Titlebook: Memristors and Memristive Systems; Ronald Tetzlaff Book 2014 Springer Science+Business Media New York 2014 EmergingMemory.HP Memristors.Me

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FEMUR

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Application of the Volterra Series Paradigm to Memristive Systemsnique systems. After a brief pedagogical review of the Volterra series theory, this paper introduces a systematic technique enabling the accurate reproduction of the dynamical behavior of classes of memristor circuits.

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Memristive Devices: Switching Effects, Modeling, and Applicationsand processer units, become less and less efficient when large amount of data have to be moved around and processed quickly. Alternative approaches such as bio-inspired neuromorphic circuits, with distributed computing and localized storage in networks, become attractive options [2–6].

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Redox-Based Memristive Devicesegration capability with the current CMOS process. In this chapter, we will describe the current understanding of the physical mechanism of redox-based resistive switching and address several technological aspects of metal-oxide ReRAMs.

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Memristor Device Engineering and CMOS Integration for Reconfigurable Logic Applicationses including fabrication techniques, choice of materials, and geometry engineering are then reviewed. Finally, hybrid memristor/CMOS circuits that integrate CMOS with memristive devices as reconfigurable switches are presented.

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Book 2014 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.

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