Results 111 to 120 of about 40,198 (236)

Thermal‐induced fracture evolution and acoustic signature of Beishan granite: Insights into tensile strength of barrier system for high‐level radioactive waste disposal

open access: yesDeep Underground Science and Engineering, EarlyView.
The tensile strength of granite, a proposed host for nuclear waste, degrades severely above 400°C. We link this to specific microcracking patterns captured by acoustic emission, establishing a scientific basis for assessing repository safety under thermal load.
Wei Zeng   +7 more
wiley   +1 more source

AFES Circular 135 [PDF]

open access: yes, 2010
Van Veldhuizen, Bob
core  

High‐Adhesion Quadruple Hydrogen‐Bonded Ionogels: A Dual‐Function Platform for Gesture Recognition and Real‐Time NH3 Detection in Multiscenario

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Quadruple hydrogen‐bonded high‐adhesion ionogels for gesture recognition and real‐time NH3 sensing. Ionogels have garnered significant attention in flexible sensing due to their outstanding mechanical properties, conductivity, and stability. However, establishing a robust and stable adhesive interface with various substrates remains a significant ...
Haohao Lin   +7 more
wiley   +1 more source

Altered neurostructural development in magnetic resonance imaging‐negative pediatric epilepsy: A large‐scale multicenter study of 1919 children

open access: yesEpilepsia, EarlyView.
Abstract Objective Addressing the poorly understood impact of pediatric epilepsy on neurodevelopment, this large‐scale study delineates age‐ and sex‐stratified neurostructural trajectories in magnetic resonance imaging (MRI)‐negative pediatric epilepsy to identify periods of maximal developmental divergence from healthy controls.
Yingfan Wang   +10 more
wiley   +1 more source

A Hybrid Fuzzy–Support Vector Machine Framework for Real‐Time Dust Detection and Thermal Mapping in Photovoltaic Panels

open access: yesEnergy Science &Engineering, EarlyView.
A hybrid Fuzzy–SVM framework for real‐time dust detection and thermal mapping in PV panels. ABSTRACT Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi‐arid regions. While existing studies have separately explored image‐based dust detection, environmental modeling, and machine learning (
Debasish Sarker   +4 more
wiley   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

open access: yesEnergy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen   +4 more
wiley   +1 more source

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