Results 81 to 90 of about 275,031 (266)

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

Advanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao, Chongyang Hao, Karol Viviana Mejia‐Centeno, Malik Dilshad Khan, Shang Wang, Longqiu Li, Yanhong Tian, Andreu Cabot, Qing Sun   +8 more
wiley   +1 more source

Leaf‐Inspired Eutectic Skin With Extreme Fatigue Resistance and Robust Wet Adhesion for Amphibious Epidermal Electronics

Advanced Materials, EarlyView.
Inspired by Acorus calamus leaves, a heterogeneous eutectic skin integrates an aligned fibrous network within a hydrophobic eutectogel matrix. This hierarchical architecture triggers strain‐induced crystallization to achieve exceptional mechanical toughness and durable wet adhesion.
Jiayu Hou, Jiancheng Dong, Je Hyeong Kim, Chang Zhou, Shiyin Lin, Xingyu Liu, Hao Qiu, Mengting Zheng, Yuduo Zhang, Haijun Zhu, Kangjia Geng, Yidong Peng, Haoran Liu, Yunpeng Huang, Yongsheng Luo, Steve Park, Tianxi Liu   +16 more
wiley   +1 more source

Radio Frequency Fingerprinting via Deep Learning: Challenges and Opportunities

2024 International Wireless Communications and Mobile Computing (IWCMC)
Radio Frequency Fingerprinting (RFF) techniques promise to authenticate wireless devices at the physical layer based on inherent hardware imperfections introduced during manufacturing. Such RF transmitter imperfections are reflected into over-the-air signals, allowing receivers to accurately identify the RF transmitting source.
Saeif Alhazbi, Ahmed Hussain, Savio Sciancalepore, Gabriele Oligeri, Panos Papadimitratos   +4 more
openaire   +3 more sources

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Positioning and guiding educational robots by using fingerprints of WiFi and RFID array

EURASIP Journal on Wireless Communications and Networking, 2018
Positioning educational robots in the indoor ambiance is an important and basic function for robots to provide intelligent educational services for users, and it is still an open challenge problem.
Wenxing Luo, Xu Deng, Feiqing Zhang, Youmei Wen, Dheyaa Jasim Kadhim   +4 more
doaj   +1 more source

Channel2Channel: Toward Robust Radio Frequency Fingerprint Extraction and Identification [PDF]

In radio frequency fingerprint identification (RFFI) systems, mitigating channel interference remains a critical challenge. This paper introduces a robust RFFI system to tackle this issue effectively.
Peng, L, Xie, L, Fu, H, Gao, A, Shi, J, Zhang, J   +5 more
core   +1 more source

Layered Nanoporous Platforms for SERS Sensing

Advanced Materials Interfaces, EarlyView.
Here, we present a detailed investigation of the SERS performance of layered nanoporous metals. The controlled deposition of well‐defined, stacked porous layers enabled a systematic analysis of the effects of multimetallic systems in SERS experiments. Numerical models are also used to support the experimental findings.
Yanqiu Zou, Anastasiia Sapunova, Tommaso Giovannini, Chen Wang, Huaizhou Jin, Vincenzo Caligiuri, Sergio Marras, Andrea Schirato, Luca Bursi, Alessandro Alabastri, Shukun Weng, Ali Douaki, German Lanzavecchia, Ivan Marri, Roman Krahne, Nicolò Maccaferri, Zhenrong Zheng, Shangzhong Jin, Denis Garoli   +18 more
wiley   +1 more source

Novel Radio-Frequency Fingerprint Recognition Scheme Using Multiwavelets-Based Cyclic-Spectrum Graph Analysis

, 2021
A novel radio-frequency (RF) fingerprint recognition scheme using finite-element-multiwavelets-based cyclic-spectrum graph analysis is introduced in this work.
Xiao Yan, Yiyan Wu, Yan, Xiao, Wu, Yiyan, Pengwei Li, Hsiao-Chun Wu, Wang, Qian, Li, Pengwei, Qian Wang, Wu, Hsiao Chun   +9 more
core   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Channel-Agnostic Radio Frequency Fingerprint Identification Using Spectral Quotient Constellation Errors

IEEE Transactions on Wireless Communications
Radio frequency fingerprint identification (RFFI) is a physical layer security methodology to recognize individual devices by leveraging hardware imperfections inevitably induced in the manufacturing process.
Jiashuo He, Sai Huang, Zheng Yang, Kan Yu, H. Huan, Zhiyong Feng   +5 more
semanticscholar   +1 more source