中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Interface Element Accumulation-Induced Single Ferroelectric Domain for High-Performance Neuromorphic Synapse

文献类型:期刊论文

作者Li, Xiaoqi1,2; Liu, Jiaqi1,2; Xu, Fan3; Ali, Sajjad4; Wu, Han1,2; Huang, Biaohong1; Deng, Haoyue5,6; Li, Yizhuo1; Jiang, Yuxuan1,2; Fan, Zhen5,6
刊名ADVANCED FUNCTIONAL MATERIALS
出版日期2025-02-19
页码12
关键词BaTiO3 ferroelectric synapse neuromorphic computing oxygen vacancy single domain Sr diffusion
ISSN号1616-301X
DOI10.1002/adfm.202423225
通讯作者Hu, Weijin(wjhu@imr.ac.cn)
英文摘要Ferroelectric (FE) synapses are promising for neuromorphic computing toward enhanced artificial intelligence systems. Nonetheless, there is a significant gap in understanding how to effectively tailor self-polarization and its implications on synaptic device performance. Here, an approach using interfacial element accumulation is reported to tailor the self-polarization states of BaTiO3 (BTO)/La0.67Sr0.33MnO3 (LSMO) FE heterostructure into a single domain state. This single domain configuration results are demonstrated in a gradient distribution of oxygen vacancies across the film thickness, yielding an extraordinary on/off ratio of 10(7) in Pt/BTO/LSMO FE diodes. This giant resistive switching enables the long-term potentiation and long-term depression synaptic functions of excellent linearity and symmetry (with a nonsymmetry factor as low as 0.1), leading to a supervised learning ability of the associated artificial neural network with a high pattern recognition accuracy of 95%. This work provides a simple design principle for FE single domain, which is substantial in enhancing the performance of FE synapses for neuromorphic computing.
资助项目National Key R&D Program of China[2022YFA1203903] ; National Natural Science Foundation of China (NSFC)[92477120] ; National Natural Science Foundation of China (NSFC)[61974147] ; National Natural Science Foundation of China (NSFC)[52031014] ; National Natural Science Foundation of China (NSFC)[52122101] ; International Partnership Program of Chinese Academy of Sciences[172GJHZ2024044MI] ; Special Fund for Central Government Guiding the Local Development of Science and Technology[2023JH6/100100063] ; Youth Innovation Promotion Association CAS (Youth Innovation Promotion Association of the Chinese Academy of Sciences)[2021187] ; Youth Innovation Promotion Association CAS (Youth Innovation Promotion Association of the Chinese Academy of Sciences)[Y202048] ; Prince Sultan University
WOS研究方向Chemistry ; Science & Technology - Other Topics ; Materials Science ; Physics
语种英语
WOS记录号WOS:001426358900001
出版者WILEY-V C H VERLAG GMBH
资助机构National Key R&D Program of China ; National Natural Science Foundation of China (NSFC) ; International Partnership Program of Chinese Academy of Sciences ; Special Fund for Central Government Guiding the Local Development of Science and Technology ; Youth Innovation Promotion Association CAS (Youth Innovation Promotion Association of the Chinese Academy of Sciences) ; Prince Sultan University
源URL  
专题金属研究所_中国科学院金属研究所
通讯作者Hu, Weijin
作者单位1.Chinese Acad Sci, Inst Met Res, Shenyang Natl Lab Mat Sci, IMR,CAS, Shenyang 110016, Peoples R China
2.Univ Sci & Technol China, Sch Mat Sci & Engn, Shenyang 110016, Peoples R China
3.China Special Equipment Inspect & Res Inst, Beijing 100029, Peoples R China
4.Prince Sultan Univ, Coll Humanities & Sci, Energy Water & Environm Lab, Riyadh 11586, Saudi Arabia
5.South China Normal Univ, Inst Adv Mat, Guangzhou 510006, Peoples R China
6.South China Normal Univ, South China Acad Adv Optoelect, Guangdong Prov Key Lab Opt Informat Mat & Technol, Guangzhou 510006, Peoples R China
推荐引用方式
GB/T 7714
Li, Xiaoqi,Liu, Jiaqi,Xu, Fan,et al. Interface Element Accumulation-Induced Single Ferroelectric Domain for High-Performance Neuromorphic Synapse[J]. ADVANCED FUNCTIONAL MATERIALS,2025:12.
APA Li, Xiaoqi.,Liu, Jiaqi.,Xu, Fan.,Ali, Sajjad.,Wu, Han.,...&Zhang, Zhidong.(2025).Interface Element Accumulation-Induced Single Ferroelectric Domain for High-Performance Neuromorphic Synapse.ADVANCED FUNCTIONAL MATERIALS,12.
MLA Li, Xiaoqi,et al."Interface Element Accumulation-Induced Single Ferroelectric Domain for High-Performance Neuromorphic Synapse".ADVANCED FUNCTIONAL MATERIALS (2025):12.

入库方式: OAI收割

来源:金属研究所

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