Results 131 to 140 of about 18,937 (288)

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Seasonal predictions of summer compound humid heat extremes in the southeastern United States driven by sea surface temperatures

npj Climate and Atmospheric Science
Humid heat extreme (HHE) is a type of compound extreme weather event that poses severe risks to human health. Skillful forecasts of HHE months in advance are crucial for developing strategies to enhance community resilience to extreme events1,2.
Liwei Jia, Thomas L. Delworth, Xiaosong Yang, William Cooke, Nathaniel C. Johnson, Liping Zhang, Youngji Joh, Feiyu Lu, Colleen McHugh   +8 more
doaj   +1 more source

Acoustic liner optimisation and noise propagation through turbofan engine intake ducts

, 2013
The research in this thesis explores the prediction of fan noise propagation through turbofan engine intakes and its radiation to the far-field. The performance of acoustic liners installed in intakes to attenuate noise is the focus of the study.
Kewin, Matthew Fergus
core  

pystruct - Learning Structured Prediction in Python

, 2022
S.2055-2060Structured prediction methods have become a central tool for many machine learning applications. While more and more algorithms are developed, only very few implementations are available.
Behnke, Sven, Müller, A.
core  

Interface‐Engineered Binary Framework Composites: Advancing Porous Materials for Precision Medicine

Advanced Materials Interfaces, EarlyView.
Binary framework composites integrate two complementary porous architectures into a unified platform, enabling multifunctional design, enhanced structural tunability, and improved physicochemical performance. By combining high surface area, ordered porosity, interfacial synergy, and versatile functionalization, these hybrid materials offer new ...
Navid Rabiee, Mohammad Rabiee, Mohammad Akrami‐Hasan‐Kohal, Sidi A. Bencherif   +3 more
wiley   +1 more source

Overcoming Printing and Interfacial Challenges in Liquid Metal Direct Writing for Integrated Stretchable Electronics

Advanced Materials Technologies, EarlyView.
Liquid metal direct writing is advanced from a technological and fundamental point. Utilizing a kinematic bed, printing on large surfaces with irregularities is enabled. Furthermore, a pressure‐driven flow during printing is discovered that affects the thickness of traces.
Maximilian Krack, Lennert Purnal, Parth Vinayakrao Sewlikar, Sam Cuyvers, Gus Geurts, Rathul Nengminza Sangma, Derese Desta, Dieter Reenaers, Bart Ruttens, Iris De Graeve, Tom Hauffman, Seppe Terryn, Bram Vanderborght, Michaël Daenen, Wim Deferme, Monika Rai   +15 more
wiley   +1 more source

Indoor localisation based on fusing WLAN and image data [PDF]

, 2011
In this paper we address the automatic identification of indoor locations using a combination of WLAN and image sensing. We demonstrate the effectiveness of combining the strengths of these two complementary modalities for very chal- lenging data.
O'Connor, Noel E., Redzic, Milan, O\u27Connor, Noel E., Brennan, Conor   +3 more
core  

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

Chemically Doped Conductive Polymers for Wearable Health Monitoring

Advanced Materials Technologies, EarlyView.
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo, Jian Song, Hong Hu, Le Zheng, Lei Zhang, Charles H. Lawrie   +5 more
wiley   +1 more source

Probabilistic photonic computing with chaotic light

Nature Communications
Biological neural networks effortlessly tackle complex computational problems and excel at predicting outcomes from noisy, incomplete data. Artificial neural networks (ANNs), inspired by these biological counterparts, have emerged as powerful tools for ...
Frank Brückerhoff-Plückelmann, Hendrik Borras, Bernhard Klein, Akhil Varri, Marlon Becker, Jelle Dijkstra, Martin Brückerhoff, C. David Wright, Martin Salinga, Harish Bhaskaran, Benjamin Risse, Holger Fröning, Wolfram Pernice   +12 more
doaj   +1 more source