Memristors and Memristive Systems, Softcover reprint of the original 1st ed. 2014

Coordinator: Tetzlaff Ronald

Language: English

Approximative price 105.49 €

Subject to availability at the publisher.

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Memristors and Memristive Systems
Support: Print on demand

105.49 €

Subject to availability at the publisher.

Add to cartAdd to cart
Memristors and Memristive Systems
409 p. · 15.5x23.5 cm · Hardback
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.
Part I Introduction.- How We Found the Missing Memristor.- Vignettes from Memristor.- Part II Theory, Modeling and Simulation.- The Art and Science of Constructing a Memristor Model.- Fourth Fundamental Circuit Element: SPICE Modeling and Simulation.- Part III Memristive Devices and Applications.- Application of the Volterra Series Paradigm to Memristive Systems.- Memristive Devices: Switching Effects, Modeling, and Applications.- Redox-based Memristive Devices.- Silicon Nanowire-based Memristive Systems.- Spintronic Memristor as Interface Between DNA and Solid State Devices.- Part IV Reconfigurable Logic Circuits and Neuromorphic Systems.- Memristor-Based Resistive Computing.- Memristor Device Engineering and CMOS Integration for Reconfigurable Logic Applications.- Spike-Timing-Dependent-Plasticity in Hybrid Memristive-CMOS Spiking Neuromorphic Systems.- Memristor for Neuromorphic Applications: Models and Circuit Implementations.

Provides a single-source reference to the state of the art in memristor research

Explains the theory of memristors and memristive networks

Demonstrates a variety of memristor realizations with focus on resistive random access memories

Enables readers to use neuromorphic modeling to understand complex phenomena in biological systems