Neuromorphic devices based on fluorite-structured ferroelectrics  

作　　者：Dong Hyun Lee Geun Hyeong Park Se Hyun Kim Ju Yong Park Kun Yang Stefan Slesazeck Thomas Mikolajick Min Hyuk Park 

机构地区：[1]Department of Materials Science and Engineering&Inter-University Semiconductor Research Center,College of Engineering,Seoul National University,Seoul,Republic of Korea [2]Research Institute of Advanced Materials,Seoul National University,Seoul,Republic of Korea [3]NaMLab gGmbH,Dresden,Germany [4]Institute of Engineering Research,Seoul National University,Seoul,Republic of Korea

出　　处：《InfoMat》2022年第12期1-32,共32页信息材料（英文）

基　　金：National Research Foundation(NRF)funded by the Korean Ministry of Science and ICT(Grant no.2020R1C1C1008193,2020M3F3A2A01081593,2021M3F3A2A02037889,and 2022M3F3A2A01073562).

摘　　要：A continuous exponential rise has been observed in the storage and processing of the data that may not curtail in the foreseeable future.The required data processing speed and power consumption are restricted by the buses between the logic and memory devices that are characteristic of the von Neumann computing architecture.Bio-mimicking neuromorphic computing has garnered considerable academic and industrial interest to resolve these challenges.Additionally,devices based on emerging nonvolatile memories capable of mimicking the behaviors of synapses and neurons,which are the main elements in biological computing systems(brains),are attracting significant interest from the device community.With the discovery of ferroelectricity in fluorite-structured oxides,such as HfO2 and ZrO2,which are compatible with the state-of-the-art complementary-metal-oxide-semiconductor processes,ferroelectric devices have rapidly evolved as the main direction of these research and development activities.Fundamental science related to fluorite-structured ferroelectrics has been intensively studied over the last decade.At present,the focus is gradually moving to practical applications,including neuromorphic computing and advanced classical processing or memory units in the conventional von Neumann architecture.However,despite its rapid development,the wealth of recent progress in neuromorphic computing devices based on fluorite-structured ferroelectrics has not been reviewed and systemized.This progress report comprehensively reviews and systemizes the recent progress in artificial synaptic and spiking neuron devices for neuromorphic computing based on fluorite-structured ferroelectrics.

关 键 词：FERROELECTRICS HAFNIA neuromorphic computing semiconductor devices 

分 类 号：TP333[自动化与计算机技术—计算机系统结构]