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Emerging Memory Devices for Smart Power Circuits and Analog Computing Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: 20 December 2026 | Viewed by 2

Special Issue Editors


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Guest Editor
Advanced Research Center on Electronic Systems “Ercole de Castro”, Dipartimento di Ingegneria Elettrica e dell’Informazione “Guglielmo Marconi”, University of Bologna, 40123 Bologna, Italy
Interests: phase-change memory; in-memory computing; ultra-low-power circuits; analog computing

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Guest Editor
Dipartimento di Ingegneria, Università degli Studi della Campania "Luigi Vanvitelli", Via Roma, 81031 Aversa, CE, Italy
Interests: analysis and design of analog circuits; RF communication circuits; nonlinear circuit theory; circuit simulation; wireless sensor networks and electronic circuits for energy harvesting
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Emerging memory technologies are rapidly transforming the landscape of modern electronics, enabling new paradigms in computing and energy-efficient system design. In particular, devices such as phase-change memory (PCM), resistive RAM (RRAM), and other non-volatile memory technologies are opening new opportunities for smart power circuits and analog in-memory computing architectures. These technologies offer unique features, including non-volatility, scalability, and the capability to perform computation directly within memory, thus overcoming the limitations of traditional von Neumann architectures. This Special Issue aims to explore recent advances in emerging memory devices and their integration into smart power and analog computing systems. The focus will be on innovative device technologies, circuit-level implementations, and system-level applications that leverage memory-enabled computation and ultra-low-power operation. Contributions addressing modeling, design methodologies, reliability, and novel applications are particularly welcome. Topics of interest include, but are not limited to: memory-based computing architectures, neuromorphic and in-memory processing, energy-efficient circuit design, integration of emerging memories in power electronics, and experimental demonstrations of advanced memory technologies.

Dr. Alessio Antolini
Dr. Alessandro Lo Schiavo
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 250 words) can be sent to the Editorial Office for assessment.

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. Applied Sciences 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 2400 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.

Keywords

  • emerging memory devices
  • phase-change memory (PCM)
  • resistive RAM (RRAM)
  • in-memory computing
  • analog computing
  • smart power circuits
  • neuromorphic systems
  • ultra-low-power electronics
  • non-volatile memory
  • energy-efficient architectures

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This special issue is now open for submission.
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