Achieving excellent mechanical properties in CoNiCrMo multi-principal element alloys: A comprehensive approach integrating mean square atomic displacement and machine learning method

Name: Achieving excellent mechanical properties in CoNiCrMo multi-principal element alloys: A comprehensive approach integrating mean square atomic displacement and machine learning method
Creator: Yang Long
Published: 2025-01-20T15:18:06.054Z
Keywords: Materials Science, Computational Materials Science

Long, Yang; Fang, Wei; Yu, Haoyang; Peng, Tiexu; Li, Cong; Liu, Weiguang; Liu, Chang; Jia, Qinghe; Chen, Yushui; Li, Jia; Yin, Fuxing

doi:10.17632/jsxj22kcj7.1

Achieving excellent mechanical properties in CoNiCrMo multi-principal element alloys: A comprehensive approach integrating mean square atomic displacement and machine learning method

Published: 20 January 2025| Version 1 | DOI: 10.17632/jsxj22kcj7.1

Contributors:

Yang Long, Wei Fang, Haoyang Yu, Tiexu Peng, Cong Li, Weiguang Liu, Chang Liu, Qinghe Jia, Yushui Chen, Jia Li, Fuxing Yin

Description

The original dataset of CoNiCrMo multi-principal element alloys.

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Institutions

Hebei University of Technology

Funders

National Natural Science Foundation of China
China
Grant ID: 51701061
the Natural Science Foundation of Hebei Province
Grant ID: E2021202075
China Scholarship Council
China
Grant ID: 202106705003

Achieving excellent mechanical properties in CoNiCrMo multi-principal element alloys: A comprehensive approach integrating mean square atomic displacement and machine learning method

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