Memristors And Memristive Systems

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Memristors And Memristive Systems
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Author : Ronald Tetzlaff
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-11
Memristors And Memristive Systems written by Ronald Tetzlaff and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-11 with Technology & Engineering categories.
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.
Memristors And Memristive Systems
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Author : Ronald Tetzlaff
language : en
Publisher:
Release Date : 2013-12-31
Memristors And Memristive Systems written by Ronald Tetzlaff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-31 with categories.
Advances In Memristors Memristive Devices And Systems
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Author : Sundarapandian Vaidyanathan
language : en
Publisher: Springer
Release Date : 2017-02-15
Advances In Memristors Memristive Devices And Systems written by Sundarapandian Vaidyanathan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-15 with Technology & Engineering categories.
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 various topics addressed in this book, and covers broad areas of memristors and memristive devices such as: memristor emulators, oscillators, chaotic and hyperchaotic memristive systems, control of memristive systems, memristor-based min-max circuits, canonic memristors, memristive-based neuromorphic applications, implementation of memristor-based chaotic oscillators, inverse memristors, linear memristor devices, delayed memristive systems, flux-controlled memristive emulators, etc. Throughout the book, special emphasis is given to papers offering practical solutions and design, modeling, and implementation insights to address current research problems in memristors, memristive devices and systems. As such, it offers a valuable reference book on memristors and memristive devices for graduate students and researchers with a basic knowledge of electrical and control systems engineering.
Memristor And Memristive Neural Networks
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Author : Alex James
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-04-04
Memristor And Memristive Neural Networks written by Alex James and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-04 with Computers categories.
This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three parts: (1) Devices, (2) Models and (3) Applications. The resistive switching property is an important aspect of the memristors, and there are several designs of this discussed in this book, such as in metal oxide/organic semiconductor nonvolatile memories, nanoscale switching and degradation of resistive random access memory and graphene oxide-based memristor. The modelling of the memristors is required to ensure that the devices can be put to use and improve emerging application. In this book, various memristor models are discussed, from a mathematical framework to implementations in SPICE and verilog, that will be useful for the practitioners and researchers to get a grounding on the topic. The applications of the memristor models in various neuromorphic networks are discussed covering various neural network models, implementations in A/D converter and hierarchical temporal memories.
Memristor Networks
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Author : Andrew Adamatzky
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-18
Memristor Networks written by Andrew Adamatzky and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-18 with Computers categories.
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, neuromorphic circuits and programmable electronics. Memristor Networks focuses on the design, fabrication, modelling of and implementation of computation in spatially extended discrete media with many memristors. Top experts in computer science, mathematics, electronics, physics and computer engineering present foundations of the memristor theory and applications, demonstrate how to design neuromorphic network architectures based on memristor assembles, analyse varieties of the dynamic behaviour of memristive networks and show how to realise computing devices from memristors. All aspects of memristor networks are presented in detail, in a fully accessible style. An indispensable source of information and an inspiring reference text, Memristor Networks is an invaluable resource for future generations of computer scientists, mathematicians, physicists and engineers.
Recent Advances Of Neural Network Models And Applications
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Author : Simone Bassis
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-19
Recent Advances Of Neural Network Models And Applications written by Simone Bassis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-19 with Technology & Engineering categories.
This volume collects a selection of contributions which has been presented at the 23rd Italian Workshop on Neural Networks, the yearly meeting of the Italian Society for Neural Networks (SIREN). The conference was held in Vietri sul Mare, Salerno, Italy during May 23-24, 2013. The annual meeting of SIREN is sponsored by International Neural Network Society (INNS), European Neural Network Society (ENNS) and IEEE Computational Intelligence Society (CIS). The book – as well as the workshop- is organized in two main components, a special session and a group of regular sessions featuring different aspects and point of views of artificial neural networks, artificial and natural intelligence, as well as psychological and cognitive theories for modeling human behaviors and human machine interactions, including Information Communication applications of compelling interest.
Memristors
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Author : Alex James
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-05-27
Memristors written by Alex James and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-27 with Technology & Engineering categories.
This Edited Volume Memristors - Circuits and Applications of Memristor Devices is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in the field of Engineering. The book comprises single chapters authored by various researchers and edited by an expert active in the physical sciences, engineering, and technology research areas. All chapters are complete in itself but united under a common research study topic. This publication aims at providing a thorough overview of the latest research efforts by international authors on physical sciences, engineering, and technology,and open new possible research paths for further novel developments.
Memristor Emulator Circuits
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Author : Abdullah G. Alharbi
language : en
Publisher: Springer Nature
Release Date : 2020-09-01
Memristor Emulator Circuits written by Abdullah G. Alharbi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-01 with Technology & Engineering categories.
This book provides a comprehensive study of the research outcomes on memristor emulator circuits and includes various analog applications as examples. The authors describe in detail how to design different types of memristor emulators, using active and passive components for different applications. Most of the emulator circuits presented in this book are new and are the outcomes of the authors’ recent research. Coverage also includes the latest technological advances in memristor and memristor emulators. Readers will benefit from an understanding of the fundamental concepts and potential applications related to memristors, since these emulator circuits can be built in the laboratory using inexpensive, off-the-shelf circuit components. Introduces readers to memristor emulator circuit design, using regular off-the-shelf circuit components; Describes analog applications of memristors that can be verified by the proposed emulator circuits; Includes a brief overview of the updated mathematical models of the memristor device, with different material implementations; Equips readers to understand the three fingerprints of memristors, which make them unique, compared to the three known, passive elements (resistor, inductor and capacitor).
Advances In Memristor Neural Networks Modeling And Applications
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Author : Calin Ciufudean
language : en
Publisher:
Release Date : 2018
Advances In Memristor Neural Networks Modeling And Applications written by Calin Ciufudean and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Mathematics categories.
Nowadays, scientific research deals with alternative solutions for creating non-traditional computing systems, such as neural network architectures where the stochastic nature and live dynamics of memristive models play a key role. The features of memristors make it possible to direct processing and analysis of both biosystems and systems driven by artificial intelligence, as well as develop plausible physical models of spiking neural networks with self-organization. This book deals with advanced applications illustrating these concepts, and delivers an important contribution for the achievement of the next generation of intelligent hybrid biostructures. Different modeling and simulation tools can deliver an alternative to funding the theoretical approach as well as practical implementation of memristive systems.
Memristor
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2022-08-31
Memristor written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-31 with Technology & Engineering categories.
What Is Memristor Electrical components with two terminals and a non-linear connection between the flow of electric charge and magnetic flux are known as memristors. Leon Chua was the one who first characterized and gave it its name in 1971. With its addition, a theoretical quartet of essential electrical components was completed, which also included the resistor, the capacitor, and the inductor. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Memristor Chapter 2: Hall effect Chapter 3: MOSFET Chapter 4: CMOS Chapter 5: Spintronics Chapter 6: Capacitance Chapter 7: Electrical element Chapter 8: Negative resistance Chapter 9: Neuromorphic engineering Chapter 10: Tunnel magnetoresistance Chapter 11: Phase-change memory Chapter 12: Coulomb blockade Chapter 13: Chua's circuit Chapter 14: Quantum point contact Chapter 15: Resistive random-access memory Chapter 16: Quantum stirring, ratchets, and pumping Chapter 17: Shockley?Queisser limit Chapter 18: Phase qubit Chapter 19: Physical neural network Chapter 20: Carbon nanotube field-effect transistor Chapter 21: Memistor (II) Answering the public top questions about memristor. (III) Real world examples for the usage of memristor in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of memristor' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of memristor.