Results 111 to 120 of about 891,940 (302)

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

On the use of windows for harmonic analysis with the discrete Fourier transform

Proceedings of the IEEE, 1978
F. Harris
semanticscholar   +1 more source

Arbitrary Total Angular Momentum Vectorial Holography Using Bi‐Layer Metasurfaces

Advanced Materials, EarlyView.
A bi‐layer metasurface platform is presented for arbitrary total angular momentum vectorial holography, where polarization and orbital angular momentum are exploited as independent multiplexing dimensions. By overcoming symmetry limitations of single‐layer designs, the approach generates distinct vectorial holographic images for each orthogonal TAM ...
Joonkyo Jung, Hyeonhee Kim, Jonghwa Shin
wiley   +1 more source

Low‐Dimensional MOF Nanoarchitectonics: Progress in MOF‐2D Material Hybrid Architectures for Energy Conversion and Storage

Advanced Materials, EarlyView.
This review highlights the integration of metal‐organic frameworks (MOFs) and two‐dimensional (2D) materials through dimensional interface engineering. By addressing intrinsic limitations like poor conductivity and agglomeration, these hybrid architectures optimize interfacial charge and mass transport.
Prashant Dubey, Norman C.‐R. Chen, Xiangyang Liu, Yongqi Yin, Keisuke Shirasaki, Kevin C.‐W. Wu, Yingji Zhao, Yusuke Yamauchi   +7 more
wiley   +1 more source

O2‐Accessible Fe–N4 Active Site Density Boosts Efficient Oxygen Reduction to Fuel‐Cell Level

Advanced Materials, EarlyView.
This study investigates the role of hierarchical nanostructure design in optimizing oxygen mass transport for the oxygen reduction. Using atomically dispersed Fe–N–C catalysts with solid, yolk‐shell, and hollow structures, it demonstrates that the yolk‐shell architecture provides superior O2 accessibility to active Fe–N4 sites.
Tianyu Zhang, Chen Liang, Shilun Sun, Shibo Xi, Zhongbin Zhuang, Jinliang Yuan, Zheng Xiao Guo, Junfeng Liu   +7 more
wiley   +1 more source

Multi-Tone Frequency Estimation Based on the All-Phase Discrete Fourier Transform and Chinese Remainder Theorem. [PDF]

Sensors (Basel), 2020
Huang X, Cao L, Lu W.
europepmc   +1 more source

Analog Control of Reconfigurable GHz Resonances from Chiral Spin Texture Ensembles

Advanced Materials, EarlyView.
Tunable microwave components ‐ essential for wireless technology ‐ typically require costly, customized nanofabrication. We show that ambient spin texture ensembles (e.g., magnetic skyrmions) in chiral multilayer films can enable reconfigurable microwave resonators.
T. S. Suraj, Jifei Huang, Hui Ru Tan, Jing Zhou, Abhijit Ghosh, Hang Khume Tan, May Inn Sim, Alexander K. J. Toh, Xiaoye Chen, Anjan Soumyanarayanan   +9 more
wiley   +1 more source

Symmetry Analysis of Amputee Gait Based on Body Center of Mass Trajectory and Discrete Fourier Transform. [PDF]

Sensors (Basel), 2020
Ochoa-Diaz C, Padilha L Bó A.
europepmc   +1 more source

Decoding High‐voltage LiCoO2: From Degradation to Stabilization Toward Durable Li‐ion Batteries

Advanced Materials, EarlyView.
This review systematically addresses the degradation mechanisms and stabilization strategies for high‐voltage LiCoO2 cathodes. Key enhancement approaches including foreign‐ion doping, surface modifications, structural design, and electrolyte optimization are critically assessed.
Zezhou Lin, Yiran Ying, Huangxu Li, Yanhao Ren, Tiancheng Liu, Peiyu Hou, Haitao Huang   +6 more
wiley   +1 more source

Generative Models for Crystalline Materials

Advanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source