Results 101 to 110 of about 79,718 (282)

Realizing reliable linearity and forming-free property in conductive bridging random access memory synapse by alloy electrode engineering

Applied Physics Express
The linearity of conductance modulation of the artificial synapse severely restricts the recognition accuracy and the convergence rate in the learning of artificial neural networks.
Ao Chen, Puyi Zhang, Yiwei Zheng, Xiaoxu Yuan, Guokun Ma, Yiheng Rao, Houzhao Wan, Nengfan Liu, Qin Chen, Daohong Yang, Hao Wang   +10 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

Photoelectric synapses based on all-two-dimensional ferroelectric semiconductor heterojunction

Materials Research Express
Photoelectric synapses are attracting intensive attention due to its low power consumption and adaptive learning. However, traditional ferroelectric field effect transistors are not conducive to the integrated application in artificial intelligence ...
Xuanyan Zhao
doaj   +1 more source

Transferable and Flexible Artificial Memristive Synapse Based on WOx Schottky Junction on Arbitrary Substrates

Advanced Electronic Materials, 2018
The absence of an effective approach to achieve free‐standing inorganic memristors seriously hinders the development of transferable artificial synapses.
Ya Lin, Tao Zeng, Haiyang Xu, Zhongqiang Wang, Xiaoning Zhao, Weizhen Liu, Jiangang Ma, Yichun Liu   +7 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

Hydrogel‐Based Artificial Synapses for Sustainable Neuromorphic Electronics

Advanced Materials
AbstractHydrogels find widespread applications in biomedicine because of their outstanding biocompatibility, biodegradability, and tunable material properties. Hydrogels can be chemically functionalized or reinforced to respond to physical or chemical stimulation, which opens up new possibilities in the emerging field of intelligent bioelectronics ...
Yan, Jiongyi, Armstrong, James P. K., Scarpa, Fabrizio, Perriman, Adam W.   +3 more
openaire   +3 more sources

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

Advanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi, Mario Palacios‐Corella, Arjan Mol, Salvador Pané, Josep Puigmartí‐Luis   +4 more
wiley   +1 more source

Artificial neural network with dynamic synapse model [PDF]

Известия высших учебных заведений: Прикладная нелинейная динамика
The purpose of this study is to develop and investigate a new short-term memory model based on an artificial neural network without short-term memory effect and a dynamic short-term memory model with astrocytic modulation. Methods. The artificial neural
Zimin, Ilya Anatolevich, Kazantsev, Viktor Borisovich, Stasenko, Sergey Victorovich   +2 more
doaj   +1 more source

Photo‐Rewritable Ambipolar Organic Electrochemical Synapses with Bidirectional Optical Plasticity for Adaptive Vision in Aqueous Environments

Advanced Materials, EarlyView.
Photo‐rewritable ambipolar organic synapses operating in aqueous environments at low voltage (≤0.4 V) demonstrate bidirectional optical plasticity through photon‐modulated electrochemical doping. The bulk heterojunction device enables both excitatory and inhibitory responses with extended retention time (>130 min).
Xiaoqian Su, Xihu Wu, He Wang, Wenzhe Lu, Bing Xue, Jinli Tang, Zhangshanhao Li, Kejing Ren, Qiang He, Junyu Li, Lan Yin, Yuxin Liu, Shiming Zhang, Ting Lei, Changsheng Wu   +14 more
wiley   +1 more source

An Optoelectronic Memristor Based on Proton‐Involved Photoreduction for Bimodal Sensing, Memory, and Processing

Advanced Intelligent Systems
Advanced devices and systems with integrated sensing, memory, and processing functionalities similar to those of the human nervous system are highly desirable for efficient artificial intelligence applications.
Qiaoling Tian, Xinyu Sui, Xiaoning Zhao, Ya Lin, Zhongqiang Wang, Ye Tao, Haiyang Xu, Yichun Liu   +7 more
doaj   +1 more source