Memristive technologies for data storage, computation, encryption, and radio-frequency communication

M Lanza, A Sebastian, WD Lu, M Le Gallo, MF Chang… - Science, 2022 - science.org
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 …

Wurtzite and fluorite ferroelectric materials for electronic memory

KH Kim, I Karpov, RH Olsson III, D Jariwala - Nature Nanotechnology, 2023 - nature.com
Ferroelectric materials, the charge equivalent of magnets, have been the subject of
continued research interest since their discovery more than 100 years ago. The …

Standards for the characterization of endurance in resistive switching devices

M Lanza, R Waser, D Ielmini, JJ Yang, L Goux… - ACS …, 2021 - ACS Publications
Resistive switching (RS) devices are emerging electronic components that could have
applications in multiple types of integrated circuits, including electronic memories, true …

Physics for neuromorphic computing

D Marković, A Mizrahi, D Querlioz, J Grollier - Nature Reviews Physics, 2020 - nature.com
Neuromorphic computing takes inspiration from the brain to create energy-efficient hardware
for information processing, capable of highly sophisticated tasks. Systems built with standard …

Resistive switching materials for information processing

Z Wang, H Wu, GW Burr, CS Hwang, KL Wang… - Nature Reviews …, 2020 - nature.com
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 …

[图书][B] Efficient processing of deep neural networks

V Sze, YH Chen, TJ Yang, JS Emer - 2020 - Springer
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 …

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 …

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 …

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 …

Memristive dynamics enabled neuromorphic computing systems

B Yan, Y Yang, R Huang - Science China Information Sciences, 2023 - Springer
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 …