Robotics & Machine Learning Daily News2024,Issue(Jun.10) :122-122.

Reports from Shanghai University Describe Recent Advances in Artificial Intellig ence (Rapid estimation of g’ solvus temperature for composition design of Ni-bas ed superalloy via physics-informed generative artificial intelligence)

上海大学的报告描述了人工智能的最新进展(通过物理信息生成人工智能快速估算镍基高温合金成分设计的g’溶解温度)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :122-122.

Reports from Shanghai University Describe Recent Advances in Artificial Intellig ence (Rapid estimation of g’ solvus temperature for composition design of Ni-bas ed superalloy via physics-informed generative artificial intelligence)

上海大学的报告描述了人工智能的最新进展(通过物理信息生成人工智能快速估算镍基高温合金成分设计的g’溶解温度)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-调查人员发布了关于人工智能的新报告。根据中华人民共和国上海的新闻报道,NewsRx记者的研究表明:“Ni基高温合金异常的高温力学性能主要源于12G’相,因此发现高G’溶解温度的Ni基高温合金至关重要。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news reporting from Shanghai, People’s Repub lic of China, by NewsRx journalists, research stated, “The exceptional high-temp erature mechanical properties of Ni-based superalloys are mainly stemmed from th e L12 g’ phase, therefore it is crucial to discover Ni-based superalloys with hi gh g’ solvus temperatures.”

Key words

Shanghai University/Shanghai/People’s Republic of China/Asia/Artificial Intelligence/Emerging Technologies/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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