Results 171 to 180 of about 15,745,352 (243)

Engineering ScAlN Polar Properties for Advanced Electronic and Synaptic Applications. [PDF]

Small Methods
Zhang J, Dai Y, Zhou L, Lu Q, Dang K, Zhang Y, Zhang J, Hao Y.   +7 more
europepmc   +1 more source

Origin, verification, and device‐level impacts of p‐doping in two‐dimensional transition metal dichalcogenides

InfoMat, EarlyView.
This review provides a comprehensive perspective on p‐doping in two‐dimensional transition metal dichalcogenides, linking the origins of carrier polarity, doping mechanisms, verification methodologies, and device‐level impacts. By establishing correlations among atomic‐scale doping, carrier modulation, and device functionality, it offers practical ...
Seo Yeon Han, Hye In Choi, Ji Yeon Kim, Wenhu Shen, Yong Soo Cho   +4 more
wiley   +1 more source

Self-Powered Neuromorphic Systems Based on Tribotronics Synaptic Devices. [PDF]

Small
Shrestha K, Akbari MK, Anbari AP, Pandey P, Zhuiykov S.   +4 more
europepmc   +1 more source

Bi4Ti2.85Zr0.15O12/Nb: SrTiO3‐Based Artificial Optic Neuron for Synaptic Plasticity Simulation and Light‐Controlled Neuromorphic Computing

Materials Genome Engineering Advances, EarlyView.
An optoelectronic synapse based on Zr‐doped Bi4Ti3O12 exhibits learning/forgetting mimicry and achieves 94.2% accuracy on MNIST, demonstrating a novel pathway for high‐performance neuromorphic computing. ABSTRACT This study enhanced the optoelectronic properties of BIT (Bi4Ti3O12) through Zr doping at the B site, constructing an Au/Bi4Ti2.85Zr0.15O12 ...
Dongping Yang, Zhilong Chen, Zhenhua Tang, Qijun Sun, Yanping Jiang, Xingui Tang   +5 more
wiley   +1 more source

Electrospun conducting polymers: recent trends and the transition towards a sustainable future

Polymer International, EarlyView.
This review discusses the electrospinning of conducting polymers, detailing procedures, fibrous morphologies, improved properties, applications in electronics, and challenges, while outlining future directions for nanofibre‐based devices in various fields.
Xenofon Karagiorgis, Sofia Sandhu, Peter J. Skabara, Ravinder Dahiya   +3 more
wiley   +1 more source

Brain‐Inspired Neuromorphic Device for Artificial Intelligent Robots Applications

SmartBot, EarlyView.
Brain‐inspired neuromorphic devices mimic biological systems to provide an efficient hardware foundation for embodied intelligent robotics. This review explores the material systems and corresponding computing architectures of neuromorphic devices that support low‐power perception, adaptive learning, and real‐time decision‐making.
Jiachen Han, Zheng Wang, Tianyu Wang, Jialin Meng   +3 more
wiley   +1 more source

Organic semiconductor materials for neuromorphic and bioelectronic systems design rules and applications. [PDF]

iScience
Long LP, Kien Hao VT, Nu NT.
europepmc   +1 more source

MXene‐Based Flexible Memory and Neuromorphic Devices

Small, EarlyView.
The unique two‐dimensional structure, excellent electrical conductivity, and diverse surface groups of MXenes have garnered significant attention. Coupled with their exceptional flexibility, MXene‐based devices hold immense potential for flexible memory and neuromorphic systems. This review comprehensively discusses the fundamentals of flexible devices,
Yan Li, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Yan Yan, Shuangmei Xue, Kui Zhou, Meng Zhang, Yutong Zhang, Qi‐Jun Sun, Yi Liu, Vellaisamy A. L. Roy, Ye Zhou, Su‐Ting Han   +13 more
wiley   +1 more source

Light polarization-based electro-optic memory. [PDF]

Nat Commun
Wan Q, Zhao S, Tang B, Yu ZG, Fang Z, Leong JF, Xu Z, Zhang YW, Zamburg E, Thean AV.   +9 more
europepmc   +1 more source

Memristors Based on Ferroelectric Cu‐Deficient Copper Indium Thiophosphate for Multilevel Storage and Neuromorphic Computing

Small, EarlyView.
Different from CIPS with threshold switching behaviors, Cu‐deficient CIPS* shows stable non‐volatile digital and analog RS. Owing to the formation of metallic IPS at the LRS, CIPS* memristors demonstrate high ON/OFF ratio and endurance stability, which can be utilized to implement multilevel storage.
Mengdie Li, Yanyan He, Chengyang Wang, Weng Fu Io, Feng Guo, Wenjing Jie, Jianhua Hao   +6 more
wiley   +1 more source