Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The arrival of the 'information age' took most people by surprise - including scientists and technologists. Today, research on better, smaller, and faster ways to store and transfer information continues to grow, and growing fast within this scope is the field of magnetoelectronics. With its possibilities as a magnetic storage technology capable of overcoming the vulnerabilities of CMOS (complementary metal on oxide semiconductor), magnetoelectronics promises to be an important installation in the information era.

Spintronics. --- Magnetic memory (Computers) --- Magnetic memory (Calculating-machines) --- Magnetic storage (Computers) --- Memory devices (Computers) --- Storage elements (Computers) --- Computer storage devices --- Magnetic devices --- Fluxtronics --- Magnetoelectronics --- Spin electronics --- Spinelectronics --- Microelectronics --- Nanotechnology

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book is an introduction to the fundamentals of emerging non-volatile memories and provides an overview of future trends in the field. Readers will find coverage of seven important memory technologies, including Ferroelectric Random Access Memory (FeRAM), Ferromagnetic RAM (FMRAM), Multiferroic RAM (MFRAM), Phase-Change Memories (PCM), Oxide-based Resistive RAM (RRAM), Probe Storage, and Polymer Memories. Chapters are structured to reflect diffusions and clashes between different topics. Emerging Non-Volatile Memories is an ideal book for graduate students, faculty, and professionals working in the area of non-volatile memory. This book also: Covers key memory technologies, including Ferroelectric Random Access Memory (FeRAM), Ferromagnetic RAM (FMRAM), and Multiferroic RAM (MFRAM), among others. Provides an overview of non-volatile memory fundamentals. Broadens readers’ understanding of future trends in non-volatile memories.

Magnetic memory (Computers) --- Testing. --- Design. --- Magnetic memory (Calculating-machines) --- Magnetic storage (Computers) --- Memory devices (Computers) --- Storage elements (Computers) --- Computer storage devices --- Magnetic devices --- Optical materials. --- Computer engineering. --- Optical and Electronic Materials. --- Solid State Physics. --- Spectroscopy and Microscopy. --- Electrical Engineering. --- Computers --- Optics --- Materials --- Design and construction --- Electronic materials. --- Solid state physics. --- Spectroscopy. --- Microscopy. --- Electrical engineering. --- Electric engineering --- Engineering --- Analysis, Microscopic --- Light microscopy --- Micrographic analysis --- Microscope and microscopy --- Microscopic analysis --- Optical microscopy --- Analysis, Spectrum --- Spectra --- Spectrochemical analysis --- Spectrochemistry --- Spectrometry --- Spectroscopy --- Chemistry, Analytic --- Interferometry --- Radiation --- Wave-motion, Theory of --- Absorption spectra --- Light --- Spectroscope --- Physics --- Solids --- Electronic materials --- Qualitative --- Analytical chemistry

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book explores the design implications of emerging, non-volatile memory (NVM) technologies on future computer memory hierarchy architecture designs. Since NVM technologies combine the speed of SRAM, the density of DRAM, and the non-volatility of Flash memory, they are very attractive as the basis for future universal memories. This book provides a holistic perspective on the topic, covering modeling, design, architecture and applications. The practical information included in this book will enable designers to exploit emerging memory technologies to improve significantly the performance/power/reliability of future, mainstream integrated circuits. • Provides a comprehensive reference on designing modern circuits with emerging, non-volatile memory technologies, such as MRAM and PCRAM; • Explores new design opportunities offered by emerging memory technologies, from a holistic perspective; • Describes topics in technology, modeling, architecture and applications; • Enables circuit designers to exploit emerging memory technologies to improve significantly the performance/power/reliability of future computing systems. .

Computer storage devices. --- Magnetic memory (Computers) --- Magnetic memory (Calculating-machines) --- Magnetic storage (Computers) --- Memory devices (Computers) --- Storage elements (Computers) --- Computer memory systems --- Computers --- Electronic digital computers --- Storage devices, Computer --- Memory systems --- Storage devices --- Random access memory --- Engineering. --- Microprocessors. --- Electronics. --- Microelectronics. --- Electronic circuits. --- Circuits and Systems. --- Processor Architectures. --- Electronics and Microelectronics, Instrumentation. --- Computer storage devices --- Magnetic devices --- Computer input-output equipment --- Memory management (Computer science) --- Systems engineering. --- Computer science. --- Electrical engineering --- Physical sciences --- Informatics --- Science --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Design and construction --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Minicomputers --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Design and construction.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Posited by Professor Leon Chua at UC Berkeley more than 40 years ago, memristors, a nonlinear element in electrical circuitry, are set to revolutionize computing technology. Finally discovered by scientists at Hewlett-Packard in 2008, memristors  generate huge interest because they can facilitate nanoscale, real-time computer learning, as well as due to their potential of serving as instant memories. . This edited volume bottles some of the excitement about memristors, providing a state-of-the-art overview of neuromorphic memristor theory, as well as its technological and practical aspects. Based on work presented to specialist memristor seminars organized by the editors, the volume takes readers from a general introduction the fundamental concepts involved, to specialized analysis of computational modeling, hardware, and applications. The latter include the ground-breaking potential of memristors in facilitating hybrid wetware-hardware technologies for in-vitro experiments. The book evinces, and devotes space to the discussion of, the socially transformative potential of memristors, which could be as pervasive as was the invention of the silicon chip: machines that learn in the style of brains, are a computational Holy Grail. With contributions from key players in a fast-moving field, this edited volume is the first to cover memristors in the depth needed to trigger the further advances that surely lie around the corner.

Neuromorphics. --- Magnetic memory (Computers). --- Memristors. --- Neuromorphic circuits. --- Memristors --- Nanoelectronics --- Neuromorphics --- Neural networks (Computer science) --- Pattern Recognition, Automated --- Biological Science Disciplines --- Computing Methodologies --- Mathematical Concepts --- Phenomena and Processes --- Natural Science Disciplines --- Information Science --- Disciplines and Occupations --- Neurosciences --- Artificial Intelligence --- Neural Networks (Computer) --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Electrical Engineering --- Medicine. --- Neurosciences. --- Artificial intelligence. --- Neural networks (Computer science). --- Nanoscale science. --- Nanoscience. --- Nanostructures. --- Biomedicine. --- Biomedicine general. --- Nanoscale Science and Technology. --- Artificial Intelligence (incl. Robotics). --- Mathematical Models of Cognitive Processes and Neural Networks. --- Nanoscience --- Physics --- Nano science --- Nanoscale science --- Nanosciences --- Science --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Pathology --- Physicians --- Artificial Intelligence. --- Neural networks (Computer science) . --- Biomedicine, general. --- Health Workforce