Robotics & Machine Learning Daily News2024,Issue(Jun.28) :118-119.

Huazhong University of Science and Technology Reports Findings in Nanostructures (Machine Learning-Powered Ultrahigh Controllable and Wearable Magnetoelectric P iezotronic Touching Device)

华中科技大学发表纳米结构研究报告(机器学习驱动的超高可控耐磨磁电光电触摸装置)

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :118-119.

Huazhong University of Science and Technology Reports Findings in Nanostructures (Machine Learning-Powered Ultrahigh Controllable and Wearable Magnetoelectric P iezotronic Touching Device)

华中科技大学发表纳米结构研究报告(机器学习驱动的超高可控耐磨磁电光电触摸装置)

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摘要

《机器人与机器学习每日新闻-纳米技术的新研究-纳米结构》的新闻记者兼编辑是一篇报道的主题。根据NewsRx记者来自中华人民共和国武汉的新闻报道,研究表明:“纳米材料的最新进展使纳米技术能够应用于尖端传感和驱动装置的开发。例如,纳米结构对各种刺激的集体和可预测的反应可以被监测以确定纳米材料的物理环境,例如温度或施加压力。”我们的新闻编辑从华中科技大学的研究中得到一句话:“为了获得最佳的传感和驱动能力,纳米结构应该是可控的。”目前的应用受到控制纳米结构的固有挑战的限制,这些结构抵消了依赖于它们的面积或间隔的大多数传感机制。本文提出了一种利用纳米颗粒的压磁电性质来实现弹性和耐磨损贴片中的应变传感和驱动的技术。利用退磁场实现了纳米颗粒的吸收,并通过计算机模拟来确认器件在各种类型下的特性。d Eformation,然后是实验演示。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Nanotechnology - Nanostructures i s the subject of a report. According to news reporting originating from Wuhan, P eople’s Republic of China, by NewsRx correspondents, research stated, “Recent ad vancements in nanomaterials have enabled the application of nanotechnology to th e development of cutting-edge sensing and actuating devices. For instance, nanos tructures’ collective and predictable responses to various stimuli can be monito red to determine the physical environment of the nanomaterial, such as temperatu re or applied pressure.” Our news editors obtained a quote from the research from the Huazhong University of Science and Technology, “To achieve optimal sensing and actuation capabiliti es, the nanostructures should be controllable. However, current applications are limited by inherent challenges in controlling nanostructures that counteract ma ny sensing mechanisms that are reliant on their area or spacing. This work prese nts a technique utilizing the piezo-magnetoelectric properties of nanoparticles to enable strain sensing and actuation in a flexible and wearable patch. The ali gnment of nanoparticles has been achieved using demagnetization fields with comp utational simulations confirming device characteristics under various types of d eformation followed by experimental demonstrations.”

Key words

Wuhan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Nanoparticles/Nanostructural/Nanostructures/Nanotechnology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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