Results 51 to 60 of about 6,069 (173)

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

A Review of Grain Boundaries: Formation Mechanism, Synthesis Strategy, and Application in Electrocatalysis

EcoEnergy, EarlyView.
An overview of grain boundary engineering in the field of electrocatalysis. ABSTRACT Key electrocatalytic reactions such as HER, OER, ORR, CO2RR, and NRR offer promising routes for storing renewable energy as chemical fuels. However, their widespread application is constrained due to the lack of highly active and stable catalysts. Grain boundaries (GBs)
Jingyu Gao, Fengming Zhou, Xinying Li, Ying Deng, Zexing Wu, Siyuan Feng, Yujing Zhu, Dan Zhang, Zhenyu Xiao   +8 more
wiley   +1 more source

Extrapolation strategy matters when transferring ecological niche models: new visualization tools for informed decisions

Ecography, EarlyView.
Abstract Ecological niche models (ENMs) are commonly used to predict species' potential distributions across space and time, allowing researchers and practitioners to assess invasion risk, estimate the impacts of future climate change, and reconstruct past distributions.
Gonzalo E. Pinilla‐Buitrago, Jamie M. Kass, Robert P. Anderson   +2 more
wiley   +1 more source

Harnessing Thin‐Film Solid‐State Electrolytes: Enabling Breakthroughs in All‐Solid‐State Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Schematic illustration highlighting the advantages of transitioning from traditional thick solid‐state electrolytes (SSEs) to thin‐film SSEs. Thinning the electrolyte enables higher ionic conductivity, reduced interfacial polarization, improved flexibility, compact electrode contact, and enhanced energy density, offering a promising pathway toward high‐
Yitao He, Haoyang Cheng, Li Wang, Xiangming He   +3 more
wiley   +1 more source

A New High‐Pressure Polymorph of MgTe2O5 with a Unique Crystal Structure

European Journal of Inorganic Chemistry, EarlyView.
MgTe2O5 synthesized under special high‐pressure/high‐temperature conditions of 8 GPa and 800 °C exhibits a unique crystal structure consisting of fused sechser rings built from pseudooctahedral [TeO5]6– and trigonal‐pyramidal [TeO3]2– units. The single‐crystal structure and temperature‐dependent powder diffraction data are presented.
Benjamin J. Pullicino, Gunter Heymann
wiley   +1 more source

Race‐Based Rejection Sensitivity and Intergroup Anxiety Across the Adult Lifespan: Examining Age, Cohort, and Period Effects Among Ethnic Majority and Minority Groups

European Journal of Social Psychology, EarlyView.
ABSTRACT Intergroup interactions are often fraught with fear of rejection and intergroup anxiety—emotional reactions that undermine efforts to build inclusive societies. The current research investigates how race‐based rejection sensitivity and intergroup anxiety evolve across the adult lifespan.
Kumar Yogeeswaran, Maykel Verkuyten, Kieren J. Lilly, Jessica Gale, Danny Osborne, Fiona Kate Barlow, Chris G. Sibley   +6 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

Flammability of Facades Across Scales and International Standards

Fire and Materials, EarlyView.
ABSTRACT Facade fires are a rare but destructive hazard that can lead to the rapid spread of fire between the floors and fire compartments of a building. Today, there are at least 21 different national standards for facade fire tests in use around the world, which seek to categorize facades based on their flammability.
Matthew Bonner, Wojciech Węgrzyński, Jakub Bielawski, Guillermo Rein   +3 more
wiley   +1 more source

Development and External Validation of an Efficient Deep Learning Model for Lesion Segmentation and Subtyping of Hepatic Echinococcosis in Ultrasound Imaging

Health Care Science, EarlyView.
We developed a lightweight deep learning framework that integrates frequency‐ and spatial‐domain ultrasound features with segmentation‐assisted classification for hepatic echinococcosis diagnosis. The model outperformed existing state‐of‐the‐art methods in both accuracy and inference speed while requiring substantially fewer computational resources ...
Zhu He, Jiajun Qiu, Chenlin Du, Jin Yin, Xuhui Zhang, Yelei Ren, Yifei Wang, Lamu Suolang, Chunyang Li, Zongjiu Zhang, Diming Cai, Qicheng Lao   +11 more
wiley   +1 more source