Results 121 to 130 of about 718,657 (276)

Fluorophobic Effect Enables Selective Detection of PFAS in Water with Electrolyte‐Gated Organic Transistors

Advanced Functional Materials, EarlyView.
PerFluoroAlkyl Substances (PFAS) are responsible of major and persistent environmental pollution worldwide. This work demonstrates an ultra‐sensitive sensor for PFAS based on an organic transistor whose gate is functionalized with a binary self‐assembled monolayer containing a perfluorinated molecule.
Rian Zanotti, Marcello Berto, Matteo Sensi, Alessandro Paradisi, Eleonora Veronese, Lucia Pasquato, Carlo Augusto Bortolotti, Pierangelo Metrangolo, Fabio Biscarini   +8 more
wiley   +1 more source

Audio Visual Learning Media Based on Microsoft Powerpoint With Materials for Summary and Reduction of Class III Mathematics Courses

, 2021
Dita Ainun Fitria Ainun Fitria, Nurafni Nurafni   +1 more
openalex   +2 more sources

Experimentally Validated Design Principles of D‐Block Transition Metal Single‐Atom Non‐Dissociative Chemisorption Solid‐State Hydrogen Storage Materials

Advanced Functional Materials, EarlyView.
A novel descriptor and a bottom‐up design principle are established to enable the rational design of hydrogen storage materials based on d‐block transition metal single‐atom COFs. By modulating H₂ adsorption through d‐orbital tuning, this approach achieves both high storage capacity and fast kinetics, while revealing a volcano‐type relationship between
Qiuyan Yue, Chao Li, Yong Gao, Zhenglong Li, Wen‐Gang Cui, Xinqiang Wang, Guoquan Na, Xiaowei Wang, Yiyang Wan, Mingchang Zhang, Yanxia Liu, Fulai Qi, Chenchen Li, Xu Xue, Jian Miao, Jing Zhang, Xiao Han, Pan Wang, Chang Guo, Xiacui Liu, Mingxia Gao, Wenping Sun, Jian Chen, Zhenhai Xia, Hongge Pan   +24 more
wiley   +1 more source

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

Advanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi, Irem Deniz Derman, Deepak Gupta, Logan Haugh, Yogendra Pratap Singh, Vaibhav Pal, Yasar Ozer Yilmaz, Suihong Liu, Andre Luis Dias, Rogerio Andrade Flauzino, Ibrahim Tarik Ozbolat   +10 more
wiley   +1 more source

Analisis Penggunaan Media Pembelajaran Wordwall Game dalam Pembelajaran Matematika di Sekolah Dasar

Jurnal Studi Guru dan Pembelajaran
This research was motivated by the lack of use of technology-based learning media in mathematics learning for class VA students at Sendangguwo 01 State Elementary School student learning activity was low and learning seemed monotonous so students were ...
Ichda Nurul Marlita, Siti Patonah, Evy Ariestanti, Noor Miyono   +3 more
doaj   +1 more source

The Hierarchical Structure of Sheep Wool and Its Impact on Physical Properties

Advanced Functional Materials, EarlyView.
Sheep wool, a prevalent α‐keratinous fiber, is an essential model for studying protein‐based fibers. Its genetic diversity across breeds enables the establishment of multiscale structure‐property relationships, uncovering previously elusive insights into wool's hierarchical structure.
Serafina R. France Tribe, Paloma X. Lee, Caterina Czibula, Mónica G. Simões, Reiner Bleher, Keith E. Duncan, Michael Thoman, Christopher N. Topp, Vinayak P. Dravid, Cécile A. C. Chazot   +9 more
wiley   +1 more source

A Mathematical Method for Determining Optimal Quantity of Backfill Materials Used for Grounding Resistance Reduction [PDF]

, 2018
Jovan Trifunović
openalex   +1 more source

Unlocking the Full Potential of MgAgSb by Unravelling the Interrelation of Phase Constitution and Thermoelectric Properties

Advanced Functional Materials, EarlyView.
Persistent secondary phases govern the performance of many thermoelectric materials, particularly of high performance MgAgSb. In this study advanced microstructural characterization for unequivocal phase identification combined with transport modeling and statistical analysis enabled the quantification of each phase's impact, revealing the most ...
Amandine Duparchy, Frederic Kreps, Eckhard Müller, Johannes de Boor   +3 more
wiley   +1 more source

Oxygen Evolution Reaction by Ni‐Hexacyanoferrates Nanocubes Integrated with Trigonal Selenium: Effect, Properties and Performances

Advanced Functional Materials, EarlyView.
This work describes a novel approach to obtain composite submicrometric structures of nickel hexacyanoferrate integrating trigonal selenium with the aim of enhancing the catalytic efficiency in oxygen evolution reaction (OER). Interestingly, the nanostructures undergo a cube‐to‐sphere transition that optimizes surface properties, leading to superior ...
Edlind Lushaj, Tofik Ahmed Shifa, Kassa Belay Ibrahim, Alessio Bertocco, Kamran Akbar, Isabel Barroso‐Martín, Antonia Infantes‐Molina, Enrique Rodríguez‐Castellón, Alberto Vomiero, Elisa Moretti, Federico Polo   +10 more
wiley   +1 more source

CO2 Reduction on Copper‐Nitrogen‐Doped Carbon Catalysts Tuned by Pulsed Potential Electrolysis: Effect of Pulse Potential

Advanced Functional Materials, EarlyView.
This study demonstrates that pulsed potential electrolysis significantly improves CO2 reduction performance on copper‐nitrogen doped carbon electrodes. The formation of cationic copper sites and metallic clusters as a function of applied intermittent potential leads to notable selectivity changes compared to potentiostatic reduction.
Dorottya Hursán, Janis Timoshenko, Andrea Martini, Hyo Sang Jeon, Eduardo Ortega, Martina Rüscher, Arno Bergmann, Aram Yoon, Uta Hejral, Antonia Herzog, Clara Rettenmaier, Felix T. Haase, Philipp Grosse, Beatriz Roldan Cuenya   +13 more
wiley   +1 more source