Results 111 to 120 of about 1,874,578 (291)

Covalent Organic Frameworks for Photocatalytic CO2 Reduction: Metal Integration Principles, Strategies and Functions

Advanced Functional Materials, EarlyView.
Covalent organic frameworks (COFs) with metals have been recognized as versatile platforms for photocatalytic CO2 reduction (CO2PRR). Herein, an overview of metal integration strategies for COFs is systematically summarized. Regulatory mechanisms and structure–activity relationships between metal integration and COF‐based CO2PRR are emphasized.
Jie He, Minxian Zhang, Jinqiang Zhang, Hongqi Sun, Shaobin Wang, Xiaoguang Duan   +5 more
wiley   +1 more source

Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods

Journal of Big Data
This paper proposes an intelligent hybrid model that leverages machine learning and artificial intelligence to enhance the security of Wireless Sensor Networks (WSNs) by identifying and preventing cyberattacks.
Mohamed H. Behiry, Mohammed Aly
doaj   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Enhancing anomaly detection in IoT-driven factories using Logistic Boosting, Random Forest, and SVM: A comparative machine learning approach

Scientific Reports
Three machine learning algorithms—Logistic Boosting, Random Forest, and Support Vector Machines (SVM)—were evaluated for anomaly detection in IoT-driven industrial environments.
Mohammed Aly, Mohamed H. Behiry
doaj   +1 more source

Causal Inference Meets Deep Learning: A Comprehensive Survey

Research
Deep learning relies on learning from extensive data to generate prediction results. This approach may inadvertently capture spurious correlations within the data, leading to models that lack interpretability and robustness.
Licheng Jiao, Yuhan Wang, Xu Liu, Lingling Li, Fang Liu, Wenping Ma, Yuwei Guo, Puhua Chen, Shuyuan Yang, Biao Hou   +9 more
doaj   +1 more source

Regiorandom Polythiophenes for Fully Stretchable Electrochemical Transistors and Logic Circuits

Advanced Functional Materials, EarlyView.
Regiorandom (RRa) polythiophenes, once regarded as unsuitable for electronics, exhibit exceptional switching performance via volumetric electrochemical doping. Optimized RRa‐based organic electrochemical transistors (OECTs) achieve a high on/off ratio (≈104), stable operation under 200% strain, and enable fully stretchable logic gates, demonstrating ...
Dong Hyun Park, Min Su Kim, Kyu Yeon Kim, Jae Hyun Han, Moon Sung Kang, Kyung Gook Cho, Keun Hyung Lee   +6 more
wiley   +1 more source

Predictable artificial intelligence

Artificial Intelligence
Paper Under ...
Lexin Zhou, Pablo A.M. Casares, Fernando Martínez-Plumed, John Burden, Ryan Burnell, Lucy Cheke, Cèsar Ferri, Alexandru Marcoci, Behzad Mehrbakhsh, Yael Moros-Daval, Seán Ó hÉigeartaigh, Danaja Rutar, Wout Schellaert, Konstantinos Voudouris, José Hernández-Orallo   +14 more
openaire   +3 more sources

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

Advanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source

Temperature‐Modulated Threshold Response in a Volatile Memristor: Toward a Biomimetic Polymodal Nociceptive System

Advanced Functional Materials, EarlyView.
This study demonstrates an artificial polymodal nociceptor whose firing threshold is actively modulated by temperature. A volatile TiN/TiOx/ZnO/TiOx/ITO memristor shows interfacial ion–driven resistive switching and membrane‐potential‐like dynamics, enabling temperature‐dependent nociceptive behavior.
Chanmin Hwang, Yuseong Jang, Myoungsu Chae, Hee‐Dong Kim   +3 more
wiley   +1 more source

Actuating and Sensing Composites of Liquid Crystal Elastomers and Poly(ionic liquid)s

Advanced Functional Materials, EarlyView.
Ionic conductive, mechanically tough, flexible, and stretchable filaments of a composite material comprising a liquid crystal elastomer and a poly(ionic liquid) are produced through 3D printing, which exhibit large actuation strain under stimulation and electrical resistance variation in response to deformation or environmental condition changes. Their
Zeping Liu, Xiaofeng Zheng, Shaoxia Zhang, Long Xu, Meng Liu, Jeremy Baribeault St‐Germain, Yue Zhao   +6 more
wiley   +1 more source