Versatile SrFeOx for memristive neurons and synapses

Chen，Kaihui1,2; Fan，Zhen1,2; Rao，Jingjing1; Li，Wenjie1; Wang，Deming3; Li，Changjian4; Zhong，Gaokuo5; Tao，Ruiqiang1; Tian，Guo1; Qin，Minghui1; Zeng，Min1; Lu，Xubing1; Zhou，Guofu2; Gao，Xingsen1; Liu，Jun Ming6

2022

10.1016/j.jmat.2022.03.006

Journal of Materiomics   影响因子和分区

2352-8478

2352-8486

Spiking neural network (SNN) consisting of memristor-based artificial neurons and synapses has emerged as a compact and energy-efficient hardware solution for spatiotemporal information processing. However, it is challenging to develop memristive neurons and synapses based on the same material system because the required resistive switching (RS) characteristics are different. Here, it is shown that SrFeO (SFO), an intriguing material system exhibiting topotactic phase transformation between insulating brownmillerite (BM) SrFeO phase and conductive perovskite (PV) SrFeO phase, can be engineered into both neuronal and synaptic devices. Using a BM-SFO single layer as the RS medium, the Au/BM-SFO/SrRuO (SRO) memristor exhibits nonvolatile RS behavior originating from the formation/rupture of PV-SFO filaments in the BM-SFO matrix. By contrast, using a PV-SFO (matrix)/BM-SFO (interfacial layer) bilayer as the RS medium, the Au/PV-SFO/BM-SFO/SRO memristor exhibits volatile RS behavior originating from the interfacial BM-PV phase transformation. Synaptic and neuronal characteristics are further demonstrated in the Au/BM-SFO/SRO and Au/PV-SFO/BM-SFO/SRO memristors, respectively. Using the SFO-based synapses and neurons, fully memristive SNNs are constructed by simulation, which show good performance on unsupervised image recognition. Our study suggests that SFO is a versatile material platform on which both neuronal and synaptic devices can be developed for constructing fully memristive SNNs.

Artificial neurons Artificial synapses Memristors Spiking neural network SrFeOx

SCI

英语

其他

National Natural Science Foundation of China["92163210","U1932125","52172143"] ; Science and Technology Program of Guangzhou[2019050001] ; Natural Science Foundation of Guangdong Province[2020A1515010996]

Chemistry ; Materials Science ; Physics

Chemistry, Physical ; Materials Science, Multidisciplinary ; Physics, Applied

WOS:000862964400005

ELSEVIER

2-s2.0-85129144549

Scopus

1.Institute for Advanced Materials,South China Academy of Advanced Optoelectronics,South China Normal University,Guangzhou,510006,China
2.Guangdong Provincial Key Laboratory of Optical Information Materials and Technology & National Center for International Research on Green Optoelectronics,South China Academy of Advanced Optoelectronics,South China Normal University,Guangzhou,510006,China
3.School of Physics and Telecommunication Engineering,South China Normal University,Guangzhou,510006,China
4.Department of Materials Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
5.Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,518055,China
6.Laboratory of Solid State Microstructures and Innovation Center of Advanced Microstructures,Nanjing University,Nanjing,210093,China

Chen，Kaihui,Fan，Zhen,Rao，Jingjing,et al. Versatile SrFeOx for memristive neurons and synapses[J]. Journal of Materiomics,2022,8(5).

Chen，Kaihui.,Fan，Zhen.,Rao，Jingjing.,Li，Wenjie.,Wang，Deming.,...&Liu，Jun Ming.(2022).Versatile SrFeOx for memristive neurons and synapses.Journal of Materiomics,8(5).

Chen，Kaihui,et al."Versatile SrFeOx for memristive neurons and synapses".Journal of Materiomics 8.5(2022).