Robotics & Machine Learning Daily News2024,Issue(Jul.3) :94-94.

Findings from TecNM Institute of Technology Broaden Understanding of Nanomateria ls (Machine-learning Driven Stm Images Prediction of Doped/defective Graphene: T owards Optimized Tools for 2d Nanomaterials Characterization)

TecNM技术研究所的发现拓宽了对纳米材料LS(机器学习驱动的掺杂/缺陷石墨烯Stm图像预测:二维纳米材料表征优化工具)的理解

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :94-94.

Findings from TecNM Institute of Technology Broaden Understanding of Nanomateria ls (Machine-learning Driven Stm Images Prediction of Doped/defective Graphene: T owards Optimized Tools for 2d Nanomaterials Characterization)

TecNM技术研究所的发现拓宽了对纳米材料LS(机器学习驱动的掺杂/缺陷石墨烯Stm图像预测:二维纳米材料表征优化工具)的理解

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摘要

《机器人与机器学习每日新闻-纳米技术新研究》的新闻记者兼新闻编辑撰写了一篇报告。根据NewsRx记者在Me Xico杜兰戈的新闻报道,研究表明,“扫描隧道显微镜(ST M)是一种关键的表征技术,它允许可视化纳米结构的特定特征,因为它能够揭示掺杂或缺陷位点中局部电荷密度的变化。除了从实际样品中获得STM数据外,还有理论途径,它允许在定义的纳米结构上从头计算模拟ST M图像。这项研究的财政支持来自国家科学和技术委员会(墨西哥CONAHCYT)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Nanotechnology - Nanomaterials is the subject of a report. According to news reporting originating in Durango, Me xico, by NewsRx journalists, research stated, “Scanning tunneling microscopy (ST M) is a key characterization technique that allows for visualization of specific features at nanostructures, given its ability to reveal changes in local charge densities in doping or defective sites. Besides the experimental acquisition of STM data from real samples, there is the theoretical route, which allows for ST M images simulation from ab-initio calculations on defined nanostructures.” Financial support for this research came from National Council of Science and Te chnology (CONAHCYT, Mexico).

Key words

Durango/Mexico/North and Central Ameri ca/Cyborgs/Emerging Technologies/Machine Learning/Nanomaterials/Nanostructu ral/Nanostructures/Nanotechnology/Scanning Tunneling Microscopy/TecNM Instit ute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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