Results 71 to 80 of about 659 (170)

Faster growing and more functionally diverse: global change alters functional trait composition of mountain plant communities in the European Alps

Ecography, EarlyView.
Understanding how global change reshapes mountain plant communities is essential for predicting biodiversity and ecosystem function in a warming world. Using resurvey data from over 1400 non‐forest vegetation plots across the European Alps, we show that community‐weighted means of key functional traits capturing important dimensions of plant ecological
Sergey Rosbakh, Sabine B. Rumpf, Stefan Dullinger   +2 more
wiley   +1 more source

Global threats, local opportunities: ice‐related landforms provide refugia for high‐elevation plants and arthropods

Ecography, EarlyView.
Ice‐related landforms in mountain areas have been hypothesized to play a key role in the survival of cold‐adapted species threatened by climate change. However, our understanding of such landforms acting as refugia remains speculative. Here we analyse occurrence data, collected through a standardized sampling at 471 sampling points across the European ...
Mauro Gobbi, Barbara Valle, Mattia Brambilla, Duccio Tampucci, Marco Caccianiga   +4 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 Robust Densification Strategy Toward Ultrahigh Energy Density in All‐Organic Dielectric Polymer Films

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A scalable densification strategy is proposed by incorporating sucrose into a fluoropolymer matrix to build a robust hydrogen‐bond crosslinking network. The intermolecular interactions effectively facilitate polar phase transformation and reduce free volume fraction.
Lingni Yang, Wei Li, Chunran Wu, Qing Zhang, Fenglin Wang, Xingyu Chen, Haijun Mao, Zhuofeng Liu, Hu Ye, Yujiu Zhou, Fujia Chen, Weijun Zhang   +11 more
wiley   +1 more source

Assessing the Effect of Explicit Polarizability on Models of Carbon Dioxide Solvation in Ionic Liquids. [PDF]

ACS Omega
Huo Z, Smith LE, Goudy RJ, Ndiaye K, Kaiser S, Nikolov ME, Silva E, Parrack TA, Garrett-Roe S, Daly CA.   +9 more
europepmc   +1 more source

Cross‐Entropy of Power Spectral Density Function: A Modal Identification Framework

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The power spectral density (PSD) function of measured structural response contains a significant amount of information, including the modal parameters (natural frequencies, damping ratios). Output‐only system identification or modal identification technique can be used for extracting such modal parameters from the measured response or its ...
Su‐Hong Kim, Jae‐Seung Hwang, Dae‐Kun Kwon, Ahsan Kareem   +3 more
wiley   +1 more source

Research on Simulation of Fatigue Crack Growth in LNG Storage Tanks and Prediction of Residual Service Life. [PDF]

Materials (Basel)
Zhang Q, Yi X, Li Z, Zhou W, Liu J.
europepmc   +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

Determining a Gamma Knife's isocenter using a starburst shot. [PDF]

Med Phys
Corns R, Calistro-Allen K, Yang K, Jung J, Cao Y, Belcher W.   +5 more
europepmc   +1 more source

Flow Characteristics and Response Surface Methodology‐Based Pressure‐Loss Prediction Models for the Reverse Circulation Converter in Double‐Wall Drill Pipes

Energy Science &Engineering, EarlyView.
Flow characteristics and pressure loss mechanisms of a reverse circulation converter in dual‐wall drill pipes are systematically investigated using CFD and response surface methodology. The results reveal the dominant role of inertial dissipation and provide a predictive framework for optimizing converter design and operational parameters. ABSTRACT The
Mingming Geng, Hui Zhang, Junpeng Li, Baokang Wu, Geng Zhang, Xinrui Wang, Jintao An, Long Chen, Yiming Ma   +8 more
wiley   +1 more source