Robotics & Machine Learning Daily News2024,Issue(Nov.29) :112-112.

Study Findings on Machine Learning Are Outlined in Reports from Hunan University (Revealing the correlation between asymmetric structure and low thermal conduct ivity in Janus-graphene via machine learning force constant potential)

湖南大学的报告概述了机器学习的研究结果(通过机器学习力恒电位揭示了janus-graphene中不对称结构与低导热系数之间的关系)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :112-112.

Study Findings on Machine Learning Are Outlined in Reports from Hunan University (Revealing the correlation between asymmetric structure and low thermal conduct ivity in Janus-graphene via machine learning force constant potential)

湖南大学的报告概述了机器学习的研究结果(通过机器学习力恒电位揭示了janus-graphene中不对称结构与低导热系数之间的关系)

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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每日新闻-调查人员发布关于人工智能的新报告。根据新闻报道来自湖南大学新闻Rx记者的研究称,“了解基本环节”结构与功能化之间的关系对于功能材料的设计和优化至关重要,因为不同的结构构型可以激发材料表现出不同的物理和化学属性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingfrom Hunan University by News Rx journalists, research stated, “Understanding the fundamental linkbetween str ucture and functionalization is crucial for designing and optimizing functional materials, sincedifferent structural configurations could trigger materials to demonstrate diverse physical and chemicalproperties.”

Key words

Hunan University/Cyborgs/Emerging Tech nologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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