Results 211 to 220 of about 54,166 (309)

Intrinsic Mechanical Parameters and their Characterization in Solid‐State Lithium Batteries

open access: yesAdvanced 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

Subsurface Fracture Mapping in Adhesive Interfaces Using Terahertz Spectroscopy. [PDF]

open access: yesMaterials (Basel)
Singh M   +4 more
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Covalent Network Formation Rate Controls Depletion‐Induced Supramolecular Assembly in Hybrid Double Network Hydrogels

open access: yesAngewandte Chemie, EarlyView.
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

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

open access: yesAdvanced Intelligent Systems, EarlyView.
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

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

open access: yesAdvanced Intelligent Systems, EarlyView.
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

Interlaminar Fracture Toughness of Hybrid Composites with Non-Woven Tissue. 1st Report, Mode I Interlaminar Fracture Toughness.

open access: yesTRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A, 2001
Seung-Hwan LEE   +2 more
openaire   +2 more sources

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