Results 111 to 120 of about 9,687 (293)

Mimicking neural habituation behavior with pristine leaf-based memristors [PDF]

APL Electronic Devices
Neuromorphic computing systems allow electronics to mimic the behavior of biological neurons and hold potential for high-efficiency computation needed for artificial intelligence.
Andrew J. Savage, Samantha S. Wilder, Ramesh Y. Adhikari   +2 more
doaj   +1 more source

Generation of Probabilistic Bits by Exploiting Orthogonal Spin Currents in Magnetic Trilayers

Advanced Science, EarlyView.
Fe/Ti/CoFeB trilayers generate orthogonal spin currents that drive stochastic spin–orbit‐torque switching for probabilistic‐bit operation. The switching probability is continuously controlled by the in‐plane magnetic field and drive current, enabling tunable random bit generation.
Donghyeon Han, Chaehyeon Shin, Seok‐Jong Kim, Yunho Jang, Daekyu Koh, Taehwan Kim, Jaeheon Jung, Geon‐Woo Baek, Minseok Kang, Eunseok Kim, Geun‐Hee Lee, Jeongchun Ryu, Makoto Kohda, Junsaku Nitta, Kab‐Jin Kim, Jongsun Park, Kyung‐Jin Lee, Byong‐Guk Park   +17 more
wiley   +1 more source

Overview of amorphous carbon memristor device, modeling, and applications for neuromorphic computing

Nanotechnology Reviews
Carbon-based materials strongly pertain to citizens’ daily life due to their versatile derivatives such as diamond, graphite, fullerenes, carbon nanotube, single-layer graphene, and amorphous carbon (a-C).
Wu Jie, Yang Xuqi, Chen Jing, Li Shiyu, Zhou Tianchen, Cai Zhikuang, Lian Xiaojuan, Wang Lei   +7 more
doaj   +1 more source

Drop-coated titanium dioxide memristors [PDF]

, 2014
The fabrication of memristors by drop-coating sol-gel Ti(OH)4 solution onto either aluminium foil or sputter-coated aluminium on plastic is presented. The gel layer is thick, 37 μm, but both devices exhibit good memristance I-V profiles.
Gale, Ella, Adamatzky, Andrew, Mayne, Richard, De Lacy Costello, Ben   +3 more
core   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Weighted Echo State Graph Neural Networks Based on Robust and Epitaxial Film Memristors

Advanced Science
Hardware system customized toward the demands of graph neural network learning would promote efficiency and strong temporal processing for graph‐structured data.
Zhenqiang Guo, Guojun Duan, Yinxing Zhang, Yong Sun, Weifeng Zhang, Xiaohan Li, Haowan Shi, Pengfei Li, Zhen Zhao, Jikang Xu, Biao Yang, Yousef Faraj, Xiaobing Yan   +12 more
doaj   +1 more source

Transfer-Free Analog and Digital Flexible Memristors Based on Boron Nitride Films

Nanomaterials
The traditional von Neumann architecture of computers, constrained by the inherent separation of processing and memory units, faces challenges, for instance, memory wall issue.
Sibo Wang, Xiuhuan Liu, Han Yu, Xiaohang Liu, Jihong Zhao, Lixin Hou, Yanjun Gao, Zhanguo Chen   +7 more
doaj   +1 more source

Energy-efficient integrated electro-optic memristors [PDF]

Neuromorphic photonic processors are redefining the boundaries of classical computing by enabling high-speed multidimensional information processing within the memory.
Farmakidis, Nikolaos, Wang, Mengyun, Parmigiani, Francesca, Aggarwal, Samarth, Bhaskaran, Harish, He, Yuhan, Lee, June Sang, Zhang, Yi, Dong, Bowei   +8 more
core   +1 more source

Memory, Memristors, and Atomristors [PDF]

IEEE Micro, 2018
While the odds are that a universal non-volatile memory device is a mirage, there is significant global research on emerging memories such as RRAM regarding their potential as worthy candidates.
openaire   +2 more sources

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source