Results 211 to 220 of about 126,616 (238)

Design, Preparation, and Structural Control Mechanism of High Performance Water Splitting NiFeCu Catalyst under Magnetic Field

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
By utilizing magnetic field‐assisted electrodeposition to synthesize a Cu‐rich dendritic NiFeCu electrocatalyst, this study significantly improves the efficiency of water splitting. The research not only introduces an innovative strategy for designing highly active bifunctional catalysts but also pioneers a new direction for the application of magnetic
Zhong Wang, Siyuan Zhang, Xuemin Wang, Chuhan Wang, Weibin Chen, Guojian Li, Xiaoming Liu, Qiang Wang, Shuang Yuan   +8 more
wiley   +1 more source

W-Band Through-Wall Radar Using a High-Gain Frequency-Scanning SSPP Antenna. [PDF]

Micromachines (Basel)
Tian Z, Zhang J, Yan W, Wang Y, Zhu X, Zhang X, Pan P.   +6 more
europepmc   +1 more source

Machine‐Learning‐Enabled Wood with Nanopump Functionalization for Solar Interfacial Evaporation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed machine learning to design an iron‐cobalt‐carbon‐wood photothermal material, achieving high‐efficiency evaporation at 2.807 kg m−2 h−1 and excellent salt resistance. The integrated system increased the daily water production efficiency of solar distillation by 1.5 times, providing an innovative solution for sustainable seawater ...
Chaohai Wang, Rui Li, Chang He, Xinfeng Zhu, Junning Wang, Rongfu Peng, Ho Ngoc Nam, Yanli Mao, Wei Liu, Mingshan Zhu, Yusuke Yamauchi   +10 more
wiley   +1 more source

Hydrophobic eutectic solvent‐engineered membranes for highly permeable, selective, and antifouling pharmaceutical removal from municipal wastewater

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Single‐step incorporation of a hydrophobic deep eutectic solvent (HDES) into polyethersulfone ultrafiltration membranes via non‐solvent induced phase separation creates selective, antifouling membranes for pharmaceutical removal. The HDES nanodomains enhance permeability, electrostatic interactions, and adsorption affinity, enabling efficient and ...
Anjali Goyal, Tarek Lemaoui, Mahendra Kumar, Ahmad S. Darwish, Ali Zerriouh, Fawzi Banat, Hassan A. Arafat, Shadi W. Hasan, Inas M. AlNashef   +8 more
wiley   +1 more source

Combined Use of Microwave Sensing Technologies and Artificial Intelligence for Biomedical Monitoring and Imaging. [PDF]

Biosensors (Basel)
Martínez-Lozano A, Buitrago-Bernal A, Roy L, Vicente-Samper JM, Juan CG.   +4 more
europepmc   +1 more source

Interfacial Solvent Molecular Engineering via High‐Safety Dense Separators for High‐Rate Lithium‐Ion Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The dense PPS‐separator prevents thermal runaway by allowing electron transfer through the steel needle during penetration, while the residual electrolyte enables brief ion migration and Joule heating, causing rapid electrolyte vaporization, collapse of the ion transport network, and a sharp drop in ionic conductivity.
Haitao Zhou, Jie Gu, Haiyun Zhou, Yihong Deng, Yafei Shi, Yang Yang, Chen Wang, Hongquan Gao, Jianchun Wu, Libo Wang, Xiangdong Huo   +10 more
wiley   +1 more source

Microwave imaging for human brain stroke detection using frequency domain inverse modelling & phantom experiments. [PDF]

Sci Rep
Rana SP, Davis JG, Khalil K, O'Toole M, Watson S, Liang S, Parry-Jones A, Daniels DJ, Peyton AJ.   +8 more
europepmc   +1 more source

Machine Learning‐Assisted Design of BaTiO3‐Based Superparaelectric High‐Entropy Ceramics with Superior Energy Storage

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed an adaptive iterative strategy combining machine learning algorithms, domain knowledge, experimental design, and experimental feedback to aim to precisely and quickly discover high‐entropy ceramics with excellent energy storage performance.
Haowen Liu, Xiaoyan Zhang, Zhiyuan Ma, Kailong Ma, Xiwei Qi   +4 more
wiley   +1 more source

Decoding epilepsy's molecular blueprint: Machine learning unravels transcriptomic subtypes and regulatory networks

Epilepsia, EarlyView.
Abstract Objective Drug‐resistant epilepsy (DRE) affects approximately one‐third of patients with epilepsy. The molecular heterogeneity underlying DRE remains poorly defined, largely due to limited access to resected brain tissue and substantial genetic diversity.
Yanping Weng, Yu Ma, Wanwan Hou, Haibo Li, Yuanfeng Zhou, Rui Zhao, Hao Li, Lian Chen, Yangyang Ma, Li Jin, Yi Wang, Yu An   +11 more
wiley   +1 more source