Results 151 to 160 of about 39,218 (293)

Adaptive Twisting Metamaterials

open access: yesAdvanced Materials, EarlyView.
This work introduces torque‐controlled twisting metamaterials as a transformative platform for adaptive crashworthiness. By combining multiscale predictive modeling with experimental validation on additively manufactured gyroids, it demonstrates tunable stiffness, collapse stress, and energy absorption.
Mattia Utzeri   +6 more
wiley   +1 more source

Working Out the New Algorithm Enciphered the Data with a Symmetric Key

open access: gold, 2016
Shukhratjon Umarov   +1 more
openalex   +1 more source

Neuromorphic Visual Receptive Field Hardware with Vertically Integrated Indium‐Gallium‐Zinc‐Oxide Optoelectronic Memristors over Silicon Neuron Transistors

open access: yesAdvanced Materials, EarlyView.
This work proposes neuromorphic visual receptive field hardware with vertically integrated amorphous In‐Ga‐Zn‐O optoelectronic memristors and Si neuron transistors for retina‐inspired visual processing. The visual receptive field array, comprising ON‐ and OFF‐type cells, facilitates edge detection, thereby enhancing perception in complex images, such ...
Hyun Wook Kim   +7 more
wiley   +1 more source

Manganese‐Based Spinel Cathodes: A Promising Frontier for Solid‐State Lithium‐Ion Batteries

open access: yesAdvanced Materials, EarlyView.
Mn‐based spinel cathodes LiMn2O4 (LMO) and LiNi0.5Mn1.5O4 (LNMO), with the unique characteristics of low cost, structural stability, and 3D Li‐ion diffusion channels, have presented great potential in all‐solid‐state batteries. Here, a comprehensive understanding and valuable insights into the rational design and implications for the future development
Yu Dou   +6 more
wiley   +1 more source

Learning Crystallographic Disorder: Bridging Prediction and Experiment in Materials Discovery

open access: yesAdvanced Materials, EarlyView.
Machine learning based computational materials discovery workflows have recently proposed thousands of potentially stable crystalline materials. However, the experimental realization of these predictions is often challenging because the models assume perfectly ordered structures.
Konstantin S. Jakob   +3 more
wiley   +1 more source

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