Frontiers In Memristive Materials For Neuromorphic Processing Applications PDF Download
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| Author | : National Academies of Sciences Engineering and Medicine |
| Publisher | : |
| Total Pages | : |
| Release | : 2021-09-22 |
| Genre | : |
| ISBN | : 9780309683197 |
Download Frontiers in Memristive Materials for Neuromorphic Processing Applications Book in PDF, ePub and Kindle
Current von Neumann style computing is energy inefficient and bandwidth limited as information is physically shuttled via electrons between processor, short term non-volatile memory, and long-term storage. Biologically inspired neuromorphic computing, with its inherent autonomous learning capabilities and much lower power requirements based on analog processing, is seen as an avenue for overcoming these limitations. The development of nanoelectronic memory resistors, or memristors, is essential to neuromorphic architectures as they allow logic-based elements for information processing to be combined directly with nonvolatile memory for efficient emulation of neurons and synapses found in the brain. Memristors are typically composed of a switchable material with nonlinear hysteretic behavior sandwiched between two conducting encoding elements. The design, dynamic control, scaling and fundamental understanding of these materials is essential for establishing memristive devices. To explore the state-of-the-art in the materials fundamentally underlying memristor technologies: their science, their mechanisms and their functional imperatives to realize neuromorphic computing machines, the National Academies of Sciences, Engineering, and Medicine's Board on Physics and Astronomy convened a workshop on February 28, 2020. This publication summarizes the presentation and discussion of the workshop.
| Author | : National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Physics and Astronomy |
| Publisher | : |
| Total Pages | : 103 |
| Release | : 2021 |
| Genre | : Memristors |
| ISBN | : 9780309683203 |
Download Frontiers in Memristive Materials for Neuromorphic Processing Applications Book in PDF, ePub and Kindle
| Author | : Huanglong Li |
| Publisher | : Frontiers Media SA |
| Total Pages | : 203 |
| Release | : 2022-02-21 |
| Genre | : Science |
| ISBN | : 2889744604 |
Download Memristive Neuromorphics: Materials, Devices, Circuits, Architectures, Algorithms and their Co-Design Book in PDF, ePub and Kindle
| Author | : Christos Volos |
| Publisher | : Academic Press |
| Total Pages | : 570 |
| Release | : 2021-06-17 |
| Genre | : Technology & Engineering |
| ISBN | : 0128232021 |
Download Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications Book in PDF, ePub and Kindle
Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and in neuromorphic circuits and artificial intelligence. The book is mainly devoted to recent results, critical aspects and perspectives of ongoing research on relevant topics, all involving networks of mem-elements devices in diverse applications. Sections contribute to the discussion of memristive materials and transport mechanisms, presenting various types of physical structures that can be fabricated to realize mem-elements in integrated circuits and device modeling. As the last decade has seen an increasing interest in recent advances in mem-elements and their applications in neuromorphic circuits and artificial intelligence, this book will attract researchers in various fields. Covers a broad range of interdisciplinary topics between mathematics, circuits, realizations, and practical applications related to nonlinear dynamical systems, nanotechnology, analog and digital systems, computer science and artificial intelligence Presents recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) Includes interesting applications of mem-elements in nonlinear dynamical systems, analog and digital systems, neuromorphic circuits, computer science and artificial intelligence
| Author | : Robert Kozma |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 318 |
| Release | : 2012-06-28 |
| Genre | : Medical |
| ISBN | : 9400744919 |
Download Advances in Neuromorphic Memristor Science and Applications Book in PDF, ePub and Kindle
Physical implementation of the memristor at industrial scale sparked the interest from various disciplines, ranging from physics, nanotechnology, electrical engineering, neuroscience, to intelligent robotics. As any promising new technology, it has raised hopes and questions; it is an extremely challenging task to live up to the high expectations and to devise revolutionary and feasible future applications for memristive devices. The possibility of gathering prominent scientists in the heart of the Silicon Valley given by the 2011 International Joint Conference on Neural Networks held in San Jose, CA, has offered us the unique opportunity of organizing a series of special events on the present status and future perspectives in neuromorphic memristor science. This book presents a selection of the remarkable contributions given by the leaders of the field and it may serve as inspiration and future reference to all researchers that want to explore the extraordinary possibilities given by this revolutionary concept.
| Author | : Alex James |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 326 |
| Release | : 2018-04-04 |
| Genre | : Computers |
| ISBN | : 9535139479 |
Download Memristor and Memristive Neural Networks Book in PDF, ePub and Kindle
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.
| Author | : Ctirad Uher |
| Publisher | : Frontiers Media SA |
| Total Pages | : 140 |
| Release | : 2024-01-09 |
| Genre | : Science |
| ISBN | : 2832542638 |
Download Celebrating 1 year of Frontiers in Electronic Materials Book in PDF, ePub and Kindle
| Author | : Calin Ciufudean |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 126 |
| Release | : 2018-10-03 |
| Genre | : Mathematics |
| ISBN | : 1789841151 |
Download Advances in Memristor Neural Networks Book in PDF, ePub and Kindle
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.
| Author | : Jennifer Rupp |
| Publisher | : Springer Nature |
| Total Pages | : 386 |
| Release | : 2021-10-15 |
| Genre | : Technology & Engineering |
| ISBN | : 3030424243 |
Download Resistive Switching: Oxide Materials, Mechanisms, Devices and Operations Book in PDF, ePub and Kindle
This book provides a broad examination of redox-based resistive switching memories (ReRAM), a promising technology for novel types of nanoelectronic devices, according to the International Technology Roadmap for Semiconductors, and the materials and physical processes used in these ionic transport-based switching devices. It covers defect kinetic models for switching, ReRAM deposition/fabrication methods, tuning thin film microstructures, and material/device characterization and modeling. A slate of world-renowned authors address the influence of type of ionic carriers, their mobility, the role of the local and chemical composition and environment, and facilitate readers’ understanding of the effects of composition and structure at different length scales (e.g., crystalline vs amorphous phases, impact of extended defects such as dislocations and grain boundaries). ReRAMs show outstanding potential for scaling down to the atomic level, fast operation in the nanosecond range, low power consumption, and non-volatile storage. The book is ideal for materials scientists and engineers concerned with novel types of nanoelectronic devices such as memories, memristors, and switches for logic and neuromorphic computing circuits beyond the von Neumann concept.
| Author | : Qing Wan |
| Publisher | : John Wiley & Sons |
| Total Pages | : 258 |
| Release | : 2022-05-16 |
| Genre | : Technology & Engineering |
| ISBN | : 3527349790 |
Download Neuromorphic Devices for Brain-inspired Computing Book in PDF, ePub and Kindle
Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence In Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies. The book covers both memristic and neuromorphic devices, including spintronic, multi-terminal, and neuromorphic perceptual applications. Summarizing recent progress made in five distinct configurations of brain-inspired computing, the authors explore this promising technology’s potential applications in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. The book also includes: A thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms Comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviors Practical discussions of neuromorphic devices based on chalcogenide and organic materials In-depth examinations of neuromorphic computing and perceptual systems with emerging devices Perfect for materials scientists, biochemists, and electronics engineers, Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics will also earn a place in the libraries of neurochemists, neurobiologists, and neurophysiologists.
