Wei Wang, Xiangxiang Gao, Zhenhua Lin, Haoyu Bai, Dongsheng Cui, Jie Su, Jincheng Zhang, Yue Hao, Jingjing Chang
{"title":"溶液加工 Ga2O3 薄膜的光突触 Memristor 器件","authors":"Wei Wang, Xiangxiang Gao, Zhenhua Lin, Haoyu Bai, Dongsheng Cui, Jie Su, Jincheng Zhang, Yue Hao, Jingjing Chang","doi":"10.1002/aelm.202400512","DOIUrl":null,"url":null,"abstract":"Hardware integration with biological synaptic function is the key to realizing brain-like computing. Resistive Random Access Memory (RRAM), with a similar structure to biological synapses, are important candidate for the simulation of biological synaptic function. In this work, Ga<sub>2</sub>O<sub>3</sub> film as a functional layer of RRAM is prepared by the solution method, and an RRAM-based photo-synaptic device with an Ag/Ga<sub>2</sub>O<sub>3</sub>/Si structure is constructed subsequently. The device exhibits excellent bipolar resistive switching characteristics, with the merits of a large storage window and long retention time. Furthermore, the devices generated excitatory postsynaptic currents (EPSC) and paired-pulse facilitation (PPF) behaviors under light pulse stimulation, enabling the simulation of synaptic plasticity. The transformation of synaptic behavior from short-term memory (STM) to long-term memory (LTM) is achieved by observing the spike-duration dependent plasticity (SDDP), spike-intensity dependent plasticity (SIDP), spike-number dependent plasticity (SNDP) and spike-rate dependent plasticity (SRDP) characteristics of photonic synapses under different conditions. The device also simulates the process of successive “learning-forgotten-remembering”, revealing that RRAM-based photonic synapses have great potential in the fields of artificial visual perception and memory storage.","PeriodicalId":110,"journal":{"name":"Advanced Electronic Materials","volume":"21 1","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Photo-synaptic Memristor Devices from Solution-processed Ga2O3 Thin Films\",\"authors\":\"Wei Wang, Xiangxiang Gao, Zhenhua Lin, Haoyu Bai, Dongsheng Cui, Jie Su, Jincheng Zhang, Yue Hao, Jingjing Chang\",\"doi\":\"10.1002/aelm.202400512\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hardware integration with biological synaptic function is the key to realizing brain-like computing. Resistive Random Access Memory (RRAM), with a similar structure to biological synapses, are important candidate for the simulation of biological synaptic function. In this work, Ga<sub>2</sub>O<sub>3</sub> film as a functional layer of RRAM is prepared by the solution method, and an RRAM-based photo-synaptic device with an Ag/Ga<sub>2</sub>O<sub>3</sub>/Si structure is constructed subsequently. The device exhibits excellent bipolar resistive switching characteristics, with the merits of a large storage window and long retention time. Furthermore, the devices generated excitatory postsynaptic currents (EPSC) and paired-pulse facilitation (PPF) behaviors under light pulse stimulation, enabling the simulation of synaptic plasticity. The transformation of synaptic behavior from short-term memory (STM) to long-term memory (LTM) is achieved by observing the spike-duration dependent plasticity (SDDP), spike-intensity dependent plasticity (SIDP), spike-number dependent plasticity (SNDP) and spike-rate dependent plasticity (SRDP) characteristics of photonic synapses under different conditions. The device also simulates the process of successive “learning-forgotten-remembering”, revealing that RRAM-based photonic synapses have great potential in the fields of artificial visual perception and memory storage.\",\"PeriodicalId\":110,\"journal\":{\"name\":\"Advanced Electronic Materials\",\"volume\":\"21 1\",\"pages\":\"\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Electronic Materials\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1002/aelm.202400512\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Electronic Materials","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/aelm.202400512","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
Photo-synaptic Memristor Devices from Solution-processed Ga2O3 Thin Films
Hardware integration with biological synaptic function is the key to realizing brain-like computing. Resistive Random Access Memory (RRAM), with a similar structure to biological synapses, are important candidate for the simulation of biological synaptic function. In this work, Ga2O3 film as a functional layer of RRAM is prepared by the solution method, and an RRAM-based photo-synaptic device with an Ag/Ga2O3/Si structure is constructed subsequently. The device exhibits excellent bipolar resistive switching characteristics, with the merits of a large storage window and long retention time. Furthermore, the devices generated excitatory postsynaptic currents (EPSC) and paired-pulse facilitation (PPF) behaviors under light pulse stimulation, enabling the simulation of synaptic plasticity. The transformation of synaptic behavior from short-term memory (STM) to long-term memory (LTM) is achieved by observing the spike-duration dependent plasticity (SDDP), spike-intensity dependent plasticity (SIDP), spike-number dependent plasticity (SNDP) and spike-rate dependent plasticity (SRDP) characteristics of photonic synapses under different conditions. The device also simulates the process of successive “learning-forgotten-remembering”, revealing that RRAM-based photonic synapses have great potential in the fields of artificial visual perception and memory storage.
期刊介绍:
Advanced Electronic Materials is an interdisciplinary forum for peer-reviewed, high-quality, high-impact research in the fields of materials science, physics, and engineering of electronic and magnetic materials. It includes research on physics and physical properties of electronic and magnetic materials, spintronics, electronics, device physics and engineering, micro- and nano-electromechanical systems, and organic electronics, in addition to fundamental research.