Robotics & Machine Learning Daily News2024,Issue(Nov.12) :56-57.

Findings from Dalian University of Technology in Machine Learning Reported (Micr ostructure and Properties of Cu-3ti-0.3cr-0.15mg Alloy Designed Via Machine Lear ning)

大连工业大学机器学习研究报告(机器学习设计的Cu-3ti-0.3cr-0.15mg合金的组织与性能)

Robotics & Machine Learning Daily News2024,Issue(Nov.12) :56-57.

Findings from Dalian University of Technology in Machine Learning Reported (Micr ostructure and Properties of Cu-3ti-0.3cr-0.15mg Alloy Designed Via Machine Lear ning)

大连工业大学机器学习研究报告(机器学习设计的Cu-3ti-0.3cr-0.15mg合金的组织与性能)

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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-机器学习的新数据在一份新的报告中提供。据新闻报道NewsRx记者从中国人民共和国大连报道,研究称,"与随着信息技术的发展,机器学习(ML)在材料领域得到了广泛的应用科学。ML可以避免大量的试错实验,提高发现效率新材料。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsreporting from Dalian, People’s Republ ic of China, by NewsRx journalists, research stated, “With thedevelopment of in formation technology, machine learning (ML) has been widely applied in materialsscience. ML can avoid a multitude of trial and error experiments and improve th e efficiency of discoveringnew materials.”

Key words

Dalian/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Dalian University of Technol ogy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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