Zobrazeno 1 - 10
of 239
pro vyhledávání: '"Jianshi, Tang"'
Autor:
Yahong Chai, Yuhan Liang, Cancheng Xiao, Yue Wang, Bo Li, Dingsong Jiang, Pratap Pal, Yongjian Tang, Hetian Chen, Yuejie Zhang, Hao Bai, Teng Xu, Wanjun Jiang, Witold Skowroński, Qinghua Zhang, Lin Gu, Jing Ma, Pu Yu, Jianshi Tang, Yuan-Hua Lin, Di Yi, Daniel C. Ralph, Chang-Beom Eom, Huaqiang Wu, Tianxiang Nan
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Magnons, bosonic quasiparticles carrying angular momentum, can flow through insulators for information transmission with minimal power dissipation. However, it remains challenging to develop a magnon-based logic due to the lack of efficient
Externí odkaz:
https://doaj.org/article/45a1f6dbac21417da9eaaf0082182701
Autor:
Yang Yang, Le Zhao, Di Yi, Teng Xu, Yahong Chai, Chenye Zhang, Dingsong Jiang, Yahui Ji, Dazhi Hou, Wanjun Jiang, Jianshi Tang, Pu Yu, Huaqiang Wu, Tianxiang Nan
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-7 (2024)
Abstract Magnetic skyrmions have great potential for developing novel spintronic devices. The electrical manipulation of skyrmions has mainly relied on current-induced spin-orbit torques. Recently, it was suggested that the skyrmions could be more ef
Externí odkaz:
https://doaj.org/article/bbda58c7c53446c583f1c371bfc81841
Autor:
Yijun Li, Jianshi Tang, Bin Gao, Jian Yao, Anjunyi Fan, Bonan Yan, Yuchao Yang, Yue Xi, Yuankun Li, Jiaming Li, Wen Sun, Yiwei Du, Zhengwu Liu, Qingtian Zhang, Song Qiu, Qingwen Li, He Qian, Huaqiang Wu
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract In this work, we report the monolithic three-dimensional integration (M3D) of hybrid memory architecture based on resistive random-access memory (RRAM), named M3D-LIME. The chip featured three key functional layers: the first was Si compleme
Externí odkaz:
https://doaj.org/article/ca424592f77443f99d0d1f1f2009f9fc
Autor:
Han Xu, Dashan Shang, Qing Luo, Junjie An, Yue Li, Shuyu Wu, Zhihong Yao, Woyu Zhang, Xiaoxin Xu, Chunmeng Dou, Hao Jiang, Liyang Pan, Xumeng Zhang, Ming Wang, Zhongrui Wang, Jianshi Tang, Qi Liu, Ming Liu
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Neuromorphic computing aims to emulate the computing processes of the brain by replicating the functions of biological neural networks using electronic counterparts. One promising approach is dendritic computing, which takes inspiration from
Externí odkaz:
https://doaj.org/article/3bc2672834124cd9b530a50d940c4c38
Autor:
Fan Zhang, Yang Zhang, Linglong Li, Xing Mou, Huining Peng, Shengchun Shen, Meng Wang, Kunhong Xiao, Shuai-Hua Ji, Di Yi, Tianxiang Nan, Jianshi Tang, Pu Yu
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-8 (2023)
Abstract Multistate resistive switching device emerges as a promising electronic unit for energy-efficient neuromorphic computing. Electric-field induced topotactic phase transition with ionic evolution represents an important pathway for this purpos
Externí odkaz:
https://doaj.org/article/876a008f1cef484ab3e8e0d7e7f4ec88
Autor:
Han Zhao, Zhengwu Liu, Jianshi Tang, Bin Gao, Qi Qin, Jiaming Li, Ying Zhou, Peng Yao, Yue Xi, Yudeng Lin, He Qian, Huaqiang Wu
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Medical imaging is an important tool for accurate medical diagnosis, while state-of-the-art image reconstruction algorithms raise critical challenges in massive data processing for high-speed and high-quality imaging. Here, we present a memr
Externí odkaz:
https://doaj.org/article/f60b54853cf34c23b0573ba8d7917bdc
Autor:
Zhaohao Zhang, Guohui Zhan, Weizhuo Gan, Yan Cheng, Xumeng Zhang, Yue Peng, Jianshi Tang, Fan Zhang, Jiali Huo, Gaobo Xu, Qingzhu Zhang, Zhenhua Wu, Yan Liu, Hangbing Lv, Qi Liu, Genquan Han, Huaxiang Yin, Jun Luo, Wenwu Wang
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 11, Pp n/a-n/a (2023)
Artificial synapses are key elements in building bioinspired, neuromorphic computing systems. Ferroelectric field‐effect transistors (FeFETs) with excellent controllability and complementary metal oxide semiconductor (CMOS) compatibility are favora
Externí odkaz:
https://doaj.org/article/49aba2ff74004ff7a5634dd3fc913dcf
Autor:
Yuyi Liu, Bin Gao, Peng Yao, Qi Liu, Qingtian Zhang, Dong Wu, Jianshi Tang, He Qian, Huaqiang Wu
Publikováno v:
Frontiers in Electronics, Vol 4 (2023)
Analog resistive random-access memory (RRAM)-based computation-in-memory (CIM) technology is promising for constructing artificial intelligence (AI) with high energy efficiency and excellent scalability. However, the large overhead of analog-to-digit
Externí odkaz:
https://doaj.org/article/b8e08c35656a4df083fbc440a9c51cb4
Autor:
Bin Gao, Ying Zhou, Qingtian Zhang, Shuanglin Zhang, Peng Yao, Yue Xi, Qi Liu, Meiran Zhao, Wenqiang Zhang, Zhengwu Liu, Xinyi Li, Jianshi Tang, He Qian, Huaqiang Wu
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
Sound localization is one of the many learning tasks accomplished by the brain based on the binaural signals of the ears. Here, Wu et al demonstrate in-situ learning of sound localization function using a memristor array, with dramatic improvements i
Externí odkaz:
https://doaj.org/article/8895acd1023c47a093d7be53d9bb2bcc
Autor:
Xiangpeng Liang, Yanan Zhong, Jianshi Tang, Zhengwu Liu, Peng Yao, Keyang Sun, Qingtian Zhang, Bin Gao, Hadi Heidari, He Qian, Huaqiang Wu
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Reservoir computing has demonstrated high-level performance, however efficient hardware implementations demand an architecture with minimum system complexity. The authors propose a rotating neuron-based architecture for physically implementing all-an
Externí odkaz:
https://doaj.org/article/eef04c5f9c3046248bba3236536c4693