Results 101 to 110 of about 137,362 (191)

Novel Optical Functionalities in Memristors

Advanced Electronic Materials, EarlyView.
We present a tunnel junction memristor with expanded optical functionalities enabled by the integration of an ultra‐thin CdS barrier and a top ITO electrode. UV illumination triggers a photovoltaic response that can sense the memristor state. At very low temperatures, the UV light generates a high injection of photocarriers and produces a volatile ...
Isabel Tenreiro, Víctor Rouco, Mariona Cabero, Henry Navarro, Javier del Valle, Iván K. Schuller, Alberto Rivera‐Calzada   +6 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Optimizing the performance of two-dimensional material inverters

JPhys Materials
Transition metal dichalcogenides have garnered significant attention due to their potential in constructing in-memory logic devices and realizing non-von Neumann computing architectures. Leveraging the core advantages of two-dimensional materials—such as
Tianci Huang, Jie Zhong, Zhihan Jin, Hao Liu, Chuanqi Tang, Feifan Xu, Chee Leong Tan, Yuxuan Wang, Shancheng Yan   +8 more
doaj   +1 more source

Perovskite Photodetectors at the Intelligence Frontier: From Tunable Materials to Adaptive Optoelectronic Systems

Carbon Energy, EarlyView.
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li, Wei Qu, Deepak Kumar, Naini Jain, Nur Wardina Syahirah binti Mohamad Fadil, Nur Najiha binti Ahmad Rasid, Emannuel Kymakis, Maria Vasilopoulou, Chunxiong Bao, Feng Gao, Peng Gao, Sanjeev Kumar Sharma, Mohammad Khaja Nazeeruddin, Abd. Rashid bin Mohd Yusoff, Haotong Wei   +14 more
wiley   +1 more source

Solar-blind optoelectronic synapses enabled by amorphous Ga2O3/SiC heterostructure

Solar-blind optoelectronic synapses are attractive for front-end neuromorphic processing under deep-ultraviolet illumination, yet Ga2O3-based two-terminal systems remain largely confined to electrically driven memristive switching. Here, we demonstrate a
Xiongxin Gu, Jun Xu, Xiaodong Pi, Mengting Dong, Zhongwei Yu, Deren Yang, Junnan Han, Wenbo Ji, Jiaxin Wang, Dongke Li   +9 more
core   +1 more source

Machine Learning Inspired Optoelectronic Devices

, 2020
Machine learning (ML) has been flourishing in various fields, including image recognition, natural language processing, and even protein structure analysis. In recent years, it is getting attention in the optoelectronics field.
Li, Jinxin
core  

Low‐Dimensional Materials and Van Der Waals Heterostructures for Energy Application: A Comprehensive Review

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Low‐dimensional materials (0D, 1D, and 2D) exhibit unique electronic and physicochemical properties, enabling advanced nanoelectronic and optoelectronic devices. Mixed‐dimensional heterostructures combine these materials to enhance functionality.
Qaisar Alam, Sajjad Ali, Pir Muhammad Ismail, ABM Sharif Hossain   +3 more
wiley   +1 more source

2D MXene‐Enabled Unidirectional Flexible Optoelectronic Memristor Toward Energy‐Efficient Neuromorphic Photosensing

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A transparent and flexible ITO/ZnO/TiO2/MXene optoelectronic memristor is developed via low‐temperature solution processing, exhibiting intrinsic self‐rectification and analog synaptic plasticity. The device enables wavelength‐selective photosynaptic response and multimodal learning behaviors, demonstrating strong potential for neuromorphic ...
Shoaib Anwer, Muhammad Umair Khan, Nada AbuHamra, Waqas Waheed, Mahmoud Al‐Qutayri, Baker Mohammad   +5 more
wiley   +1 more source

Organic photonic synaptic transistors for bionic vision: From spectral engineering to flexible intelligent perception

FlexMat, EarlyView.
Different wavelength photonic synapses are used for biomimetic visual applications. Abstract Bionic intelligent visual perception systems have significant application prospects in fields such as autonomous driving and robotics, medical imaging and auxiliary diagnosis, security and monitoring.
Longlong Jiang, Shan Wu, Silu Feng, Heyi Huang, Wangyu Wu, Hong Han, Yao Ni   +6 more
wiley   +1 more source

Retinoic Acid-Poly(lactic) Acid Composite for Biocompatible Optoelectronic Synapses with Flexible Curvature Detection and Biomimetic Imprinting Capabilities

Emerging biocompatible artificial synapses show promise for bioelectronics but face challenges in high voltage requirements and functionality due to limited research on bioderived materials. This study introduces a pioneering biocompatible optoelectronic
Mingge Wang (16859159), Mingqiang Wang (3571334), Lei Li (29537), Zewen Wang (11113699), Yufeng Jin (9183151), Dar-Jen Hsieh (17899895), Kuan-Chang Chang (1813207), Zehui Peng (18004934), Yanxin Liu (102838), Xibei Feng (18387795), Jie Wang (16762), Xinqing Duan (14572077), Shidong Wang (812187)   +12 more
core   +1 more source