Results 81 to 90 of about 5,002 (177)

Integrating Hyperspectral Data and Deep Learning for Non-Destructive Prediction of Tea Quality Parameters Across Different Physical States of Tea Leaves and Growth Periods. [PDF]

Plants (Basel)
Zhou G, Ji H, Pan R, Yang X, Zhao S, Yang L, Shang X, Zhang H, Zhang H, Liu X, Ma Y, Zhu X, Jiang J, Fang W.   +13 more
europepmc   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Pipeline Flange Bolt Loosening Detection Technology Based on Stress Waves and Deep Learning. [PDF]

Sensors (Basel)
Yu C, Cheng P, Shao C, Guo Y, Cheng L, Sun C.   +5 more
europepmc   +1 more source

Tailoring Phonon‐Driven Responses in α‐MoO3 through Isotopic Enrichment

Advanced Materials, EarlyView.
ABSTRACT The implementation of polaritonic materials into nanoscale devices requires selective tuning of parameters to realize desired spectral or thermal responses. One robust material, α‐MoO3, an orthorhombic crystal boasting three distinct phonon dispersions, provides three polaritonic dispersions of hyperbolic phonon polaritons (HPhPs) across the ...
Thiago S. Arnaud, Ryan W. Spangler, Johnathan D. Georgaras, Jonah B. Haber, Daniel Hirt, Maximilian Obst, Gonzalo Álvarez‐Pérez, Mackey Long III, Felix G. Kaps, Jakob Wetzel, Courtney Ragle, John E. Buchner, Youngji Kim, Aditha S. Senarath, Richarda Niemann, Mingze He, Giulia Carini, Unai Arregui‐Leon, Akash C. Behera, Ramachandra Bangari, Nihar Sahoo, Niels C. Brumby, J. Michael Klopf, Martin Wolf, Lukas M. Eng, Susanne C. Kehr, Thomas G. Folland, Alexander Paarmann, Patrick E. Hopkins, Felipe Jornada, Jon‐Paul Maria, Joshua D. Caldwell   +31 more
wiley   +1 more source

Spatial paradox between urban center expansion and vitality loss in Guangzhou, China. [PDF]

Sci Rep
Chen Y, Zhang L, Lu X, Zhang D, Deng A.
europepmc   +1 more source

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

WaveMamba-Net: Dual-frequency adaptive wavelet state-space network for real-time pulse signal classification in wearable health monitoring. [PDF]

iScience
Wu J, Bai Y, Feng L.
europepmc   +1 more source

Transient Laser‐Shocked Synthesis of Amorphous Layer‐Supported Metal Nanocrystals for Efficient Nitrate Reduction

Advanced Materials, EarlyView.
A general, versatile laser‐shock synthesis process is reported to produce various bimetallic CuNi, CuFe, CuCo, and medium‐entropy CuFeCoNi heterostructures, in which crystalline metal nanoparticles are anchored to amorphous hydroxide supports. During nitrate reduction reaction, the heterostructures undergo dynamic amorphous/crystalline reconstruction ...
Weihua Guo, Jixun Zhang, Siwei Zhang, Yangbo Ma, Yun Song, Jianjun Su, Zihao Li, Yinger Xin, Qiang Zhang, Mingming He, Ruixuan Wang, Rui Xue, Shibo Xi, Ying Wang, Shenlong Zhao, Tao Yang, Zhengxiao Guo, Ben Zhong Tang, Ruquan Ye   +18 more
wiley   +1 more source

GPRF-HPNet Physics-guided texture-aware fusion for real-world underwater image enhancement. [PDF]

Sci Rep
Xu J, Kiah MLM, Noor RM, Xu L, Xu C, Wu Y, Por LY.   +6 more
europepmc   +1 more source

Engineering CO2 Reduction Pathways via Alloy‐Support Interactions in Li‐CO2 Batteries

Advanced Materials, EarlyView.
Alloy‐support interactions in RuCu/NC induce interfacial charge redistribution and shift d‐band centers, steering CO2 reduction from Li2CO3 to metastable Li2C2O4. This pathway engineering lowers the rate‐determining barrier and suppresses carbonate formation, enabling high discharge voltage (3.23 V) in Li‐CO2 batteries with reduced overpotential (0.50 ...
Liang Sun, Xindan Zhang, Guang Feng, Guoqiang Zhao, Bernt Johannessen, Guanjie Li, Shilin Zhang, Hongge Pan, Zaiping Guo   +8 more
wiley   +1 more source