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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• 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