Results 221 to 230 of about 96,970 (315)
Intrinsic Mechanical Parameters and their Characterization in Solid‐State Lithium Batteries
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.This review focuses on the intrinsic mechanical parameters and their associated characterization in solid‐state batteries. The physical significance of mechanics parameters is introduced with exhaustive classifications by elastic, plastic deformations and fracture in bulk, adhesion, friction at interfaces, and mechanical fatigue in cells ...
Shuai Hao +5 more
wiley +1 more source
Short Fatigue-Crack Growth from Crack-like Defects under Completely Reversed Loading Predicted Based on Cyclic R-Curve. [PDF]
Materials (Basel)Tanaka K, Akiniwa Y.
europepmc +1 more source
Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries
Advanced Energy Materials, EarlyView.Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi +3 more
wiley +1 more source
Redefining Crystalline Silicon: Unlocking New Horizons in Transparent and Flexible Photovoltaics
Advanced Energy Materials, EarlyView.Crystalline silicon is presented as a platform for transparent and flexible photovoltaics. This review article outlines design principles for optical strategies to fabricate transparent silicon solar cells, mechanical strategies that mitigate silicon brittleness, and emerging concepts such as singlet‐fission spectral conversion and tandem architectures,
Kangmin Lee
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
Unusual Fatigue Crack Growth Behavior of Long Cracks at Low Stress Intensity Factor Ranges. [PDF]
Materials (Basel)Kujawski D, Vasudevan AK.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Advanced Intelligent Systems, EarlyView.Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
The Study on Fatigue Crack Growth Rate of 4130X Material under Different Hydrogen Corrosion Conditions. [PDF]
Materials (Basel)Jiang S, Wang J, Zhao B, Zhang E.
europepmc +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT Diagnoses of autism spectrum disorder in Australia have increased considerably in recent years. The current study investigated how the National Disability Insurance Scheme (NDIS) impacts quality of life (QoL) among carers of children with autism spectrum disorder.
Jesse Gerhard, Sharon L. Grant
wiley +1 more source