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.
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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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