Results 31 to 40 of about 25,251 (300)

Overview of emerging memristor families from resistive memristor to spintronic memristor [PDF]

Journal of Materials Science: Materials in Electronics, 2015
AbstractMemristor is a fundamental circuit element in addition to resistor, capacitor, and inductor. As it can remember its resistance state even encountering a power off, memristor has recently received widespread applications from non-volatile memory to neural networks.
Wang, Lei, Yang, CiHui, Wen, Jing, Gai, Shan, Peng, YuanXiu   +4 more
openaire   +1 more source

A Survey of Memristive Threshold Logic Circuits

, 2016
In this paper, we review the different memristive threshold logic (MTL) circuits that are inspired from the synaptic action of flow of neurotransmitters in the biological brain.
James, Alex Pappachen, Jayadevi, Deepthi Anirudhan, Maan, Akshay Kumar   +2 more
core   +1 more source

Recent Advances of Volatile Memristors: Devices, Mechanisms, and Applications

Advanced Intelligent Systems, 2020
Due to the rapid development of artificial intelligence (AI) and internet of things (IoTs), neuromorphic computing and hardware security are becoming more and more important. The volatile memristors, which feature spontaneous decay of device conductance,
Ruopeng Wang, Jia-Qin Yang, Jing-Yu Mao, Zhan-Peng Wang, Shuang Wu, Maojie Zhou, Tianyi Chen, Ye Zhou, Su-Ting Han   +8 more
doaj   +1 more source

PZT optical memristors. [PDF]

Nat Commun
Optical memristors represent a monumental leap in the fusion of photonics and electronics, heralding a new era of applications from neuromorphic computing to artificial intelligence. However, current technologies are hindered by complex fabrication, limited endurance, high optical loss or low modulation depth.
Li C, Yu H, Shu T, Zhang Y, Wen C, Cao H, Xie J, Li H, Xu Z, Zhang G, Yu Z, Li H, Liu L, Shi Y, Qiu F, Dai D.   +15 more
europepmc   +3 more sources

Experience on material implication computing with an electromechanical memristor emulator [PDF]

, 2016
Memristors are being considered as a promising emerging device able to introduce new paradigms in both data storage and computing. In this paper the authors introduce the concept of a quasi-ideal experimental device that emulates the fundamental behavior
Escudero López, Manuel, Moll Echeto, Francisco de Borja, Rubio Sola, Jose Antonio, Sirakoulis, Georgios, Vourkas, Ioannis, Zuin, Stefano   +5 more
core   +1 more source

Research Progress in Dielectric-Layer Material Systems of Memristors

Inorganics
With the rapid growth of data storage, traditional von Neumann architectures and silicon-based storage computing technologies will reach their limits and fail to meet the storage requirements of ultra-small size, ultra-high density, and memory computing.
Chunxia Wang, Xuemei Li, Zhendong Sun, Yang Liu, Ying Yang, Lijia Chen   +5 more
doaj   +1 more source

Co-existence of digital and analog resistive switching in 2D layered BiOI nanosheets for synaptic applications

Materials & Design, 2023
The emulation of the biological synapses is essential for brain-inspired computing which is expected to overcome the traditional von Neumann bottleneck.
Wanxuan Xie, Yang Zhong, Dehui Wang, Lun Zhong, Lu Han, Qiongfen Yang, Wenjing Jie   +6 more
doaj   +1 more source

Asymptotic behavior of memristive circuits

, 2019
The interest in memristors has risen due to their possible application both as memory units and as computational devices in combination with CMOS. This is in part due to their nonlinear dynamics, and a strong dependence on the circuit topology.
Caravelli, Francesco
core   +1 more source

Radiative Thermal Memristor [PDF]

Physical Review Letters, 2019
Based on the thermal hysteresis of a phase change material exchanging radiative heat with a phase invariable one, we propose a radiative thermal memristor characterized by a Lissajous curve between their exchanged heat flux and temperature difference periodically modulated in time.
Ordonez-Miranda, Jose, Ezzahri, Younes, Tiburcio-Moreno, Jose, Joulain, Karl, Drevillon, Jérémie   +4 more
openaire   +3 more sources

Hybrid oxide brain-inspired neuromorphic devices for hardware implementation of artificial intelligence

Science and Technology of Advanced Materials, 2021
The state-of-the-art artificial intelligence technologies mainly rely on deep learning algorithms based on conventional computers with classical von Neumann computing architectures, where the memory and processing units are separated resulting in an ...
Jingrui Wang, Xia Zhuge, Fei Zhuge
doaj   +1 more source