Memristive technologies for data storage, computation, encryption, and radio-frequency communication
Memristive devices, which combine a resistor with memory functions such that voltage
pulses can change their resistance (and hence their memory state) in a nonvolatile manner …
pulses can change their resistance (and hence their memory state) in a nonvolatile manner …
Wurtzite and fluorite ferroelectric materials for electronic memory
Ferroelectric materials, the charge equivalent of magnets, have been the subject of
continued research interest since their discovery more than 100 years ago. The …
continued research interest since their discovery more than 100 years ago. The …
Standards for the characterization of endurance in resistive switching devices
Resistive switching (RS) devices are emerging electronic components that could have
applications in multiple types of integrated circuits, including electronic memories, true …
applications in multiple types of integrated circuits, including electronic memories, true …
Physics for neuromorphic computing
Neuromorphic computing takes inspiration from the brain to create energy-efficient hardware
for information processing, capable of highly sophisticated tasks. Systems built with standard …
for information processing, capable of highly sophisticated tasks. Systems built with standard …
Resistive switching materials for information processing
The rapid increase in information in the big-data era calls for changes to information-
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …
[图书][B] Efficient processing of deep neural networks
This book provides a structured treatment of the key principles and techniques for enabling
efficient processing of deep neural networks (DNNs). DNNs are currently widely used for …
efficient processing of deep neural networks (DNNs). DNNs are currently widely used for …
ReRAM: History, status, and future
Y Chen - IEEE Transactions on Electron Devices, 2020 - ieeexplore.ieee.org
This article reviews the resistive random-access memory (ReRAM) technology initialization
back in the 1960s and its heavily focused research and development from the early 2000s …
back in the 1960s and its heavily focused research and development from the early 2000s …
Complementary metal‐oxide semiconductor and memristive hardware for neuromorphic computing
M Rahimi Azghadi, YC Chen… - Advanced Intelligent …, 2020 - Wiley Online Library
The ever‐increasing processing power demands of digital computers cannot continue to be
fulfilled indefinitely unless there is a paradigm shift in computing. Neuromorphic computing …
fulfilled indefinitely unless there is a paradigm shift in computing. Neuromorphic computing …
Advances in emerging memory technologies: From data storage to artificial intelligence
G Molas, E Nowak - Applied Sciences, 2021 - mdpi.com
This paper presents an overview of emerging memory technologies. It begins with the
presentation of stand-alone and embedded memory technology evolution, since the …
presentation of stand-alone and embedded memory technology evolution, since the …
Memristive dynamics enabled neuromorphic computing systems
The slowing down of transistor scaling and explosive growth for intelligence computing
power emerge as the two driving factors for the study of novel devices and materials to …
power emerge as the two driving factors for the study of novel devices and materials to …