Results 21 to 30 of about 46,863 (244)

Hierarchical MXene/ZnO Nanorods: WO3/CNT Trilayer Coatings on Cotton for High‐Performance Multifunctional Wearable Fabrics

Advanced Science, EarlyView.
xx xx. ABSTRACT Fabric‐based wearable electronics are gaining increasing attention owing to their flexibility, breathability, biocompatibility, and seamless integration into clothing. However, most existing studies rely primarily on metallic or carbon‐based conductive materials.
Thirumalaisamy Suryaprabha, Chunghyeon Choi, Sujith Lal, Min‐Young Seo, Tae‐Wook Kim, Ergang Wang, Byungil Hwang   +6 more
wiley   +1 more source

Англійська мова для навчання і работи. Навчальний посібник з англійської мови за професійним спрямуванням для студентів і фахівців галузі знань 0503 Розробка корисних копалин Т 1 [PDF]

, 2010
A coursebook includes all the activities of students’ work at ESP course aimed at development of language behaviour necessary for effective communication of students in their study and specialism areas.
Зуєнок, І.І., Кострицька, С.І., Поперечна, Н.В., Швець, О.Д.   +3 more
core  

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

Transport and energy in India. Energy used by Indian transport systems and consequent emissions: the need for quantitative analyses (Well-to-Wheel, Lifecycle) [PDF]

, 2013
The purpose of this work is, at first, a general overview on the state-of-art of the transportation system in India outlining the related energy consumption, for the different transport modes, with consequent estimated emissions.
Bensaid, Samir, Dalla Chiara, Bruno, Pant, K., Pinna, Ivano   +3 more
core  

A Leaf‐Inspired Janus‐Structured Triboelectric‐Moisture Hybrid Energy Harvester

Advanced Energy Materials, EarlyView.
This study proposes a bioinspired Janus structured energy‐leaf with hybrid triboelectric‐moisture hybrid energy harvesters. This hybrid energy harvester is demonstrated in an intelligent emergency system for effective distress signaling and evacuation guiding during potential crises.
Liang Wei, Rui Gu, Yixuan Fu, Ziwei Huo, Chao Liu, Jiahong Yang, Siqi Sun, Yang Liu, Qijun Sun, Dong‐Hwan Kim, Zhong Lin Wang   +10 more
wiley   +1 more source

Challenges and enablers in fluidization technology

AIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

STATNet: One-stage coal-gangue detector based on deep learning algorithm for real industrial application

Energy and AI
Coal-gangue object detection has attracted substantial attention because it is the core of realizing vision-based intelligent and green coal separation.
Kefei Zhang, Teng Wang, Xiaolin Yang, Liang Xu, Jesse Thé, Zhongchao Tan, Hesheng Yu   +6 more
doaj   +1 more source