Results 231 to 240 of about 64,008 (285)

Redefining Separator Design and Water Activity for High‐Energy Zinc Batteries Using Covalent Organic Framework

Advanced Materials, EarlyView.
Device‐level zinc batteries are energy‐limited by the mass/volume of inactive components, while lean‐electrolyte operation triggers interfacial water depletion and unstable kinetics. Here we elucidate lean‐failure mechanisms and develop a COF@PAN functional separator that regulates hydrogen‐bonding networks to manage water activity and accelerate ...
Kun Zhang, Hongtian Liu, Yiwei Zhao, Yijia Yuan, Shibo Xi, Yaohua Zhao, Li Ma, Changan Lu, Shuanglin Wu, Xiaomei Huo, Jia Liu, Keyu Xie, Kian Ping Loh   +12 more
wiley   +1 more source

LGD-DeepLabV3+: An Enhanced Framework for Remote Sensing Semantic Segmentation via Multi-Level Feature Fusion and Global Modeling. [PDF]

Sensors (Basel)
Wang X, Liu X, Mahmood A, Yang Y, Li X.
europepmc   +1 more source

Self‐Regulating Sodium‐Ion Battery Materials: From Phase Reconstruction to Functional Activation

Advanced Materials, EarlyView.
Self‐regulating sodium‐ion batteries hinge on programmable phase behavior in layered oxides, interphases that renew without growth, and electrolytes that steer solvation and chemistry. This review distills mechanisms into design rules that span composition, site and entropy tuning, and self‐buffering anodes, linking operando evidence to choices and ...
Hong Gao, Dingyi Zhang, Chao Wang, Tianxiao Chen, Xingwang Peng, Yuxiu Xing, Xin Guo, Yufei Zhao, Yong Wang, Guoxiu Wang, Hao Liu   +10 more
wiley   +1 more source

WA-NET: enhanced boundary-aware segmentation of skin lesions via frequency-spatial feature fusion and attention-guided edge refinement. [PDF]

Sci Rep
Hu G, Zhu W, Liao X, Li Q.
europepmc   +1 more source

Generative Models for Crystalline Materials

Advanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source

Infrared Image Denoising Algorithm Based on Wavelet Transform and Self-Attention Mechanism. [PDF]

Sensors (Basel)
Li H, Zhang Y, Yang L, Zhang H.
europepmc   +1 more source

Oxygen Evolution Reaction Catalysts for Acidic‐Media CO2 Electrolyzers

Advanced Materials, EarlyView.
Acidic‐media CO2 electroreduction (CO2R) could decarbonize chemical production, despite relying on rare‐earth elements for anodic oxygen evolution reaction (OER). Transferring the learnings from mature sister technologies (water electrolysis) could accelerate technological development.
Mingcheng Huang, Adnan Ozden
wiley   +1 more source

Does Invasive Mammal Exclusion Restore an Ecosystem Function Mediated by Invertebrates? [PDF]

Ecol Evol
Watts C, Woolley CK, Arbuckle J, Bartlam S, Carpenter JK.   +4 more
europepmc   +1 more source

An Atomic‐Level Bimetallic MOF Platform Overcoming the Stability‐Performance Tradeoff for Laser Propulsion

Advanced Materials, EarlyView.
This work introduces an atomic‐level engineered bimetallic MOF Platform that resolves the inherent trade‐off between environmental stability and propulsion efficiency. By integrating robust Fe‐O bonds for hydrolysis resistance and enabling d‐orbital charge transfer (Fe3+→Cu2+) for enhanced photothermal conversion, the design achieves a highly durable ...
Senlin Rao, Gang Tang, Shizhuo Zhang, Gary J. Cheng   +3 more
wiley   +1 more source