Results 121 to 130 of about 2,913 (243)

Gate-Controlled Three-Terminal ZnO Nanoparticle Optoelectronic Synaptic Devices for In-Sensor Neuromorphic Memory Applications

Nanomaterials
This study reports a gate-tunable three-terminal optoelectronic synaptic device based on an Al/ZnO nanoparticles (NPs)/SiO2/Si structure for neuromorphic in-sensor memory applications.
Dabin Jeon, Seung Hun Lee, Sung-Nam Lee
doaj   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

Advanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar, Arunkumar Chandrasekhar, Poongundran Selvaprabhu   +2 more
wiley   +1 more source

Highly Efficient Back-End-of-Line Compatible Flexible Si-Based Optical Memristive Crossbar Array for Edge Neuromorphic Physiological Signal Processing and Bionic Machine Vision

Nano-Micro Letters
Highlights A novel optoelectronic synapse compatible with existing chip technology is demonstrated. This device excels in mimicking memory and learning functions using light, making it ideal for future neuromorphic computing in biomedicine.
Dayanand Kumar, Hanrui Li, Dhananjay D. Kumbhar, Manoj Kumar Rajbhar, Uttam Kumar Das, Abdul Momin Syed, Georgian Melinte, Nazek El-Atab   +7 more
doaj   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Bioprinted Excitable Tissues with Multistimulation Systems for Promoting Function and Maturation

Advanced NanoBiomed Research, EarlyView.
This review provides an overview of stimulation strategies used to enhance the functional maturation of bioprinted excitable tissues. It addresses key limitations in physiological performance of bioprinted excitable tissues, outlines major stimulation modalities—including electrical, mechanical, optical, magnetic, ultrasound, and hybrid—and examines ...
Uijung Yong, Jinseon Park, Jinah Jang
wiley   +1 more source

Advances in Regulating Strategies and Applications of Ferroelectric Materials

Advanced Physics Research, EarlyView.
To meet the demand for precise control of performance in nanoelectronic devices, this paper systematically reviews the latest advances in controlling ferroelectric properties through strategies such as external field modulation, low‐dimensional confinement, interface engineering, and topological structure design.
Jianying Ji, Cong Liu, Dan Luo, Zhou Li
wiley   +1 more source

Programmable superconducting optoelectronic single-photon synapses with integrated multi-state memory

APL Machine Learning
The co-location of memory and processing is a core principle of neuromorphic computing. A local memory device for synaptic weight storage has long been recognized as an enabling element for large-scale, high-performance neuromorphic hardware. In this work, we demonstrate programmable superconducting synapses with integrated memories for use in ...
Bryce A. Primavera, Saeed Khan, Richard P. Mirin, Sae Woo Nam, Jeffrey M. Shainline   +4 more
openaire   +3 more sources

Bioinspired Crossmodal Tactile Sensory Nerve for High‐Accurate Object Recognition

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
An artificial crossmodal sensory neuron system (ACSNS) that combines a complementary memristor with high‐sensitivity pressure–temperature bimodal sensors, which integrate tactile perception, information storage, and neuromorphic computing. With the aid of machine learning, this ACSNS presents an improved accuracy of 96.67% in recognizing temperatures ...
Delu Chen, Yuetong Han, Xiaodong Wang, Wanli Cheng, Jianjie He, Xing Li, Yoshifumi Oshima, Chongxin Shan, Shaobo Cheng   +8 more
wiley   +1 more source

Alcohol‐sensitive MoS2 optoelectronic synapses for mimicking human‐like visual adaptation

InfoMat
The rapid advancements in humanoid robotics and autonomous driving demand smart artificial optoelectronic vision systems that can emulate human‐like perception.
Xiao Liu, Ming Huang, Xiongfeng Zou, Wajid Ali, Sajid Ur Rehman, Juan Li, Ziwei Li, Li Xiang, Anlian Pan   +8 more
doaj   +1 more source