Results 51 to 60 of about 654 (167)

Triaxial Mechanical Behavior and Strength Model of Basalt Under Freeze–Thaw Cycling: Implications for Engineering Structures in Cold Regions

Applied Sciences
Previous freeze–thaw studies have mainly used uniaxial tests, leaving the effects of freeze–thaw damage and confinement on basalt behavior and physically interpretable triaxial strength estimation insufficiently resolved. Here, saturated basalt specimens
Bowen Li, Guan Rong, Maiyong Jiang
doaj   +1 more source

Climate Change is Rewriting the Hydroclimatic Operating Envelope of Mines

Advanced Science, EarlyView.
Climate change is shown to shift the hydroclimatic operating envelope of mines: 16.2% of represented mine locations have already changed Köppen subtype, rising to 42.5% by late century under SSP5‐8.5. Divergent water trajectories are filtered through geology, infrastructure and lifecycle stage, indicating that adaptation requires monitored, scenario ...
Haoxuan Yu, Izni Zahidi, Chow Ming Fai, Jilong Pan   +3 more
wiley   +1 more source

Instability mechanism of non-equal width coal pillar under cumulative effect of seismic rupture-triggered Coulomb stress

Meitan xuebao
To reveal the impact instability mechanism of irregularly wide coal pillars under the cumulative effect of coseismic stress triggered by high-energy microseismic events.
Yao YANG, Anye CAO, Songwei WANG, Xuesong WU, Yaoqi LIU, Qiaosheng SHI, Zujun LU, Qiang WANG, Jie LIU   +8 more
doaj   +1 more source

Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries

Advanced Energy Materials, EarlyView.
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang, Luca Weckelmann, Baolin Wu, Chih‐Long Tsai, Luc Raijmakers, Rüdiger‐A. Eichel, Anna Windmüller   +6 more
wiley   +1 more source

Failure Criteria of Gas-Infiltrated Sandy Shale Based on the Effective Stress Principle

Energies, 2016
Pore gas has a significant influence on rock strength. This study performed triaxial compression tests of gas-infiltrated sandy shale samples to investigate the strength characteristics under gas pressures of 0 and 2 MPa. The effective stress coefficient
Wenpu Li, Dongming Zhang, Minghui Li
doaj   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

Advanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong, Lejia Wang, Tianqing Zhu, Keith Butler, Sichao Li   +4 more
wiley   +1 more source

Peak strength characteristics and failure envelope model of unsaturated soils

Yantu gongcheng xuebao, 2020
The peak strengths and failure envelopes of unsaturated compacted soils are investigated via triaxial compression and uniaxial tensile tests over a wide range of water content.
XU Xiao 1, 2, CAI Guo-qing 2, LI Jian 2, ZHAO Chen-gang 2, 3, ZHAO Chun-lei 4
doaj   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

The Manifestation of the Electrochemical Potential Gradient in the Kinetic Landscapes of Interfacial Electrochemistry

Angewandte Chemie International Edition, EarlyView.
The overpotential constitutes an electrochemical potential difference at the solid–liquid interface, which can manifest itself in different ways. In general, it can not only drive the reaction along the reaction coordinate, but also modulate chemical potentials in the extended environment that shape activation barriers, without necessarily being a ...
Sebastian Z. Oener, Caroline J. Aschendorf, Jody Druce, Francisco Sarabia, Carlos Gomez Rodellar, Mathieu Lizée, Alex Ricardo Silva Olaya, Soumyadip Mondal, Raquel Anastacio Amaral, Hađer Sinanović, Beatriz Roldan Cuenya   +10 more
wiley   +1 more source