Robotics & Machine Learning Daily News2024,Issue(Jun.14) :9-10.

Study Data from Indian Institute of Technology Update Knowledge of Machine Learn ing (Multi-objective Optimization and Machine Learning Assisted Design and Synthesis of Magnesium Based Novel Non-equiatomic Medium Entropy Alloy)

印度理工学院的研究数据更新机器学习知识(镁基新型非等原子介质熵合金的多目标优化和机器学习辅助设计与合成)

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :9-10.

Study Data from Indian Institute of Technology Update Knowledge of Machine Learn ing (Multi-objective Optimization and Machine Learning Assisted Design and Synthesis of Magnesium Based Novel Non-equiatomic Medium Entropy Alloy)

印度理工学院的研究数据更新机器学习知识(镁基新型非等原子介质熵合金的多目标优化和机器学习辅助设计与合成)

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摘要

由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx e Ditors在印度新德里的新闻报道,研究表明:“非等原子成分复杂合金由于其独特的性能组合,包括高强度、良好的延展性、优异的热稳定性和抗腐蚀性能而引起了人们的极大关注。非等原子成分在加工机械、热机械、磁机械、机械等方面提供了灵活性。”满足特定应用要求的生物医学和其他功能特性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting out of New Delhi, India, by NewsRx e ditors, research stated, “Non equiatomic compositionally complex alloys have gai ned significant attention due to their unique combinations of properties includi ng high strength, good ductility, excellent thermal stability and corrosion resi stance. The non equiatomic compositions provide flexibility in tailoring the mec hanical, thermal, magnetic, biomedical and other functional properties to meet t he specific application requirements.”

Key words

New Delhi/India/Asia/Cyborgs/Emerging Technologies/Machine Learning/Indian Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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