabic numbers based on the photo-induced artificial synaptic long-term potentiation and depression response of transistors and memristors. These superiorities indicate that it is worth exploring bionic neural network systems based on these emerging transistor and memristor devices with advanced materials. Besides, the unique characteristics of various materials are dominating factors affecting the performance of film devices like transistors and memristors, which often have a great relationship with thin-film fabrication methods such as laser-focused atomic deposition, chemical vapor deposition, solution-processable spin-coating, and sputtering. Therefore, this Special Issue seeks to showcase research papers and review articles that focus on the emerging artificial intelligence applications of transistor- and memristor-based devices with emerging or advanced nanomaterials.
We look forward to receiving your submissions!
Prof. Dr. Chun Zhao
Dr. Zongjie Shen
Guest Editors
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Keywords
- internet of things
- artificial intelligence
- transistor
- memristor
- nanoscale oxides
- photosensitive perovskites
- organic biomass
- low-dimensional nanomaterials
- artificial synaptic performance
- in-memory computing
- pattern recognition
- long-term potentiation
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