Reports from National University of Science & Technology MISiS Adv ance Knowledge in Machine Learning (Analysis of Stability and Mechanical Propert ies of Al-cr-fe-co-ni-cu Hea Based On Machine Learning)

国立科技大学机器学习前沿知识报告(基于机器学习的al-cr-fe-co-ni-cu合金稳定性和力学性能分析)

Robotics & Machine Learning Daily News2024，Issue(Nov.22) ：38-39.

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Reports from National University of Science & Technology MISiS Adv ance Knowledge in Machine Learning (Analysis of Stability and Mechanical Propert ies of Al-cr-fe-co-ni-cu Hea Based On Machine Learning)

国立科技大学机器学习前沿知识报告(基于机器学习的al-cr-fe-co-ni-cu合金稳定性和力学性能分析)

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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新报告。根据新闻报道来自俄罗斯莫斯科，由NewsRx记者报道，研究称，“机器学习(ML)”本文提出了一种用于预测复杂高熵合金(HEA-s)行为的原子间势含有铝、铬、铁、钴、镍和铜。该ML势精确地再现了DFT计算，允许广泛的分子动力学模拟。

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 reportingoriginating from Moscow, Russia, by NewsRx correspondents, research stated, “A machine learning (ML)interatomic pot ential was developed to predict the behavior of complex high-entropy alloys (HEA s)containing Al, Cr, Fe, Co, Ni, and Cu. This ML potential accurately reproduce s DFT calculations,allowing for extensive molecular dynamics simulations.”

Key words

Moscow/Russia/Cyborgs/Emerging Techno logies/Machine Learning/National University of Science & Technol ogy MISiS

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出版年

2024

Robotics & Machine Learning Daily News

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