{"title":"基于原始InGaAs纳米线突触晶体管的近红外人工突触。","authors":"Haomiao Xu, Yanbin Yang, Yisen Li, Jun Deng, Guishuang Jiang, Xinghao Zhao, Lifan Shen","doi":"10.1088/1361-6528/ae0594","DOIUrl":null,"url":null,"abstract":"<p><p>The rapid advancements in the field of artificial intelligence have intensified the urgent need for low-power, high-speed artificial synaptic devices. Here, a near-infrared (NIR) artificial synaptic device is successfully realized based on pristine InGaAs nanowires (NWs), which achieves a paired-pulse facilitation of up to 119%. Additionally, a postsynaptic current (PSC) in memory storage behavior has been implemented by applying different voltage pulses along with continuous illumination of 1064 nm NIR light due to the memristor characteristics of the device. 42% enhancement of excitatory PSC is achieved in the InGaAs NW artificial synapse by raising the voltage of pulse stimulation. More importantly, a transition from short-term memory to long-term memory in biological synaptic memory behavior is realized by applying pulse stimulation of varying durations, thereby enabling the realization of complex synaptic behaviors in artificial synapses. This work demonstrates the application potential of pristine InGaAs NWs in sensitive optoelectronic artificial synapses, which offers significant reference values to explore an effective and facile approach for developing synapses based on low-dimensional nanomaterials in artificial intelligence systems and neuromorphic computing technology.</p>","PeriodicalId":19035,"journal":{"name":"Nanotechnology","volume":" ","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Near-infrared artificial synapse based on a pristine InGaAs nanowire synaptic transistor.\",\"authors\":\"Haomiao Xu, Yanbin Yang, Yisen Li, Jun Deng, Guishuang Jiang, Xinghao Zhao, Lifan Shen\",\"doi\":\"10.1088/1361-6528/ae0594\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The rapid advancements in the field of artificial intelligence have intensified the urgent need for low-power, high-speed artificial synaptic devices. Here, a near-infrared (NIR) artificial synaptic device is successfully realized based on pristine InGaAs nanowires (NWs), which achieves a paired-pulse facilitation of up to 119%. Additionally, a postsynaptic current (PSC) in memory storage behavior has been implemented by applying different voltage pulses along with continuous illumination of 1064 nm NIR light due to the memristor characteristics of the device. 42% enhancement of excitatory PSC is achieved in the InGaAs NW artificial synapse by raising the voltage of pulse stimulation. More importantly, a transition from short-term memory to long-term memory in biological synaptic memory behavior is realized by applying pulse stimulation of varying durations, thereby enabling the realization of complex synaptic behaviors in artificial synapses. This work demonstrates the application potential of pristine InGaAs NWs in sensitive optoelectronic artificial synapses, which offers significant reference values to explore an effective and facile approach for developing synapses based on low-dimensional nanomaterials in artificial intelligence systems and neuromorphic computing technology.</p>\",\"PeriodicalId\":19035,\"journal\":{\"name\":\"Nanotechnology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nanotechnology\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1088/1361-6528/ae0594\",\"RegionNum\":4,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nanotechnology","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1088/1361-6528/ae0594","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
Near-infrared artificial synapse based on a pristine InGaAs nanowire synaptic transistor.
The rapid advancements in the field of artificial intelligence have intensified the urgent need for low-power, high-speed artificial synaptic devices. Here, a near-infrared (NIR) artificial synaptic device is successfully realized based on pristine InGaAs nanowires (NWs), which achieves a paired-pulse facilitation of up to 119%. Additionally, a postsynaptic current (PSC) in memory storage behavior has been implemented by applying different voltage pulses along with continuous illumination of 1064 nm NIR light due to the memristor characteristics of the device. 42% enhancement of excitatory PSC is achieved in the InGaAs NW artificial synapse by raising the voltage of pulse stimulation. More importantly, a transition from short-term memory to long-term memory in biological synaptic memory behavior is realized by applying pulse stimulation of varying durations, thereby enabling the realization of complex synaptic behaviors in artificial synapses. This work demonstrates the application potential of pristine InGaAs NWs in sensitive optoelectronic artificial synapses, which offers significant reference values to explore an effective and facile approach for developing synapses based on low-dimensional nanomaterials in artificial intelligence systems and neuromorphic computing technology.
期刊介绍:
The journal aims to publish papers at the forefront of nanoscale science and technology and especially those of an interdisciplinary nature. Here, nanotechnology is taken to include the ability to individually address, control, and modify structures, materials and devices with nanometre precision, and the synthesis of such structures into systems of micro- and macroscopic dimensions such as MEMS based devices. It encompasses the understanding of the fundamental physics, chemistry, biology and technology of nanometre-scale objects and how such objects can be used in the areas of computation, sensors, nanostructured materials and nano-biotechnology.