Chemical Composition Optimization of Biocompatible Non-Equiatomic High-Entropy Alloys Using Machine Learning and First-Principles Calculations

Chemical Composition Optimization of Biocompatible Non-Equiatomic High-Entropy Alloys Using Machine Learning and First-Principles Calculations

Obtaining a suitable chemical composition for high-entropy alloys (HEAs) with superior mechanical properties and good biocompatibility is still a formidable challenge through conventional trial-and-error methods. Here, based on a large amount of experimental data, a machine learning technique may be...

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Bibliographic Details
Main Authors: Gengzhu Zhou, Zili Zhang, Renyao Feng, Wenjie Zhao, Shenyou Peng, Jia Li, Feifei Fan, Qihong Fang
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Symmetry
Subjects:
biocompatibility
first-principles calculation
high-entropy alloy
machine learning
mechanical properties
Online Access:https://www.mdpi.com/2073-8994/15/11/2029

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https://www.mdpi.com/2073-8994/15/11/2029

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