Designing high elastic modulus magnesium-based composite materials via machine learning approach

Z Zhu, W Ning, X Niu, Q Wang, R Shi, Y Zhao - Materials Today …, 2023 - Elsevier
Abstracts Magnesium alloys, renowned for their lightweight characteristics, are widely
utilized in industries such as aerospace and automotive. However, the limited modulus of …

Prediction of electrochemical corrosion behavior of magnesium alloy using machine learning methods

A Moses, D Chen, P Wan, S Wang - Materials Today Communications, 2023 - Elsevier
The corrosion of magnesium (Mg) alloys is a major challenge in many industrial applications
because of their extreme reactivity, this greatly limits their applicability. The traditional …

Machine Learning in Enhancing Corrosion Resistance of Magnesium Alloys: A Comprehensive Review

Y Guo, M Sun, W Zhang, L Wang - Metals, 2023 - mdpi.com
While magnesium alloys have garnered attention for their lightweight properties across
diverse applications, their susceptibility to corrosion presents a formidable challenge …

Anticorrosion mechanism of natural acidic amino acids on steel in chloride solution: Experimental, theoretical and machine learning approaches

B Yang, Y Lv, Z Zhang, X He, Y Zhu - Journal of Building Engineering, 2023 - Elsevier
This paper investigates the corrosion inhibition of steel by two natural acidic amino acids,
glutamic acid and aspartic acid, in a 3.5 wt% NaCl solution. The anti-corrosion activity is …

机器学习在镁合金应用中的研究进展

吴铮, 李全安, 陈晓亚, 郑泽宇, 张娜娜, 王政 - 工程科学学报, 2024 - cje.ustb.edu.cn
在材料基因工程的背景下, 基于数据驱动的机器学习技术作为一种强大的新型工具在镁合金的
研究领域得到了广泛的关注. 机器学习可以绕过几乎任何复杂的实验过程 …

Predicting corrosion current density in magnesium alloy battery anodes: machine learning approach using rapid miner

R Radha - Canadian Metallurgical Quarterly, 2024 - Taylor & Francis
Magnesium (Mg) alloys are increasingly recognised for their potential as anode materials in
batteries due to their high specific capacity and cost-effectiveness. However, their …

Microstructural, mechanical, tribological, and corrosion behavior of ultrafine bio-degradable Mg/CeO2 nanocomposites: Machine learning-based modeling and …

S Deka, F Mozafari, A Mallick - Tribology International, 2023 - Elsevier
The present study investigated the microstructural, mechanical, tribological, and corrosion
behavior of near-dense and low-volume fraction magnesium-cerium dioxide (Mg/CeO 2)(x …