Emerging Non-volatile Memory Technologies : Physics, Engineering, and Applications
1st ed. 2021
Book Details
Format
Hardback or Cased Book
ISBN-10
981156910X
ISBN-13
9789811569104
Edition
1st ed. 2021
Publisher
Springer Verlag, Singapore
Imprint
Springer Verlag, Singapore
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jan 10th, 2021
Print length
438 Pages
Product Classification:
Condensed matter physics (liquid state & solid state physics)Condensed matter physics (liquid state and solid state physics)Electricity, electromagnetism & magnetismElectricity, electromagnetism and magnetismSpectrum analysis, spectrochemistry, mass spectrometryCircuits & componentsElectronics: circuits and componentsElectronic devices & materialsElectronic devices and materials
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In the second half of the book, the underlying device physics supported by different experimental observations and modelling of RRAM devices are presented with memory array level implementation.
This book offers a balanced and comprehensive guide to the core principles, fundamental properties, experimental approaches, and state-of-the-art applications of two major groups of emerging non-volatile memory technologies, i.e. spintronics-based devices as well as resistive switching devices, also known as Resistive Random Access Memory (RRAM). The first section presents different types of spintronic-based devices, i.e. magnetic tunnel junction (MTJ), domain wall, and skyrmion memory devices. This section describes how their developments have led to various promising applications, such as microwave oscillators, detectors, magnetic logic, and neuromorphic engineered systems. In the second half of the book, the underlying device physics supported by different experimental observations and modelling of RRAM devices are presented with memory array level implementation. An insight into RRAM desired properties as synaptic element in neuromorphic computing platforms from material and algorithms viewpoint is also discussed with specific example in automatic sound classification framework.
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