Results 251 to 260 of about 2,071,116 (352)

Hybrid Helmholtz–Helical Metamaterial for Broadband-Targeted Suppression of Substation Noise

Jingkai Nie, Yi Tian, Xing Li, Qiang He, Weichun Huang, Yu Han, Chen Chen, Min Lu   +7 more
openalex   +1 more source

Recent Advances in Programmable Metasurfaces and Meta‐Devices

Advanced Electronic Materials, EarlyView.
Programmable metasurfaces enable various novel functionalities by dynamically tuning electromagnetic wavefronts. This article provides a comprehensive review of recent advances in microwave and terahertz programmable metasurfaces, covering electrical, thermal, optical, and mechanical control mechanisms.
Linda Shao, Chong He, Nan Wang, Liming Si, Weiren Zhu   +4 more
wiley   +1 more source

Topological Materials and Related Applications

Advanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti, Roberto Mantovan, Emanuele Longo, Harold J. W. Zandvliet, Pantelis Bampoulis, Yu Pan, Fan Li, Xia Wang, Payton Downey, Alessandro Molle   +9 more
wiley   +1 more source

Material Strategies for Stimulation and Recording in Neural Biocomputing Platforms

Advanced Electronic Materials, EarlyView.
Material strategies enabling stimulation and recording are central to neural biocomputing systems. This review examines how electronic materials govern the encoding of inputs and decoding of outputs in living neural networks. Advances in electrical, optical, and multimodal interfaces highlight emerging design principles for biocomputing platforms ...
Sehong Kang, Junggeon Park, Aryaman Joshi, Rakid Haque, Gyu Weon Hwang, Hyunjoon Kong   +5 more
wiley   +1 more source

Selective Charge Extraction Allows Fast Photomultiplication and Imaging in Rigid and Ultra‐Flexible SWIR Organic Photodiodes

Advanced Energy Materials, EarlyView.
SWIR donor polymer TQ‐3T allows photomultiplication in OPD in 1:1 ratio with NFA Y6, achieving EQEs > 1100% at ‐10 V. Microseconds response times are retained, amongst the lowest for photomultiplication. As proof of concept, we demonstrate ultrathin and flexible PM‐OPDs based on our TQ‐3T:Y6 as a flexible pulse oximeter as well as a conformable image ...
Matilde Brunetta, Zhuoran Qiao, Davide Nodari, Kosei Sasaki, Francesco Furlan, Martina Rimmele, Hongki Kim, Hongting Chen, Yusaku Tagawa, Adam Marsh, Rushil Vasant, Sang Do, Xabier Rodríguez‐Martínez, Anirudh Sharma, Christos L. Chochos, Jaime Martin, Martin Heeney, Koen Vandewal, Derya Baran, Thuc‐Quyen Nguyen, Bob C. Schroeder, Takao Someya, Tomoyuki Yokota, Nicola Gasparini   +23 more
wiley   +1 more source

Unsteady Fast Random Particle Mesh method for efficient prediction of tonal and broadband noises of a centrifugal fan unit

, 2015
Seung Heo, Cheolung Cheong, Taehoon Kim
openalex   +1 more source

Prediction of Contra-Rotating Open Rotor broadband noise in isolated and installed configurations

, 2014
Thomas Nodé-Langlois, F. Wlassow, Vianney Languille, Y. Colin, B. Caruelle, J. Gill, Xiaoxiang Chen, Xin Zhang, A. Parry   +8 more
semanticscholar   +1 more source

Food Tastes in the United States: Convergence or Divergence?

Agribusiness, EarlyView.
ABSTRACT This study investigates how food consumption tastes have changed in recent decades across the United States. Using NielsenIQ data for over 77 million transactions, there is evidence of divergence in food tastes across regions from 2007 to 2016 and across households of different income, education, and race/ethnicity groups.
Michael DeDad
wiley   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source