Memristive Devices & Thin-Film Transistors: Design, Fabrication and Applications
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "D1: Semiconductor Devices".
Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 6405
Special Issue Editors
Interests: IoT-memristor; thin film transistor; oxide electronic; paper electronic
Special Issues, Collections and Topics in MDPI journals
Interests: solution-based (sol-gel and combustion) metal oxides thin films; high-κ dielectrics; thin film transistors; resistive switching devices; printed electronics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Currently, we are in the era of the fourth industrial revolution (Industry 4.0), in which fast changes in technologies related to novel processing paradigms are in high demand due to the exponential growth of data and smart devices within the concept of the Internet of Things (IoT). The problem with the current computation system is not in fact the processing, but rather the high-energy data traveling between the memory and central processing units. Through completely different approaches instead of continuing the use of Von Neumann systems, however, power consumption can be reduced several orders of magnitude below the current digital stored-program machines. Therefore, memory-centric computation and brain-inspired neuromorphic architectures are the most prominent, requiring further investigation. In this respect, neuromorphic computation based on memristors offers an emergent artificial neural network (ANN) able to perform in-memory computation with adaptive learning algorithms on hardware.
Memristors can simulate a variety of synaptic properties, such as potentiation, depression and spike-time-dependent plasticity (STDP), which are key features of artificial neural networks (ANNs) and spiking neural networks (SNNs).
In this respect, for the application of system-on-panel (SoP) and the Internet of Things (IoT) on flexible substrates, the adoption of new technologies requires further exploration, which is the focusing topic of this Special Issue, especially in which the implementation of memristive devices and the eventual integration with thin-film transistors (TFTs), based on the same material/technique for electronic support, significantly reduce manufacturing costs and efforts and allow for an easy system implementation with less various technology interfacing.
We invite researchers and scientists to showcase their work in this Special Issue with research papers and review articles focusing on trends in memristors, thin-film transistors, diodes and integration strategies, modelling and simulation, from fundamental research to applications.
Dr. Asal Kiazadeh
Dr. Emanuel Carlos
Guest Editors
Manuscript Submission Information
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Keywords
- solution-based technology (coating and printing techniques)
- AOS memristive devices and systems
- neuromorphic computing with AOS-based memristors
- pattern recognition based on AOS memristors
- integration of AOS memristors with TFTs
- system-on-panel applications
- novel circuits on AOS-based memristors
- modeling and simulation of AOS processes for memristive devices
- circuit models and simulation of AOS memristors and TFTs
- resistive RAM based on AOS materials
