<p>This book reports on the latest advances in and applications of memristors, memristive devices and systems. It gathers 20 contributed chapters by subject experts, including pioneers in the field such as Leon Chua (UC Berkeley, USA) and R.S. Williams (HP Labs, USA), who are specialized in the vari
Memristors and Memristive Systems
β Scribed by R. Stanley Williams (auth.), Ronald Tetzlaff (eds.)
- Publisher
- Springer-Verlag New York
- Year
- 2014
- Tongue
- English
- Leaves
- 409
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book provides a comprehensive overview of current research on memristors, memcapacitors and, meminductors. In addition to an historical overview of the research in this area, coverage includes the theory behind memristive circuits, as well as memcapacitance, and meminductance. Details are shown for recent applications of memristors for resistive random access memories, neuromorphic systems and hybrid CMOS/memristor circuits. Methods for the simulation of memristors are demonstrated and an introduction to neuromorphic modeling is provided.
β¦ Table of Contents
Front Matter....Pages i-x
Front Matter....Pages 1-1
How We Found the Missing Memristor....Pages 3-16
If Itβs Pinched Itβs a Memristor....Pages 17-90
Front Matter....Pages 91-91
The Art and Science of Constructing a Memristor Model....Pages 93-104
Fourth Fundamental Circuit Element: SPICE Modeling and Simulation....Pages 105-162
Application of the Volterra Series Paradigm to Memristive Systems....Pages 163-191
Front Matter....Pages 193-193
Memristive Devices: Switching Effects, Modeling, and Applications....Pages 195-221
Redox-Based Memristive Devices....Pages 223-251
Silicon Nanowire-Based Memristive Devices....Pages 253-280
Spintronic Memristor as Interface Between DNA and Solid State Devices....Pages 281-298
Front Matter....Pages 299-299
Memristor-Based Resistive Computing....Pages 301-325
Memristor Device Engineering and CMOS Integration for Reconfigurable Logic Applications....Pages 327-351
Spike-Timing-Dependent-Plasticity in Hybrid Memristive-CMOS Spiking Neuromorphic Systems....Pages 353-377
Memristor for Neuromorphic Applications: Models and Circuit Implementations....Pages 379-403
Back Matter....Pages 405-409
β¦ Subjects
Circuits and Systems; Electronics and Microelectronics, Instrumentation; Electronic Circuits and Devices
π SIMILAR VOLUMES
<p><span>This contributed volume offers practical solutions and design-, modeling-, and implementation-related insights that address current research problems in memristors, memristive devices, and memristor computing. </span></p><p><span>The book studies and addresses related challenges in and prop
This contributed volume offers practical solutions and design-, modeling-, and implementation-related insights that address current research problems in memristors, memristive devices, and memristor computing. The book studies and addresses related challenges in and proposes solutions for the future
<p>Memristors are a new class of circuit element with the ability to change their resistance value while retaining memory of their current and past resistances. Their small form factor, high density, and fast switching times have sparked research into their applications in modern memory hierarchies.
<p><p>Using memristors one can achieve circuit functionalities that are not possible to establish with resistors, capacitors and inductors, therefore the memristor is of great pragmatic usefulness. Potential unique applications of memristors are in spintronic devices, ultra-dense information storage
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