supported by the National Natural Science Foundation of China(62471190);the Natural Science Foundation of Hubei Province,China(2022CFA031)。
Diffusive threshold switching(TS)memristors have emerged as a promising candidate for artificial neurons,effectively replicating neuronal functions and enabling spiking neural networks(SNNs)to emulate the low-power pr...
support from the Beijing Natural Science Foundation-Xiaomi Innovation Joint Fund(No.L233009);National Natural Science Foundation of China(NSFC Nos.62422409,62174152,and 62374159);from the Youth Innovation Promotion Association of Chinese Academy of Sciences(No.2020115).
Memristors have a synapse-like two-terminal structure and electrical properties,which are widely used in the construc-tion of artificial synapses.However,compared to inorganic materials,organic materials are rarely us...
In today’s data-driven world,energy consumption and CO_(2)emissions resulting from digitalization and computation are steadily increasing,which are significant challenges for our society.In the course of natural evol...
The authors acknowledge the support from National Natural Science Foundation of China(Grant Nos.51902061,52072272,62090031).
Two-dimensional(2D)metal oxide α-MoO_(3) shows great potentials because of its very high dielectric constant,air stability and anisotropic phonon polaritons.However,a method to produce ultrathin single crystallineα-...
supported by the 2030 Major Project of the Chinese Ministry of Science and Technology(Grant No.2021ZD0201200);the High-End Foreign Experts Project of the Ministry of Science and Technology(Grant No.G2022178034L);the Postgraduate Research and Practice Innovation Program of Jiangsu Province(Grant Nos.KYCX190956 and 4600KYCX220928);the Jiangsu Province Research Foundation(Grant Nos.BK20191202 and 16KJA510003).
Three-atoms-type V_(2)C MXene,an emerging class of transition metal carbides,has attracted tremendous attention in the fabrication of advanced memristive devices due to its excellent electrochemical properties.However...
funded by the National Natural Science Foundation of China(52172205)。
Memristors have great potential in neural network computation.Perovskite memristors exhibit excellent resistive-switching(RS)properties between high resistance state(HRS)and low resistance state(LRS)state under applie...
supported by the National Natural Science Foundation of China(62304172,62188102,and 62274130);the Natural Science Basic Research Program of Shaanxi(2022JQ-582 and 2022JQ-684);Guangdong Basic and Applied Basic Research Foundation(2021A1515110020);the Fundamental Research Funds for the Central Universities(ZYTS24119);the Scientific Research Program Foundation of Shaanxi Provincial Education Department(22JK0564)。
As a critical command center in organisms,the brain can execute multiple intelligent interactions through neural networks,including memory,learning and cognition.Recently,memristive-based neuromorphic devices have bee...
Ministry of Science and Technology of the People's Republic of China,Grant/Award Number:2023YFB4402301;the fund from Jilin Province,Grant/Award Number:20240101018JJ;111 Project,Grant/Award Number:B13013;Fundamental Research Funds for the Central Universities,Grant/Award Number:2412023YQ004;NSFC for Distinguished Young Scholars,Grant/Award Number:52025022;NSFC Program,Grant/Award Numbers:52272140,U23A20568。
Halide perovskites are considered as promising memristive materials for nextgeneration optoelectronic devices.This review concisely summarizes the recent development of halide perovskite memristors and highlights thei...
This work was supported by the Jinan City-University Integrated Development Strategy Project under Grant(JNSX2023017);National Research Foundation of Korea(NRF)grant funded by the Korea government(MIST)(RS-2023-00302751);by the National Research Foundation of Korea(NRF)funded by the Ministry of Education under Grants 2018R1A6A1A03025242 and 2018R1D1A1A09083353;by Qilu Young Scholar Program of Shandong University.
Neuromorphic hardware equipped with associative learn-ing capabilities presents fascinating applications in the next generation of artificial intelligence.However,research into synaptic devices exhibiting complex asso...
This work was supported by the National Research Foundation,Singapore under Award No.NRF-CRP24-2020-0002.
The conventional computing architecture faces substantial chal-lenges,including high latency and energy consumption between memory and processing units.In response,in-memory computing has emerged as a promising altern...