Robotics & Machine Learning Daily News2024,Issue(Dec.4) :161-161.

Report Summarizes Machine Learning Study Findings from Anhui University of Techn ology (Advances In the Application of Machine Learning To Boiling Heat Transfer: a Review)

安徽工业大学机器学习研究成果综述(机器学习在沸腾传热学中的应用进展综述)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :161-161.

Report Summarizes Machine Learning Study Findings from Anhui University of Techn ology (Advances In the Application of Machine Learning To Boiling Heat Transfer: a Review)

安徽工业大学机器学习研究成果综述(机器学习在沸腾传热学中的应用进展综述)

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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-调查人员发布马学习的新报告。根据消息来源来自中华人民共和国安徽,由NewsRx记者报道,“沸腾传热,”其中一种最常用、最有效的散热方法,广泛应用于建筑行业,对建筑节能具有重要意义冷却芯片等电子部件。强化传热是博力天然气传热研究的关键改善其传热性能e,其典型特征是复杂的物理现象。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news originatingfrom Anhui, People’s Republic of C hina, by NewsRx correspondents, research stated, “Boiling heat transfer,one of the most common and effective heat dissipation methods, is prevalent in industri es and crucial forcooling electronic components such as chips. The key to boili ng heat transfer research lies in enhancingimprove its heat transfer performanc e, which is typically characterized by complex physical phenomena.”

Key words

Anhui/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Anhui University of Technolog y

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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