Results 71 to 80 of about 275,031 (266)

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Contrastive Self-Supervised Learning-Based Wireless Fingerprint Localization

Complex System Modeling and Simulation
Recently, deep learning based fingerprint localization has attracted significant interest due to its simplicity in implementation and effectiveness in complex multipath environments, especially for the Internet of Things (IoT) devices in multiple-input ...
Qiao Li, Zhili Zhang, Zhaofa Zhou
doaj   +1 more source

Toward Length-Versatile and Noise-Robust Radio Frequency Fingerprint Identification

, 2023
Radio frequency fingerprint identification (RFFI) can classify wireless devices by analyzing the signal distortions caused by intrinsic hardware impairments. Recently, state-of-the-art neural networks have been adopted for RFFI.
Zhang, Junqing, Valkama, Mikko, Marshall, Alan, Cavallaro, Joseph R., Shen, Guanxiong   +4 more
core   +1 more source

Microscopic Insights into Magnetic Warping and Time‐Reversal Symmetry Breaking in Topological Surface States of Rare‐Earth‐Doped Bi2Te3

Advanced Materials, EarlyView.
Magnetic doping of the topological insulator Bi2Te3 with erbium adatoms induces out‐of‐plane magnetism and breaks time‐reversal symmetry, opening a Dirac gap and driving a Fermi surface transition from hexagonal to star‐of‐David geometry. Microscopy, spectroscopy, and magnetic dichroism reveal atomically controlled magnetic interactions that tailor the
Beatriz Muñiz Cano, Fabián Calleja, Ji Dai, Massimo Tallarida, Vera Marinova, Alessandro Barla, Marc G. Cuxart, Pierluigi Gargiani, Gonzalo N. Molina, José Angel Silva‐Guillén, Adriana I. Figueroa, Kevin García‐Díez, Sergio O. Valenzuela, Aitor Mugarza, Amadeo L. Vázquez de Parga, Rodolfo Miranda, Francisco Guinea, Manuela Garnica, Miguel A. Valbuena   +18 more
wiley   +1 more source

Differences in volatile components between different drying methods of Lentinus edoeds analyzed by GC-IMS

Shipin yu jixie
[Objective] To analyze the differences in volatile components between three kinds of dried L. edoeds. [Methods] Three different drying methods (hot air drying, radio frequency-hot air drying, vacuum freeze drying) were used to determine the volatile ...
CHEN Junyu, LING Jiangang, DU Lihui, KANG Mengli   +3 more
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Exploration of transferable deep learning-aided radio frequency fingerprint identification systems

Security and Safety
Radio frequency fingerprint identification (RFFI) shows great potential as a means for authenticating wireless devices. As RFFI can be addressed as a classification problem, deep learning techniques are widely utilized in modern RFFI systems for their ...
Shen Guanxiong, Zhang Junqing
doaj   +1 more source

LoRa Radio Frequency Fingerprinting Identification Using a Hybrid Quantum-Classical Neural Network [PDF]

Radio frequency fingerprint identification is a promising technique for device authentication that relies on the unique radio frequency fingerprint features caused by hardware impairments.
Zhang, Junqing, Duong, Trung Q., An, To Truong; id_orcid, Ding, Yuan, Cotton, SL, Ding, Y, Duong, TQ, An, TT, An, To Truong, Cotton, Simon L., Ding, Yuan; id_orcid, Zhang, J   +11 more
core   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Frequency Matters: On the Impact of Carrier Frequency on Privacy in Radio Fingerprinting

IEEE Wireless Communications Letters
Radio Frequency Fingerprinting (RFF) relies on unique inherent imperfections in radios’ hardware to authenticate devices based on Radio Frequency emissions. In this letter, we consider that fingerprints collected for multi-channel transmitters on certain frequencies get partially leaked to an adversary willing to track them, without information about ...
Ingrid Huso, Savio Sciancalepore, Gabriele Oligeri, Giuseppe Piro, Gennaro Boggia   +4 more
openaire   +2 more sources