Towards understanding and prediction of atmospheric corrosion of an Fe/Cu corrosion sensor via machine learning-Reference-Cited by-同舟云学术

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Towards understanding and prediction of atmospheric corrosion of an Fe/Cu corrosion sensor via machine learning

Published:2020-07 Issue: Volume:170 Page:108697
ISSN:0010-938X
Container-title:Corrosion Science
language:en
Short-container-title:Corrosion Science

Author:

Pei Zibo,Zhang Dawei,Zhi Yuanjie,Yang Tao,Jin Lulu,Fu Dongmei,Cheng Xuequn,Terryn Herman A.,Mol Johannes M.C.,Li Xiaogang

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

111 Program

BRI Southeast Asia Network for Corrosion and Protection

Publisher

Elsevier BV

Subject

General Materials Science,General Chemical Engineering,General Chemistry

Reference66 articles.

1. Share corrosion data;Li;Nature,2015

2. Cleaning costs for European sheltered white painted steel and modern glass surfaces due to air pollution since the year 2000;Grøntoft;Atmosphere,2019

3. Atmospheric corrosivity modeling—a review;Roberge;Mater. Des.,2002

4. Data mining to online galvanic current of zinc/copper internet atmospheric corrosion monitor;Shi;Corros. Sci.,2018

5. Long-term monitoring of atmospheric corrosion at weathering steel bridges by an electrochemical impedance method;Nishikata;Corros. Sci.,2014

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