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Memories - Materials Devices Circuits and Systems is a peer-reviewed journal published by Elsevier, covering Advanced Memory and Neural Computing, Ferroelectric and Negative Capacitance Devices, Semiconductor materials and devices.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Memories - Materials Devices Circuits and Systems 12 (2023) 45–58.
Formats any DOI in Memories - Materials Devices Circuits and Systems style. No sign-up. |
| Publishes research in | Advanced Memory and Neural Computing Ferroelectric and Negative Capacitance Devices Semiconductor materials and devices Advancements in Semiconductor Devices and Circuit Design Neuroscience and Neural Engineering |
| ISSN | 2773-0646 |
| Citation impact (2-yr) | 2.34 |
| h-index | 16 |
| i10-index | 35 |
| Total citations | 945 |
| Open access | Yes |
| Top institutions publishing here | Islamic Azad University Central Tehran Branch |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Processing-in-memory (PIM) techniques have gained much attention from computer architecture researchers, and significant research effort has been invested in exploring and developing such techniques. Increasing the research activity dedicated to improving PIM techniques will hopefully help deliver PIM’s promise to solve or significantly reduce memory access bottleneck problems for memory-intensive applications. We also believe it…
Nanotechnology is the aptitude to perceive, measure, operate, and build materials at the nanometer scale, the size of atoms and molecules. Nanotechnology, is involved in many scientific and practical applications, including health, agriculture, electronic devices, computer science and many other fields. At the same time, computers play an essential role in simulating and analyzing the…
In the context of neuromorphic computing chip engineering, this review paper explores the area of bio-inspired artificial synapses with a focus on the incorporation of soft biomaterials. Soft biomaterials, including biocompatible hydrogels and organic polymers, have definite advantages in resembling the soft and dynamic properties of biological synapses. The article gives a general review of…
Smart computing on edge-devices has demonstrated huge potential for various application sectors such as personalized healthcare and smart robotics. These devices aim at bringing smart computing close to the source where the data is generated or stored, while coping with the stringent resource budget of the edge platforms. The conventional Von-Neumann architecture fails to meet…
Resistive switching (RS) behavior of bilayer of poly(4-vinylphenol) (PVP): molybdenum disulfide (MoS 2) nanocomposite (NC) and TiO 2 in resistive random-access memory (RRAM) devices were explored. Devices were demonstrated on indium tin oxide (ITO) coated glass and polyethylene naphtholate (PEN) substrates, with ITO acting as bottom electrode and Ag as top electrode for both rigid…
