Memristors and Memristive Systems

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 sho...

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Detalles Bibliográficos
Otros Autores: Tetzlaff, Ronald (ed.)
Formato: Libro electrónico
Lenguaje:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2014.
Materias:
Acceso en línea:http://dx.doi.org/10.1007/978-1-4614-9068-5
Aporte de:Registro referencial: Solicitar el recurso aquí
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505 0 |a 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. 
520 |a 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. ·         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. 
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