Results 71 to 80 of about 4,441 (253)

WO_x channel engineering of Cu-ion-driven synaptic transistor array for low-power neuromorphic computing. [PDF]

Sci Rep, 2023
Jeon S, Kang H, Kwak H, Noh K, Kim S, Kim N, Kim HW, Hong E, Kim S, Woo J.   +9 more
europepmc   +1 more source

Extremely low-power consumption nano-RTD photodetectors for future neuromorphic computing [PDF]

, 2021
This paper describes the fabrication of\ud nanometre-sized resonant tunnelling diode (RTD)\ud photodetector devices which may be used as excitable\ud neuromorphic spike generators. Submicron diameter\ud devices have been fabricated and exhibit peak\ud currents under 250 A, peak and valley voltages of\ud around 0.6 V and 0.8 V and a peak to valley ...
Al-Taai, Qusay Raghib Al, Al-Khalidi, Abdullah, Wang, Jue, Romeira, Bruno, Figueiredo, José, Wasige, Edward   +5 more
openaire  

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Room‐Temperature Skyrmionic Synapse in 2D Ferromagnet Fe3GaTe2 Operating via Collective Spin Texture Transformation

Advanced Materials, EarlyView.
We demonstrate a neuromorphic synapse in 2D Fe3GaTe2 flakes. The device operates via a current‐driven transformation from a skyrmion‐lattice to a stripe‐domain state, yielding a linear anomalous Hall resistance response with a tunable slope to enable multiply‐accumulate operations. Simulations confirm its viability in artificial neural networks.
Jixiang Huang, Tongji Zhu, PeiYu Cai, Xiaoming Ma, Zhen Wang, Ruifu Zhang, Yi Hao, Jingdi Lu, Liubing He, Jun Xu, Yuejie Zhang, Wanjun Jiang, Jing Tao, Shiming Lei, Pavel Parchinskiy, Jing Teng, Lingfei Wang, Wei Niu, Elton J.G. Santos, Xiaoqian Zhang, Peng Li   +20 more
wiley   +1 more source

Ultra-low Power Domain Wall Device for Spin-based Neuromorphic Computing

, 2020
Neuromorphic computing (NC) is gaining wide acceptance as a potential technology to achieve low-power intelligent devices. To realize NC, researchers investigate various types of synthetic neurons and synaptic devices such as memristors and spintronic domain wall (DW) devices.
Kumar, Durgesh, Jing, Chung Hong, JianPeng, Chan, Jin, Tianli, Ter, Lim Sze, Sbiaa, Rachid, Piramanayagam, S. N.   +6 more
openaire   +2 more sources

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

Advanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son, Soyul Kwak, Heerin Noh, Minsang Kim, Doyeon Noh, Subhayan Chakraborty, Jaewon Lee, YongDeok Cho, Kyeongsoo Kim, Taewoong Eom, Moonyoung Kim, Jangwon Kim, Hoyoung Lee, Soyoung Lee, Jaehun Kim, Grace G. D. Han, Shin‐Tson Wu, Stefano Oscurato, Arri Priimagi, Marina Saphiannikova, Seungwoo Lee   +20 more
wiley   +1 more source

Synaptic Plasticity Engineering for Neural Precision, Temporal Learning, and Scalable Neuromorphic Systems

Nano-Micro Letters
Highlights This review provides an in-depth discussion of computing-unit optimization through synaptic plasticity engineering, enabling precise weight modulation in spatial models and effective temporal information processing in dynamic neural networks ...
Zhengjun Liu, Yuxiao Fang, Qing Liu, Bobo Tian, Chun Zhao   +4 more
doaj   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

A Review of Nanowire Devices Applied in Simulating Neuromorphic Computing

Nanomaterials
With the rapid advancement of artificial intelligence and machine learning technologies, the demand for enhanced device computing capabilities has significantly increased.
Tianci Huang, Yuxuan Wang, Zhihan Jin, Hao Liu, Kaili Wang, Tan Leong Chee, Yi Shi, Shancheng Yan   +7 more
doaj   +1 more source

A ferroelectric-ionic-trapping transistor for low power and secure neuromorphic computing

Nature Communications
Abstract The convergence of artificial intelligence and pervasive data analytics has created an urgent demand for energy-efficient and secure computing hardware. Neuromorphic synaptic devices emulate the human brain with high parallelism and 3D connectivity to reduce power consumption, yet they lack intrinsic mechanisms to protect ...
Changhyeon Han, Youngchan Cho, Dongbin Kim, Se-Hyun Hwang, Minsuk Song, Been Kwak, David Radermacher, Min Wook Kang, Sangwan Kim, Jangsaeng Kim, Wonjun Shin, Daewoong Kwon   +11 more
openaire   +1 more source