Results 231 to 240 of about 518,242 (313)

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

Advanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao, Chongyang Hao, Karol Viviana Mejia‐Centeno, Malik Dilshad Khan, Shang Wang, Longqiu Li, Yanhong Tian, Andreu Cabot, Qing Sun   +8 more
wiley   +1 more source

Optimal Control Method for Microgrid Distributed Generation Based on Multi-Agent Adaptive Decision-Making. [PDF]

Sensors (Basel)
Mai H, Teng Q, Wang X.
europepmc   +1 more source

Indium‐Mediated Glue‐Like Interlayer Enables Stable High‐Capacity Flexible Sodium Metal Batteries

Advanced Materials, EarlyView.
A three‐dimensional Na‐In‐S/Cu composite interlayer is constructed on a flexible current collector via an In‐mediated in situ reaction. Featuring abundant Na nucleation sites and a low diffusion barrier, this interlayer enables rapid and uniform Na deposition.
Xinyan Li, Shujing Wen, Junhua Zhou, Yanpeng Guo, Jiehua Cai, Xingyang Wang, Yongqiang Yang, Ang Ye, Can Guo, Zhaokun Wang, Qiyao Huang, M. Danny Gu, John Wang, Zijian Zheng   +13 more
wiley   +1 more source

Seasonal optimization and analysis of an Off-grid hybrid renewable energy system for a coastal hotel. [PDF]

Sci Rep
Hafez HSA, Saleh SM, Said M.
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

Polar-coordinated contour processing algorithm in optimizing SCART treatment volume. [PDF]

Front Oncol
Song J, Patel J, Qi W, Shi X, Wang Y, Schmidt M, Yang J, Wu D.   +7 more
europepmc   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Benchmarking energy consumption and solar energy potential for sustainable photovoltaic integration in university campus buildings. [PDF]

Sci Rep
Bekkouche A, Benidir F, Lekbir A, Samatar AM, Mekhilef S.   +4 more
europepmc   +1 more source

Ultra‐High‐Throughput Discovery of Multifunctional Polyphenolic Coatings on Droplet Microarrays

Advanced Materials, EarlyView.
An ultra‐high‐throughput (UHT) combinatorial strategy enables the miniaturized synthesis and screening of ≈30 000 polyamine‐polyphenolic (PaPp) coatings using droplet microarrays (DMA). This approach reveals hundreds of previously unknown fluorescent, redox‐active, and antibacterial materials, including multifunctional, cell‐compatible surfaces ...
Vania Tanda Widyaya, Joaquín E. Urrutia Gómez, Paul Reuß, Alexander Welle, Rolf A. Gattung, Jana Mayer, Peter Krolla, Markus Reischl, Pascal Friederich, Anna A. Popova, Thomas Schwartz, Pavel A. Levkin   +11 more
wiley   +1 more source

Step‐Edge Functionalization by N‐Heterocyclic Carbenes Enhances Catalytic Activity in Electrochemical CO2 Reduction

Advanced Materials, EarlyView.
Atomically precise functionalization by N‐heterocyclic carbenes enhances the catalytic efficiency of macroscopically defined step edges toward electrochemical CO2${\rm CO}_2$ reduction. Sub‐molecular imaging reveals conformational differences between specific NHCs, which can be correlated with their catalytic performance. Photoelectron spectroscopy and
Philipp Wiesener, Ankita Das, Elena Kolodzeiski, Duong Tran, Ying Pan, Harald Fuchs, Nieves López‐Salas, Saeed Amirjalayer, Frank Glorius, Harry Mönig   +9 more
wiley   +1 more source