Zobrazeno 1 - 10
of 83
pro vyhledávání: '"J. Joshua Yang"'
Autor:
Sanghyeon Choi, Jaeho Shin, Gwanyeong Park, Jung Sun Eo, Jingon Jang, J. Joshua Yang, Gunuk Wang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract A wide reservoir computing system is an advanced architecture composed of multiple reservoir layers in parallel, which enables more complex and diverse internal dynamics for multiple time-series information processing. However, its hardware
Externí odkaz:
https://doaj.org/article/069bec0f54084a09905f12bd9bbe0b45
Autor:
Fernando Aguirre, Abu Sebastian, Manuel Le Gallo, Wenhao Song, Tong Wang, J. Joshua Yang, Wei Lu, Meng-Fan Chang, Daniele Ielmini, Yuchao Yang, Adnan Mehonic, Anthony Kenyon, Marco A. Villena, Juan B. Roldán, Yuting Wu, Hung-Hsi Hsu, Nagarajan Raghavan, Jordi Suñé, Enrique Miranda, Ahmed Eltawil, Gianluca Setti, Kamilya Smagulova, Khaled N. Salama, Olga Krestinskaya, Xiaobing Yan, Kah-Wee Ang, Samarth Jain, Sifan Li, Osamah Alharbi, Sebastian Pazos, Mario Lanza
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-40 (2024)
Abstract Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL) techniques, which rely on networks of connected simple computing units operating in parallel. The low communication bandwidth between memory and proc
Externí odkaz:
https://doaj.org/article/2747dc5462eb47f38960b290c0cdbb9e
Publikováno v:
Nano Convergence, Vol 10, Iss 1, Pp 1-32 (2023)
Abstract Memristors have attracted increasing attention due to their tremendous potential to accelerate data-centric computing systems. The dynamic reconfiguration of memristive devices in response to external electrical stimuli can provide highly de
Externí odkaz:
https://doaj.org/article/477582e18b774078a222be5f719a5f22
Autor:
Ning Lin, Jia Chen, Ruoyu Zhao, Yangu He, Kwunhang Wong, Qinru Qiu, Zhongrui Wang, J. Joshua Yang
Publikováno v:
APL Machine Learning, Vol 2, Iss 1, Pp 010901-010901-18 (2024)
Despite the significant progress made in deep learning on digital computers, their energy consumption and computational speed still fall short of meeting the standards for brain-like computing. To address these limitations, reservoir computing (RC) h
Externí odkaz:
https://doaj.org/article/a8dfa08a09ca44ddbdb222422e63c4ad
Autor:
Sundar Kunwar, Chase Bennett Somodi, Rebecca A. Lalk, Bethany X. Rutherford, Zachary Corey, Pinku Roy, Di Zhang, Markus Hellenbrand, Ming Xiao, Judith L. MacManus‐Driscoll, Quanxi Jia, Haiyan Wang, J. Joshua Yang, Wanyi Nie, Aiping Chen
Publikováno v:
Advanced Electronic Materials, Vol 9, Iss 1, Pp n/a-n/a (2023)
Abstract Interface‐type (IT) resistive switching (RS) memories are promising for next generation memory and computing technologies owing to the filament‐free switching, high on/off ratio, low power consumption, and low spatial variability. Althou
Externí odkaz:
https://doaj.org/article/3d9b2711184d4c49929a092594e68df6
Large remnant polarization and great reliability characteristics in W/HZO/W ferroelectric capacitors
Autor:
Shiva Asapu, James Nicolas Pagaduan, Ye Zhuo, Taehwan Moon, Rivu Midya, Dawei Gao, Jungmin Lee, Qing Wu, Mark Barnell, Sabyasachi Ganguli, Reika Katsumata, Yong Chen, Qiangfei Xia, J. Joshua Yang
Publikováno v:
Frontiers in Materials, Vol 9 (2022)
In this work, the effect of rapid thermal annealing (RTA) temperature on the ferroelectric polarization in zirconium-doped hafnium oxide (HZO) was studied. To maximize remnant polarization (2Pr), in-plane tensile stress was induced by tungsten electr
Externí odkaz:
https://doaj.org/article/4dc0d8530bc94baa9cf811fac6caa0fc
Autor:
Tianda Fu, Xiaomeng Liu, Hongyan Gao, Joy E. Ward, Xiaorong Liu, Bing Yin, Zhongrui Wang, Ye Zhuo, David J. F. Walker, J. Joshua Yang, Jianhan Chen, Derek R. Lovley, Jun Yao
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
Designing energy efficient systems capable to directly process signals at biological voltages remains a challenge. Here, the authors propose a bio-compatible memristor device based on protein-nanowire dielectric, harvested from the bacterium Geobacto
Externí odkaz:
https://doaj.org/article/61053e506f57456488b5c3e8c1ca2038
Autor:
Xumeng Zhang, Ye Zhuo, Qing Luo, Zuheng Wu, Rivu Midya, Zhongrui Wang, Wenhao Song, Rui Wang, Navnidhi K. Upadhyay, Yilin Fang, Fatemeh Kiani, Mingyi Rao, Yang Yang, Qiangfei Xia, Qi Liu, Ming Liu, J. Joshua Yang
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Though artificial sensory systems based on electronic devices have been realized, further transformation of data into spikes is required for neural network optimization. Here, based on NbO x Mott memristors, the authors report artificial spiking affe
Externí odkaz:
https://doaj.org/article/9af183381c6e456c9c444814c66f02b4
Timing Selector: Using Transient Switching Dynamics to Solve the Sneak Path Issue of Crossbar Arrays
Autor:
Mingyi Rao, Wenhao Song, Fatemeh Kiani, Shiva Asapu, Ye Zhuo, Rivu Midya, Navnidhi Upadhyay, Qing Wu, Mark Barnell, Peng Lin, Can Li, Zhongrui Wang, Qiangfei Xia, J. Joshua Yang
Publikováno v:
Small Science, Vol 2, Iss 1, Pp n/a-n/a (2022)
Sneak path current is a fundamental issue and a major roadblock to the wide application of memristor crossbar arrays. Traditional selectors such as transistors compromise the 2D scalability and 3D stack‐ability of the array, while emerging selector
Externí odkaz:
https://doaj.org/article/153c6ddd317840b4947904a2a17516fb
Publikováno v:
Small Science, Vol 2, Iss 1, Pp n/a-n/a (2022)
As semiconductor technology enters the more than Moore era, there exists an apparent contradiction between the rapidly growing demands for data processing and the visible inefficiency rooted in traditional computing architecture. Neuromorphic systems
Externí odkaz:
https://doaj.org/article/e0e8cc25330340cda71577189941eb98