Results 191 to 200 of about 13,766,670 (315)

Coordinated Multi‐Component Gradient Engineering of Catalyst Layers for Advanced Polymer Electrolyte Fuel Cells

Advanced Functional Materials, EarlyView.
This work presents a continuous linear gradient catalyst layer design, a general strategy for improving membrane electrode assemblies across electrochemical devices. Fabricated via a dual‐nozzle spray coating method, the architecture controls the Pt/carbon ratio, ionomer content and ionomer type across the catalyst layer, enhancing proton conduction ...
Shangwei Zhou, Matt P. Tudball, Yiming Guo, Bia Brandt, Adam Zucconi, Wenjia Du, Junfu Bu, Daniel H. C. Wan, Jianuo Chen, Emanuele Magliocca, Feng Ryan Wang, Alexander J.E. Rettie, Patrick S. Grant, Paul R. Shearing, Rhodri Jervis, Thomas S. Miller   +15 more
wiley   +1 more source

An analytic hierarchy process-based prioritization of psychological factors influencing academic performance among university students in China. [PDF]

Sci Rep
Xu X, Liu R, Serrano ED.
europepmc   +1 more source

Effects of physical activity on executive functions, attention and academic performance in preadolescent children: a meta-analysis.

Journal of Science and Medicine in Sport, 2017
J. W. D. Greeff, R. Bosker, J. Oosterlaan, C. Visscher, E. Hartman   +4 more
semanticscholar   +1 more source

Electroactive Liquid Crystal Elastomers as Soft Actuators

Advanced Functional Materials, EarlyView.
Electroactive liquid crystal elastomers (eLCEs) can be actuated via electromechanical, electrochemical, or electrothermal effects. a) Electromechanical effects include Maxwell stress, electrostriction, and the electroclinic effect. b) Electrochemical effects arise from electrode redox reactions.
Yakui Deng, Min‐Hui Li
wiley   +1 more source

A hybrid AI approach for predicting academic performance in RBE students. [PDF]

Front Artif Intell
Gonzales W, Cordero Z, Abanto-Ramírez CD, Susanibar Ramírez ET, Iftikhar H, Lopez-Gonzales JL.   +5 more
europepmc   +1 more source

Three‐dimensional Antimony Sulfide Based Flat Optics

Advanced Functional Materials, EarlyView.
This work presents the development of a grayscale electron beam lithography (g‐EBL) method for fabricating antimony trisulfide (Sb2S3) nanostructures with customizable 3D profiles. The refractive index of g‐EBL patterned Sb2S3 is determined based on the synergy of genetic algorithm and transfer matrix method.
Wei Wang, Uwe Hübner, Anne Gärtner, Tao Chen, Joseph Köbel, Franka Jahn, Daniel Repp, Abhrodeep Dey, Henrik Schneidwind, Andrea Dellith, Jan Dellith, Torsten Wieduwilt, Matthias Zeisberger, Tanveer Ahmed Shaik, Astrid Bingel, Markus A. Schmidt, Jer‐Shing Huang, Ulf Peschel, Volker Deckert   +18 more
wiley   +1 more source

Simulation-based education in an emergency medicine clerkship in Qatar: impact on academic performance and student perceptions. [PDF]

Int J Emerg Med
Bashir K, Mohammad Umar A, Elmoheen A, Bashir S, Al-Yousuf AA.   +4 more
europepmc   +1 more source

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

Anxiety, Academic Performance, and Physical Activity in University Students: A Scoping Review. [PDF]

Eur J Investig Health Psychol Educ
Vinueza-Fernández I, Esparza W, Martín-Rodríguez A, Sánchez-Cajas E.   +3 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