Results 101 to 110 of about 8,808 (262)

Cloud‐Edge Collaborative Framework‐Based Fault Diagnosis Method for Power Metering Smart Laboratory Equipment Using Improved Transformer

The Journal of Engineering
With the continuous advancement of power system intelligence, the need for efficient fault diagnosis of equipment in power metering smart laboratories has become increasingly pressing.
Ying Zhang, Wenjing Wang, Zilin Chen, Yuxin Lin   +3 more
doaj   +1 more source

Breaking the Surface: Buoyant Metal–Polymer Open–Cell Hybrid Lattice Metamaterials

Advanced Materials, EarlyView.
Open‐cell metal–polymer lattice metamaterials that defy sinking. (a) Injection process of the polyurethane (PU) foam into the titanium (Ti‐6Al‐4V) hollow‐strut lattice creating the open‐cell Ti‐6Al‐4V+PU hybrid lattice, (b) flotation test of a hybrid lattice specimen, and (c) a digital representation and experimental validation of a marine buoy ...
Jordan Noronha, Joey Tallon, Raad Omar, Jason Dash, Andrey Molotnikov, Martin Leary, Milan Brandt, Ma Qian   +7 more
wiley   +1 more source

Cotton leaf disease classification using deep learning models for smart agriculture

Agriculture & Food Security
Agriculture is a leading economical sector that contributes significantly to the livelihoods and the total Gross Domestic Product (GDP) of Pakistan. With cotton as a key crop, its production must be sustainable, and this becomes a challenge posed by ...
Hina Kiran Abbas, Muhammad Farrukh Shahid, Rehab Bahaaddin Ashari, Arwa Abdulwahab Mashat, Tariq J. S. Khanzada, Muhammad Hassan Tanveer   +5 more
doaj   +1 more source

Efficient Hydroxyl Diffusion Triggers Surface Hydronium Enrichment and Bulk Proton Participation to Boost Alkaline Hydrogen‐Evolving Reaction

Advanced Materials, EarlyView.
For the first time, we shed light on the surface‐to‐bulk diffusion, induction, and reaction behaviors of OH−, H+, and H2O species on model oxides for alkaline hydrogen‐evolving reaction (HER). We first demonstrate that bulk OH− diffusion significantly affects the generation of proton sources and the diffusion/reaction behaviors of protons, thus ...
Daqin Guan, Hengyue Xu, Xiao Sun, Leqi Zhao, Chun‐Kuo Peng, Chao Jing, Yu‐Cheng Huang, Jiayi Tang, Nai Shi, Zezhou Lin, Xiaomin Xu, Zhiwei Hu, Zongping Shao   +12 more
wiley   +1 more source

Interfacial Failure and Self‐Healing in Solid‐State Batteries

Advanced Materials, EarlyView.
Dynamic interfacial self‐healing offers an adaptive route to mitigate coupled mechanical, chemical, and electrochemical degradation in solid‐state batteries. This review connects evolving interfacial failure mechanisms with physical‐flow, chemical‐restoration, stimuli‐responsive, and electric‐field‐assisted repair strategies, highlighting targeted self‐
Xinxin Zhu, Tengfei Dai, Wendi Dou, Zhiheng Li, Kaihua Wen, Yanqun Lv, Ming Zhao, Jun Lu, Zaiping Guo   +8 more
wiley   +1 more source

Metastable Polymers for Circular 3D Printing

Advanced Materials, EarlyView.
3D‐printed polymers are usually permanent and hard to recycle. Here, metastable polymers are designed to fall apart on demand. A chemical trigger unzips the printed material back into its original building blocks within minutes at room temperature.
Johannes Markhart, Philipp Mainik, Eva Blasco   +2 more
wiley   +1 more source

Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies

Advanced Materials, EarlyView.
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim, Haeseong Kim, Joo Hwan Ko, Gil Ju Lee, Dae‐Hyeong Kim, Young Min Song   +5 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Energy-aware Advanced Machine Learning Models for Reliable Distribution Automation in Future Smart Grids

International Journal of Computational Intelligence Systems
Investigating the increasing complexity levels and operational issues of today’s smart grids, this research presents a novel approach based on Transformer-Based Models and Federated Learning for distribution automation and fault tolerance improvement ...
V. Eswaramoorthy, L. Mubaraali, S. SathishKumar, Huda Fatima   +3 more
doaj   +1 more source

Rubber‐Glass‐Crystal Triple Phase Transition in Polyacrylamide Hydrogels and Environment‐Adaptive Shape Memory Effect

Advanced Materials Interfaces, EarlyView.
By analyzing the thermal‐mechanical properties and molecular‐scale interactions in polyacrylamide (PAAM) hydrogels, this research demonstrates a rubber‐glass‐crystal phase transition under the combined stimuli of temperature and moisture. Because of these hybrid phase transitions, PAAM hydrogels exhibit shape memory behavior in thermal and moist ...
Shuai Xu, Han Li, Wenjing Lu, Yiheng Xue, Jincheng Lei, Linchun He, Yu Chai, Zishun Liu   +7 more
wiley   +1 more source