Jie Gong, Yichen Wei, Yifei Wang, Zhenyu Feng, Jinran Yu, Liuqi Cheng, Mingxia Chen, Linlin Li, Zhong Lin Wang, Qijun Sun
{"title":"通过机械光子可塑非对称铁电异质结构实现脑启发式多模态突触记忆","authors":"Jie Gong, Yichen Wei, Yifei Wang, Zhenyu Feng, Jinran Yu, Liuqi Cheng, Mingxia Chen, Linlin Li, Zhong Lin Wang, Qijun Sun","doi":"10.1002/adfm.202408435","DOIUrl":null,"url":null,"abstract":"Neuromorphic devices capable of emulating biological synaptic behaviors are crucial for implementing brain-like information processing and computing. Emerging 2D ferroelectric neuromorphic devices provide an effective means of updating synaptic weight aside from conventional electrical/optical modulations. Here, by further synergizing with an energy-efficient synaptic plasticity strategy, a multimodal mechano-photonic synaptic memory device based on 2D asymmetric ferroelectric heterostructure is presented, which can be modulated by external mechanical behavior and light illumination. By integrating the asymmetric ferroelectric heterostructured field-effect transistor and a triboelectric nanogenerator, the mechanical displacement-derived triboelectric potential is ready for gating, programming, and plasticizing the synaptic device, resulting in superior electrical properties of high on/off ratios (> 10<sup>7</sup>), large storage windows (equivalent to ≈95 V), excellent charge retention capability (> 10<sup>4</sup> s), good endurance (> 10<sup>3</sup> cycles), and primary synaptic behaviors. Besides, optical illumination can effectively synergize with mechanoplasticity to implement multimodal spatiotemporally correlated dynamic logic. The demonstrated multimodal memory synapse provides a facile and promising strategy for multifunctional sensory memory, interactive neuromorphic devices, and future brain-like electronics embodying artificial intelligence.","PeriodicalId":112,"journal":{"name":"Advanced Functional Materials","volume":null,"pages":null},"PeriodicalIF":18.5000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Brain-inspired Multimodal Synaptic Memory via Mechano-photonic Plasticized Asymmetric Ferroelectric Heterostructure\",\"authors\":\"Jie Gong, Yichen Wei, Yifei Wang, Zhenyu Feng, Jinran Yu, Liuqi Cheng, Mingxia Chen, Linlin Li, Zhong Lin Wang, Qijun Sun\",\"doi\":\"10.1002/adfm.202408435\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Neuromorphic devices capable of emulating biological synaptic behaviors are crucial for implementing brain-like information processing and computing. Emerging 2D ferroelectric neuromorphic devices provide an effective means of updating synaptic weight aside from conventional electrical/optical modulations. Here, by further synergizing with an energy-efficient synaptic plasticity strategy, a multimodal mechano-photonic synaptic memory device based on 2D asymmetric ferroelectric heterostructure is presented, which can be modulated by external mechanical behavior and light illumination. By integrating the asymmetric ferroelectric heterostructured field-effect transistor and a triboelectric nanogenerator, the mechanical displacement-derived triboelectric potential is ready for gating, programming, and plasticizing the synaptic device, resulting in superior electrical properties of high on/off ratios (> 10<sup>7</sup>), large storage windows (equivalent to ≈95 V), excellent charge retention capability (> 10<sup>4</sup> s), good endurance (> 10<sup>3</sup> cycles), and primary synaptic behaviors. Besides, optical illumination can effectively synergize with mechanoplasticity to implement multimodal spatiotemporally correlated dynamic logic. The demonstrated multimodal memory synapse provides a facile and promising strategy for multifunctional sensory memory, interactive neuromorphic devices, and future brain-like electronics embodying artificial intelligence.\",\"PeriodicalId\":112,\"journal\":{\"name\":\"Advanced Functional Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":18.5000,\"publicationDate\":\"2024-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Functional Materials\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1002/adfm.202408435\",\"RegionNum\":1,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Functional Materials","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/adfm.202408435","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Brain-inspired Multimodal Synaptic Memory via Mechano-photonic Plasticized Asymmetric Ferroelectric Heterostructure
Neuromorphic devices capable of emulating biological synaptic behaviors are crucial for implementing brain-like information processing and computing. Emerging 2D ferroelectric neuromorphic devices provide an effective means of updating synaptic weight aside from conventional electrical/optical modulations. Here, by further synergizing with an energy-efficient synaptic plasticity strategy, a multimodal mechano-photonic synaptic memory device based on 2D asymmetric ferroelectric heterostructure is presented, which can be modulated by external mechanical behavior and light illumination. By integrating the asymmetric ferroelectric heterostructured field-effect transistor and a triboelectric nanogenerator, the mechanical displacement-derived triboelectric potential is ready for gating, programming, and plasticizing the synaptic device, resulting in superior electrical properties of high on/off ratios (> 107), large storage windows (equivalent to ≈95 V), excellent charge retention capability (> 104 s), good endurance (> 103 cycles), and primary synaptic behaviors. Besides, optical illumination can effectively synergize with mechanoplasticity to implement multimodal spatiotemporally correlated dynamic logic. The demonstrated multimodal memory synapse provides a facile and promising strategy for multifunctional sensory memory, interactive neuromorphic devices, and future brain-like electronics embodying artificial intelligence.
期刊介绍:
Firmly established as a top-tier materials science journal, Advanced Functional Materials reports breakthrough research in all aspects of materials science, including nanotechnology, chemistry, physics, and biology every week.
Advanced Functional Materials is known for its rapid and fair peer review, quality content, and high impact, making it the first choice of the international materials science community.