International Conference on Modern Circuits and Systems Technologies (MOCAST) on Electronics and Communications 2023

Dear Colleagues,

Nanoelectronic materials and elements are of specific significance for enhancement when establishing novel electronic digital and analog circuits and devices. Various materials based on metal oxides as titanium dioxide, zinc oxide, niobium oxide, metal chalcogenides, carbon nanofibers, silicon nanoparticles, nanocomposite substances, polymers, and many others are being successfully applied in the fabrication of digital and analog CMOS integrated circuits, sensors, and other nanoelectronic schemes. In the last years, many research institutions around the world have attempted to innovate and optimize ultra-high density integrated chips by applying new and promising nanoelectronic elements and technologies. Some examples include low-power GaN UV light-emitting diodes, semiconductor photocatalysts, silicon nanowired chemical sensors, and memristors—a comparatively new circuit element with good memory and switching properties, low power consumption, and good compatibility with CMOS integrated circuits technologies. They are mainly based on transition metal oxides and other substances such as halcogenides, organic compounds, spintronics, and others. They are applicable in various electronic devices, such as in high-density non-volatile memory crossbars, logic schemes, neural networks, oscillators, and filters, to name but a few.

The design of new and complex electronic schemes based on new nanoelectronic elements requires appropriate software environment, e.g., ORCAD PSPICE, LTSPICE, and CADENCE, and fast-operating models of the elements. In this sense, the generation and optimization of suitable models is a key point in the engineering of electronic devices. The main goal of this Special Issue is to collect new research works on novel nanoelectronic elements, the corresponding schemes, and their analysis and design. Example topics of the proposed contributions include but are not limited to:

• Novel materials and technologies for fabrication of integrated chips;
• Novel nanoelectronic elements;
• CMOS nanoelectronic circuits—modeling and analysis;
• Logic gates and schematics based on nanoelectronic elements;
• Reconfigurable analog and digital circuits and devices;
• Artificial intelligence circuits and systems based on novel nanoelectronic elements.

Prof. Dr. Valeri Mladenov
Prof. Dr. Spyridon Nikolaidis
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. Nanomaterials is an international peer-reviewed open access semimonthly 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 2900 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.

• nanomaterials
• nanoelectronic elements
• memristors
• integrated chips
• CMOS nanoelectronic circuits
• neural networks
• artificial intelligence
• nanoelectronic elements modeling