Memristors based on 2D materials as an artificial synapse for neuromorphic electronics

W Huh, D Lee, CH Lee - Advanced materials, 2020 - Wiley Online Library
The memristor, a composite word of memory and resistor, has become one of the most
important electronic components for brain‐inspired neuromorphic computing in recent years …

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 …

[HTML][HTML] Memristive devices based on two-dimensional transition metal chalcogenides for neuromorphic computing

KC Kwon, JH Baek, K Hong, SY Kim, HW Jang - Nano-Micro Letters, 2022 - Springer
Abstract Two-dimensional (2D) transition metal chalcogenides (TMC) and their
heterostructures are appealing as building blocks in a wide range of electronic and …

Towards oxide electronics: a roadmap

M Coll, J Fontcuberta, M Althammer, M Bibes… - Applied surface …, 2019 - orbit.dtu.dk
At the end of a rush lasting over half a century, in which CMOS technology has been
experiencing a constant and breathtaking increase of device speed and density, Moore's …

Memristive devices for computing

JJ Yang, DB Strukov, DR Stewart - Nature nanotechnology, 2013 - nature.com
Memristive devices are electrical resistance switches that can retain a state of internal
resistance based on the history of applied voltage and current. These devices can store and …

Optically stimulated artificial synapse based on layered black phosphorus

T Ahmed, S Kuriakose, ELH Mayes, R Ramanathan… - Small, 2019 - Wiley Online Library
The translation of biological synapses onto a hardware platform is an important step toward
the realization of brain‐inspired electronics. However, to mimic biological synapses, devices …

Memristor-based neural networks

A Thomas - Journal of Physics D: Applied Physics, 2013 - iopscience.iop.org
The synapse is a crucial element in biological neural networks, but a simple electronic
equivalent has been absent. This complicates the development of hardware that imitates …

A mini review of neuromorphic architectures and implementations

RA Nawrocki, RM Voyles… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Neuromorphic architectures are hardware systems that aim to use the principles of neural
function for their basis of operation. Their goal is to harness biologically inspired concepts …

Experimental demonstration of feature extraction and dimensionality reduction using memristor networks

S Choi, JH Shin, J Lee, P Sheridan, WD Lu - Nano letters, 2017 - ACS Publications
Memristors have been considered as a leading candidate for a number of critical
applications ranging from nonvolatile memory to non-Von Neumann computing systems …

[图书][B] Handbook of nanoscience, engineering, and technology

WA Goddard III, D Brenner, SE Lyshevski, GJ Iafrate - 2002 - taylorfrancis.com
Nanotechnology, science, and engineering spearhead the 21st century revolution that is
leading to fundamental breakthroughs in the way materials, devices, and systems are …