Results 51 to 60 of about 35,463 (245)

Spintronic Artificial Synapses Using Voltage‐Controlled Multilevel Magnetic States

Advanced Electronic Materials
Neuromorphic computing offers energy‐efficient computations for large‐scale data processing compared to conventional von Neumann computing. The artificial synapse, a key element for learning and memory operations in neuromorphic computing, requires multi‐
Jimin Jeong, Yunho Jang, Min‐Gu Kang, Seungeon Hwang, Jongsun Park, Byong‐Guk Park   +5 more
doaj   +1 more source

Mitochondria‐Targeted Nanotherapies in Aging Neurodegenerative Disorders: Emerging Prospects and Clinical Potential

Advanced Healthcare Materials, EarlyView.
Mitochondria‐targeted nanotherapies emerge as a promising strategy for combating aging‐associated neurodegenerative disorders (NDs) by restoring mitochondrial function, reducing oxidative stress, and improving neuronal survival. Recent advances in nanotechnology, therapeutic delivery, and translational research are highlighted, providing insights into ...
Dnyandev G. Gadhave, Ashish B. Jadhav, Nitin B. Waghamode, Shubham Khot, Rajiya Khan, Ravi Hole, Shankar M. Dhobale, Manoj Aswar, Keshav Raj Paudel   +8 more
wiley   +1 more source

Self-Powered Photonic Synapses with Rapid Optical Erasing Ability for Neuromorphic Visual Perception

Research
Photonic synapses combining photosensitivity and synaptic function can efficiently perceive and memorize visual information, making them crucial for the development of artificial vision systems.
Mingchao Li, Chen Li, Kang Ye, Yunzhe Xu, Weichen Song, Cihui Liu, Fangjian Xing, Guiyuan Cao, Shibiao Wei, Zhihui Chen, Yunsong Di, Zhixing Gan   +11 more
doaj   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

High sensitivity and wide response range artificial synapse based on polyimide with embedded graphene quantum dots

Scientific Reports, 2023
Artificial electronic synapses are commonly used to simulate biological synapses to realize various learning functions, regarded as one of the key technologies in the next generation of neurological computation.
Lijie Kou, Nan Ye, Anjam Waheed, Rahmat Zaki Auliya, Chaoxing Wu, Poh Choon Ooi, Fushan Li   +6 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 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

Linear Weight Update Synaptic Responses in Ferrimagnetic Neuromorphic Devices

Advanced Electronic Materials
Ferrimagnetic materials with antiparallel exchange coupling, exhibit spin‐orbit‐torque‐induced dynamics, offering an emerging platform for realizing neuromorphic devices, such as artificial synapses.
Junwei Zeng, Binxuan Zhao, Yakun Liu, Teng Xu, Wanjun Jiang, Liang Fang, Jiahao Liu   +6 more
doaj   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source

Organic phototransistors and their applications as artificial synapses

Sensors and Actuators A: Physical
Sensors and Internet of Things (IoT) have been revolutionizing our world by establishing a smart and more sustainable environment. Low-temperature processing and chemical functionality of organic semiconductors, high-k of natural dielectric materials, and mechanically flexible substrates make organic field-effect transistor (OFET)-based sensors an ...
Tavasli, Aybuke, Atila, Doruk Tan, Faraji, Sheida, Majewski, Leszek A., Trabzon, Levent   +4 more
openaire   +3 more sources