Results 201 to 210 of about 177,551 (299)

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

An evidence theory based multiple model fusion method for fault diagnosis of distribution line. [PDF]

Sci Rep
Wan W, Yue Y, Liu W, Deng M, Zhang J, Qin Z.   +5 more
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Artificial intelligence-based fault classification on photovoltaic plants using a low-cost open-source IoT system. [PDF]

Sci Rep
Srisiri W, Le NT, Saleem MA, Kaewplung P, Chaitusaney S, Benjapolakul W.   +5 more
europepmc   +1 more source

Solar Heating Enhanced Selective Recovery of Metal Ions Through Flowing Electrodes Enabled by Hybrid Carbon Nanostructures

Advanced Functional Materials, EarlyView.
A new electrochemical system based on a microporous hybrid of carbon nanoplatelets and nanotubes to selectively capture Ni2+ from wastewater is constructed. The system temperature rises rapidly when irradiated with sunlight, which enhances the Ni2+ removal rate by 250% and the selectivity by 53%, and the energy consumption is also reduced by 51 ...
Ziquan Wang, Jiaqi Chen, Qiuru Lin, Mingxing Liang, Bo Yang, Yantao Chen, Minjun Kim, Yusuke Yamauchi, Stephen J. Eichhorn, Zhiqun Lin, Magdalena Titirici, Libo Deng   +11 more
wiley   +1 more source

Graph Neural Networks for Fault Diagnosis in Photovoltaic-Integrated Distribution Networks with Weak Features. [PDF]

Sensors (Basel)
Liu J, Huang Y, Chen K, Liu G, Yan J, Chen S, Xie Y, Yu Y, Huang T.   +8 more
europepmc   +1 more source

Multilayer Soft Photonic Arrays Inspired by Cephalopod Skin for High‐Density, Independent, and Multimodal Actuation

Advanced Functional Materials, EarlyView.
A vertically stacked, DEA‐driven photonic array inspired by cephalopod skin, featuring highly crystalline colloidal crystal gels with vivid color, low FWHM and scalability is presented. The multilayer design removes lateral pixel interference, achieving near‐100% fill factor with fully independent RGB actuation.
Maga Kim, Imbo Kong, Do Yoon Kim, Jaeyoung Choi, Seong‐Yu Choi, Yun Hyeok Lee, Sihwan Lee, Byung Ik Park, Gimin Sung, In‐Suk Choi, Wook Sung Kim, Jeong‐Yun Sun   +11 more
wiley   +1 more source

Multi-sensor observer-based residual learning with Auto-Permutation Feature Importance for fault diagnosis of multistage centrifugal pumps under variable pressures. [PDF]

Sci Rep
Ullah S, Siddique MF, Kim JM.
europepmc   +1 more source

Pore Size Effects of Mesoporous N‐Doped Carbon Nanospheres as Advanced Support Material on the Activity of Molybdenum Sulfide Catalysts for the Hydrogen Evolution Reaction

Advanced Functional Materials, EarlyView.
By tuning the pore size of mesoporous N‐doped carbon (MPNC) nanospheres as support material for molybdenum sulfide, the electrochemical activity of the composite material for the hydrogen evolution reaction can be optimized. An ideal MPNC pore size of 60 nm allows a high number of molybdenum sulfide active sites while maintaining efficient proton and ...
Niklas Ortlieb, Christian Völker, Lars Guggolz, Anna Fischer   +3 more
wiley   +1 more source