Autors: Mladenov, V. M., Kirilov, S. M.
Title: An Improved Memristor Model and Applications
Keywords: metal-oxide memristors , improved memristor model , nonlinea

Abstract: Memristors are promising and useful electronic elements with good memory and switching properties. Due to their nano-sizes, low energy consumption and good compatibility to CMOS high-density integrated chips, memristors could be utilized in neural networks, memory crossbars, and many other electronic schemes. In this work, an improved and simple, fast-functioning model of metal-oxide memristors is offered. Its corresponding LTSPICE library model is generated and applied for analysis of memory crossbars. The suggested model successfully operates at high-frequency signals, expressing the main fingerprints of memristors. Its appropriate operation in complex memristor-based electronic devices and circuits is established.

References

    Issue

    MOCAST, pp. 1-4, 2023, Greece, IEEE, doi: 10.1109/MOCAST57943.2023.10176507

    Цитирания (Citation/s):
    1. Ramírez, L.C., Sánchez-Gaspariano, L.A., Vivaldo-de-la-Cruz, I., Muñiz-Montero, C. and Bautista-Castillo, A.I., 2024. “E2SCAPy: Electric and electronic symbolic circuit analysis in python,” SoftwareX, vol. 28, pp. 1-9, ISSN 23527110, DOI 10.1016/j.softx.2024.101910 (Scopus, Google Scholar) IF 2.4, SJR 0.544 - 2024 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus