supported by the National Natural Science Foundation of China(91963125,52473176,22273045);Beijing National Laboratory for Molecular Sciences BNLMS202005;National Key Research and Development Program of China(2017YFA0204902);Tsinghua University Independent Scientific Research Plan for Young Investigator;Tsinghua University Initiative Scientific Research Program。
Solid-phase synthesis as a bottom-up strategy may be a superior way to integrate sophisticated functions into an ultrathin film for miniaturized devices.However,the sluggish reaction dynamics at the solid-liquid inter...
Memristor chaotic research has become a hotspot in the academic world.However,there is little exploration combining memristor and stochastic resonance,and the correlation research between chaos and stochastic resonanc...
Developing efficient neural network(NN)computing systems is crucial in the era of artificial intelligence(AI).Traditional von Neumann architectures have both the issues of"memory wall"and"power wall",limiting the data...
Supported by CUP(J53C22003010006,J43C24000230007);ICREA2019.
Spiking neural networks(SNNs)represent a biologically-inspired computational framework that bridges neuroscience and artificial intelligence,offering unique advantages in temporal data processing,energy efficiency,and...
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...
the National Natural Science Foundation of China(62111540271);Natural Science Foundation of Anhui Province(2308085MF207).
The hierarchical and coordinated processing of visual information by the brain demonstrates its superior ability to min-imize energy consumption and maximize signal transmission efficiency.Therefore,it is crucial to d...
financially supported by Ministry of Science and Technology of China(Grant No.2023YFB-4402301);National Science Fund for Distinguished Young Scholars(Grant No.52025022);National Natural Science Foundation of China(Grant Nos.11974072,U19A2091,52372137,U23A20568,62004016,52272140,52072065);China Postdoctoral Science Foundation(Grant No.GZB20240135);Funds from Jilin Province(Grant No.20230402072GH);Fundamental Research Funds for the Central Universities(Grant No.2412023YQ004)。
Optoelectronic memristors have emerged as promising hardware platforms for highly efficient image perception owing to their low crosstalk,fast response,and low power consumption.However,the development of optoelectron...
supported by the"Science and Technology Development Plan Project of Jilin Province,China"(Grant No.20240101018JJ);the Fundamental Research Funds for the Central Universities(Grant No.2412023YQ004);the National Natural Science Foundation of China(Grant Nos.52072065,52272140,52372137,and U23A20568).
Optoelectronic memristor is generating growing research interest for high efficient computing and sensing-memory applications.In this work,an optoelectronic memristor with Au/a-C:Te/Pt structure is developed.Synaptic ...
supported in part by National Natural Science Foundation of China(Grant Nos.U2341221,62274070);Hubei Province Science and Technology Major Project(Grant No.2022AEA001);Interdisciplinary Research Program of Huazhong University of Science and Technology(Grant No.2023JCYJ042);Hubei Key Laboratory of Advanced Memories。
The memristor crossbar,with its exceptionally high storage density and parallelism,enables efficient vector matrix multiplication(VMM),significantly improving data throughput and computational efficiency.However,its a...