Machine learning‐based analysis and prediction of the interfacial corrosion processes of copper cathode plates during the electrolytic production of copper powders-Reference-Cited by-同舟云学术

Machine learning‐based analysis and prediction of the interfacial corrosion processes of copper cathode plates during the electrolytic production of copper powders

Published:2022-01-02 Issue:5 Volume:73 Page:811-825
ISSN:0947-5117
Container-title:Materials and Corrosion
language:en
Short-container-title:Materials & Corrosion

Author:

Zhou Youzhi¹²³,Lin Pengcheng¹²³,Ke Xin¹²³,Hu Qiang¹⁴,Shi Qi¹²,Zhang Jingguo¹⁴,Wang Zhong¹²^ORCID,Wang Limin¹⁴

Affiliation:

1. Industrial Research Institute for Metal Powder Material, GRINM Group Beijing China

2. GRIPM Research Institute Co., Ltd., GRINM Group Beijing China

3. General Research Institute for Nonferrous Metals Beijing China

4. GRIPM Advanced Materials Co., Ltd. Beijing China

Publisher

Wiley

Subject

Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,Mechanical Engineering,Mechanics of Materials,Environmental Chemistry,Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,Mechanical Engineering,Mechanics of Materials,Environmental Chemistry,Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,Mechanical Engineering,Mechanics of Materials,Environmental Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/maco.202112977

Reference44 articles.

1. New copper complexes with bipyrazolic ligands: Synthesis, characterization and evaluation of the antibacterial and catalytic properties

2. Influence of mechanical and electrical load on a copper/copper-graphite sliding electrical contact

3. Measurement of Friction Surface and Wear Rate between a Carbon Graphite Brush and a Copper Ring

4. Microstructure, Mechanical and Wear Behaviors of Hot-Pressed Copper-Nickel-Based Materials for Diamond Cutting Tools

5. T.Chen presented atAESEE 2018 Zhuhai China2018.