Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Miao, Hu"'
Autor:
Leqing Deng, Jiale Qu, Xiaogang Niu, Juzhe Liu, Juan Zhang, Youran Hong, Meiying Feng, Jiangwei Wang, Miao Hu, Liang Zeng, Qianfan Zhang, Lin Guo, Yujie Zhu
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Potassium-ion battery is a promising candidate for post-Li-ion energy storage but the lack of cathode materials hinders practical exploitation. Here the authors investigate defect-free potassium manganese hexacyanoferrate as cathode active material f
Externí odkaz:
https://doaj.org/article/89721c25422641b595b90be74f83054d
Autor:
Zhongrui Wang, Mingyi Rao, Jin-Woo Han, Jiaming Zhang, Peng Lin, Yunning Li, Can Li, Wenhao Song, Shiva Asapu, Rivu Midya, Ye Zhuo, Hao Jiang, Jung Ho Yoon, Navnidhi Kumar Upadhyay, Saumil Joshi, Miao Hu, John Paul Strachan, Mark Barnell, Qing Wu, Huaqiang Wu, Qinru Qiu, R. Stanley Williams, Qiangfei Xia, J. Joshua Yang
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
Though memristors can potentially emulate neuron and synapse functionality, useful signal energy is lost to Joule heating. Here, the authors demonstrate neuro-transistors with a pseudo-memcapacitive gate that actively process signals via energy-effic
Externí odkaz:
https://doaj.org/article/0173b1671a3b4225a416d0a59bcbef60
Autor:
Can Li, Daniel Belkin, Yunning Li, Peng Yan, Miao Hu, Ning Ge, Hao Jiang, Eric Montgomery, Peng Lin, Zhongrui Wang, Wenhao Song, John Paul Strachan, Mark Barnell, Qing Wu, R. Stanley Williams, J. Joshua Yang, Qiangfei Xia
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-8 (2018)
Memristor-based neural networks hold promise for neuromorphic computing, yet large-scale experimental execution remains difficult. Here, Xia et al. create a multi-layer memristor neural network with in-situ machine learning and achieve competitive im
Externí odkaz:
https://doaj.org/article/b4e8c66198ed41eea8aa429291ec599c
Autor:
Jiangwei Wang, Jiale Qu, Lin Guo, Miao Hu, Yujie Zhu, Juan Zhang, Qianfan Zhang, Juzhe Liu, Meiying Feng, Liang Zeng, Youran Hong, Leqing Deng, Xiaogang Niu
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Nature Communications
Nature Communications
Potassium-ion batteries (KIBs) are promising electrochemical energy storage systems because of their low cost and high energy density. However, practical exploitation of KIBs is hampered by the lack of high-performance cathode materials. Here we repo
Autor:
Jiaming Zhang, Mingyi Rao, John Paul Strachan, Qing Wu, Jin-Woo Han, Hao Jiang, Qinru Qiu, Jung Ho Yoon, Wenhao Song, Mark Barnell, Miao Hu, Can Li, Saumil Joshi, Qiangfei Xia, Huaqiang Wu, Rivu Midya, Navnidhi K. Upadhyay, Peng Lin, Zhongrui Wang, Ye Zhuo, R. Stanley Williams, Jianhua Yang, Yunning Li, Shiva Asapu
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
Nature Communications
Nature Communications
Experimental demonstration of resistive neural networks has been the recent focus of hardware implementation of neuromorphic computing. Capacitive neural networks, which call for novel building blocks, provide an alternative physical embodiment of ne
Autor:
Qiangfei Xia, Peng Lin, Can Li, R. Stanley Williams, John Paul Strachan, Zhongrui Wang, Yunning Li, Ning Ge, Daniel Belkin, Miao Hu, Jianhua Yang, Peng Yan, Qing Wu, Wenhao Song, Mark Barnell, Hao Jiang, Eric Montgomery
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-8 (2018)
Memristors with tunable resistance states are emerging building blocks of artificial neural networks. However, in situ learning on a large-scale multiple-layer memristor network has yet to be demonstrated because of challenges in device property engi
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