Results 121 to 130 of about 184,713 (273)

Light‐Induced Entropy for Secure Vision

Advanced Materials, EarlyView.
This work realized a ternary true random number generator by exploiting stochastic traps emerging within multiple junction interfaces, and quantitatively validated the generation of high‐quality random numbers. Furthermore, it successfully demonstrated diverse applications, including AI‐resilient image security, thereby providing a valuable guide for ...
Juhyung Seo, Seungme Kang, Chaehyun Kim, Taehyun Park, Youngwoo Yoo, Yeong Kwon Kim, Wonjun Shin, Byung Chul Jang, Young‐Joon Kim, Hocheon Yoo   +9 more
wiley   +1 more source

Science‐Towards‐Technology Breakthrough in CO2 Electroreduction: Multiphysics, Multiscale, and Artificial Intelligence Insights

Advanced Materials, EarlyView.
Electrochemical CO2RR is a key technology for converting CO2 into chemicals, but there remains a gap between “laboratory science” and “engineering practice” in current research. This review establishes a multi‐scale research framework, encompassing atomic‐level characterization, microenvironment regulation, external field‐assisted optimization, and AI ...
Ping Hong, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source

An Efficient High-Throughput FFT Architecture to Process Twin Real-Valued Data-Streams With Normal I/O Order

IEEE Access
This paper proposes an efficient pipelined modified MDC-based (Multipath Delay Commutator) radix-2 RFFT (Real-valued Fast Fourier Transform) architecture with high throughput.
Antony Xavier Glittas, K. K. Abdul Majeed, S. Pradeep, N. Nandakumar, U. S. Pranavu Atithya   +4 more
doaj   +1 more source

Ubiquitous Antiparallel Domains in 2D Hexagonal Boron Nitride Uncovered by Interferometric Nonlinear Optical Imaging

Advanced Materials, EarlyView.
Interferometric second‐harmonic generation (SHG) imaging reveals the ubiquitous formation of antiparallel domains in CVD‐grown 2D hexagonal boron nitride. By resolving lattice orientation and SHG phase, hidden domain structures and disorder become visible over large areas. The SHG intensity quantitatively tracks crystalline quality across growth routes,
Yeri Lee, Juseung Oh, Kyung Yeol Ma, Seung Jin Lee, Eui Young Jung, Yani Wang, Kenji Watanabe, Takashi Taniguchi, Hailin Peng, Hiroki Ago, Ki Kang Kim, Hyeon Suk Shin, Sunmin Ryu   +12 more
wiley   +1 more source

Student’s t-Kernel-Based Graph Signals Maximum Correntropy Unscented Kalman Filter Under Hybrid Cyberattacks

IET Signal Processing
The implementation of Kalman filter (KF) in tracking high-dimensional, strongly correlated graph structured data is often complex and unstable. Meanwhile, in practical applications, the system may be subject to interference from non-Gaussian noise and ...
Bingyu Yin, Xinmin Song
doaj   +1 more source

Two-Dimensional Graph Bi-Fractional Fourier Transform

Graph signal processing (GSP) advances spectral analysis on irregular domains. However, existing two-dimensional graph fractional Fourier transform (2D-GFRFT) employs a single fractional order for both factor graphs, thereby limiting its adaptability to heterogeneous signals.
Wang, Mingzhi, Zhang, Zhichao
openaire   +2 more sources

The Coupling of Ferroelectric Polarization and Oxygen Vacancy Migration Enables Electrically Controlled Thermal Memories

Advanced Materials, EarlyView.
Ferroelectric Hf0.5Zr0.5O2 epitaxial thin films exhibit a non‐volatile, electrically controlled thermal conductivity enabled by the coupling between oxygen vacancy migration, acting as phonon scatterers, and ferroelectric polarization, acting as ion migration valve.
Dídac Barneo, Miquel Royo, Rafael Ramos, Jesús Carrete, Hugo Romero‐Bernad, Ricardo Jiménez, Víctor Leborán, César Magén, Noa Varela‐Domínguez, Miguel Algueró, Riccardo Rurali, José A. Pardo, Francisco Rivadulla, Eric Langenberg   +13 more
wiley   +1 more source

DyGAT-FTNet: A Dynamic Graph Attention Network for Multi-Sensor Fault Diagnosis and Time–Frequency Data Fusion

Sensors
Fault diagnosis in modern industrial and information systems is critical for ensuring equipment reliability and operational safety, but traditional methods have difficulty in effectively capturing spatiotemporal dependencies and fault-sensitive features ...
Hongjun Duan, Guorong Chen, Yuan Yu, Chonglin Du, Zhang Bao, Denglong Ma   +5 more
doaj   +1 more source

Graph Fourier Transformer with Structure-Frequency Information

Graph Transformers (GTs) have shown advantages in numerous graph structure tasks but their self-attention mechanism ignores the generalization bias of graphs, with existing methods mainly compensating for this bias from aspects like position encoding, attention bias and relative distance yet still having sub-optimal performance and being insufficient ...
Zhai, Yonghui, Zhang, Yang, Shang, Minghao, Pang, Lihua, Ren, Yaxin   +4 more
openaire   +2 more sources

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