Robotics & Machine Learning Daily News2024,Issue(Nov.20) :87-88.

Investigators at University of Cambridge Describe Findings in Machine Learning ( Discovery of High-performance Dielectric Materials With Machine-learning-guided Search)

剑桥大学的研究人员描述了机器学习的发现(用机器学习引导的搜索发现高性能介电材料)

Robotics & Machine Learning Daily News2024,Issue(Nov.20) :87-88.

Investigators at University of Cambridge Describe Findings in Machine Learning ( Discovery of High-performance Dielectric Materials With Machine-learning-guided Search)

剑桥大学的研究人员描述了机器学习的发现(用机器学习引导的搜索发现高性能介电材料)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑在一份新的报告中介绍了机器学习的最新数据。根据新闻报道源于联合王国剑桥,由NewsRx记者撰写,研究称,“材料”由于介电常数高,在外加电场下极易极化,这使得它们在现代工业中是必不可少的电子设备然而,由于窄带GA PS降低了工作电压,限制了其应用在介质击穿之前。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Fresh data on Machine Learning are presented in a new report. According to news reportingoriginating from Cambridge, United King dom, by NewsRx correspondents, research stated, “Materialswith high dielectric constants polarize easily under external electric fields, making them essential in modernelectronics. However, their utility is often limited by narrow band ga ps, which reduce the operating voltagebefore dielectric breakdown.”

Key words

Cambridge/United Kingdom/Europe/Cybor gs/Emerging Technologies/Machine Learning/University of Cambridge

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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