Results 81 to 90 of about 143,487 (265)

Integrated charge excitation triboelectric nanogenerator

Nature Communications, 2019
Triboelectric nanogenerators may benefit Internet-of-Things era energy demands, but application is hindered by low charge density. Here the authors maximize charge density in ambient conditions and achieve stable power generation in a triboelectric ...
Wenlin Liu, Zhao Wang, Gao Wang, Guanlin Liu, Jie Chen, Xianjie Pu, Yi Xi, Xue Wang, Hengyu Guo, Chenguo Hu, Zhong Lin Wang   +10 more
doaj   +1 more source

High‐Performance n‐Type Organic Thermoelectrics Enabled by Control Over Microstructure, Orientation and Contact Plane in Naphthalenediimide‐Bithiazole‐Copolymer Films

Advanced Functional Materials, EarlyView.
Effective control over the crystalline contact plane and microstructure of a naphthalenediimide‐bithiazole copolymer enables high‐performance n‐type thermoelectrics. While rubbing alignment induces a detrimental edge‐on orientation, subsequent solvent vapor‐induced re‐orientation facilitates a favorable mixed face‐on/edge‐on morphology.
Suhao Wang, Said Oummouch, Huan Wei, Karl Thorley, Adam Marks, Arianna Magni, Xiuming Sun, Alessandra Pistillo, Bruno Schmaltz, Olivier Bardagot, Sabine Ludwigs, Alberto Salleo, Yuanyuan Hu, Martin Brinkmann   +13 more
wiley   +1 more source

Development of Multifunctional Hierarchically Restructured Antibacterial Neural Interfacing Electrodes via Plasma‐Enhanced Atomic Layer Deposition of Zinc Oxide Thin Films

Advanced Functional Materials, EarlyView.
ABSTRACT Next‐generation implantable neural‐interfacing devices are increasingly constrained by the coupled demands of electrode miniaturization, electrochemical performance, and implantation infection risk. Femtosecond laser–based hierarchical surface restructuring (HSR) technology has emerged as a scalable, manufacturing‐compatible platform for ...
Henna Khosla, Wesley Seche, Kriti Panchal, Steven J. May, Ekaterina Pomerantseva, Jacob Elmer, Tyler Cooper, Matthew J. Urban, Hailey Y. Maurer, Gregory A. Caputo, Jeffrey Hettinger, Shahram Amini, Gang Feng   +12 more
wiley   +1 more source

Structural Power Composites Based on High Mass Loading Zn‐Ion Hybrid Supercapacitors with Metal Mesh Current Collectors and Aramid Nanofiber/Glass Fiber Composite Electrolytes

Advanced Functional Materials, EarlyView.
A multifunctional structural power composite is developed by integrating high‐mass‐loading Zn‐ion hybrid supercapacitors with metal mesh current collectors and aramid nanofiber‐based composite electrolytes, enabling simultaneous load‐bearing capability and enhanced areal energy storage.
Yuseung Choi, Gilyong Shin, Hoyeon Lee, Eun Jae Nam, Byeong Jun So, Sungryul Yun, Fu‐Kuo Chang, Jei Gyeong Jeon, Tae June Kang   +8 more
wiley   +1 more source

Polymer Substrates for Flexible Sensors: Advances and Contributions to Smart Agriculture

Advanced Functional Materials, EarlyView.
This review comprehensively summarizes recent advances in polymer‐based flexible sensors for smart agriculture, focusing on polymer substrate design, interface engineering, and applications in soil, plant, animal, aquaculture, and post‐harvest monitoring.
Yihui Li, Zhangzheng Xiao, Zheng Yan, Adnan Raza Altaf, Qun Song, Dingding Yao, Afshan Sohail, Yixin Wang, Wenxiu Ma, Shanjun Li, Yaohui Chen, Peiwen Liu, Kai Zhang   +12 more
wiley   +1 more source

Acid Site Design for Low Hydration Proton Exchange Membranes

Advanced Functional Materials, EarlyView.
α‐CF2 substitution adjacent to sulfonic acid increases acid strength and enables efficient proton transport under low hydration conditions. This molecular design reduces the dependence of hydrocarbon proton exchange membranes on excessive water uptake, addressing a key limitation of conventional hydrocarbon PEMs while maintaining favorable conductivity
Ajay Kumar, Lorena Alzate‐Vargas, Mayra Rodriguez‐Pena, Douglas I. Kushner, Marina Pacheco, Panagiotis Bexis, Ahmet Kusoglu, Siddharth Komini Babu, Edward F. Holby, Jacob S. Spendelow, Eun Joo S. Park   +10 more
wiley   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 more
wiley   +1 more source

Analysis of the influence of configuration parameters on the electric field distribution of the main insulation structure of valve‐side winding of converter transformer considering electro‐thermal coupling

IET Electric Power Applications
The variation of configuration parameters in the insulation structure of transformers significantly impacts the distribution of electric fields. Current research on electric field distribution calculations often overlooks the influence of electric field ...
Lijun Yang, Zhidong Cheng, Li Cheng, Ruijin Liao   +3 more
doaj   +1 more source

Sodium Alginate‐Based Submucosal Lifting Hydrogel for Endoscopic Mucosal Resection and Endoscopic Submucosal Dissection

Advanced Healthcare Materials, EarlyView.
A biocompatible sodium alginate‐based hydrogel is developed as a next‐generation submucosal lifting agent intended for EMR and ESD. The optimized formulation exhibits a composition devoid of endotoxins, high viscosity, demonstrates reliable injectability, and ensures prolonged mucosal elevation.
Iram Maqsood, Venkata S. Akshintala, Surya T. Evani, Rebecca A. Krimins, Yihan Wang, Keith Freel, Ahmed Ibrahim, Saowanee Ngamruengphong, Mouen Khashab, Stephen W. Hoag   +9 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source