Results 211 to 220 of about 54,166 (309)
Mechanical Performance and Failure Modes of High-Strength Adhesives in Aluminum Adherend Joints for Aerospace Applications. [PDF]
Hou B, Jia L, Zhang L, Xu B, Hou J.
europepmc +1 more source
Intrinsic Mechanical Parameters and their Characterization in Solid‐State Lithium Batteries
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
Subsurface Fracture Mapping in Adhesive Interfaces Using Terahertz Spectroscopy. [PDF]
Singh M +4 more
europepmc +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Tuning the rate of covalent network formation in hybrid double network hydrogels regulates whether supramolecular filaments retain their low‐nm structures or depletion‐induced supramolecular assembly takes place forming bundles. This kinetic handle programs the mesoscale architecture and toughness of the hydrogels, establishing a link between ...
Mertcan Özel +7 more
wiley +2 more sources
Bridging experiments and defects' mechanics: a data-driven toolbox for configurational force analysis. [PDF]
Koko A +3 more
europepmc +1 more source
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov +8 more
wiley +1 more source
Synergistic Effects of Pre-Stretching and Aging Temperature on Precipitation Behavior and Damage Tolerance of an Al-Cu-Li Alloy. [PDF]
Lin B +10 more
europepmc +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Seung-Hwan LEE +2 more
openaire +2 more sources

