What is it about?

Memristors are two-terminal devices which exhibit properties of memory. It was proposed by Leon Chua in 1971 as a missing element (in addition to the existing three: resistors, capacitors and inductors). The convenience in fabrication of these devices has made them promising elements in digital logic circuits and neural network hardware. This article presents a comprehensive review of the memristor technologies: theory, models and applications.

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Why is it important?

We present a fundamental yet holistic review of memristors. The work includes: (a) summary of memristors based on silicon and alternative materials, (b) summary of basic mathematical models, (c) applications of memristors, and (d) perspectives based on current state-of-art. Significant categories of applications of memristors include digital logic, circuits, machine learning, neural network, neuromorphic computing, oscillators, cryptography, CMOS-compatible logic, biomaterials and sensing strategies.

Perspectives

We think this article is written with a wide scope of readability. It can be a beginner's article for anyone willing to know about memristors, or a informative article for anyone who is searching for new memristor-based areas to work on. The article focuses on less-explored areas of applications of memristors like cryptography, which hints towards open problems and challenges in them. We believe that the section on authors' perspectives further enhance the scope of the article, and invites interested researchers and enthusiasts to explore the less-explored domains of memristors.

Rupam Goswami
Tezpur University

When we delved into the works on memristors, we were surprised to know how a two-terminal element can be a possible gamechanger in the electronics industry. We wanted interested readers to know about it in a systematic manner. So, we thought of organizing the content into different important sections in the article.

Mr. Hirakjyoti Choudhury
Tezpur University

Read the Original

This page is a summary of: Memristors as Prospective Devices for Silicon and Post-Silicon Eras: Theory, Applications and Perspectives, June 2024, Bentham Science Publishers,
DOI: 10.2174/9789815238242124010018.
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