Funder
Science and Technology Bureau, Changsha
Changsha Science and Technology Project
Natural Science Foundation of Changzhou Municipality
Subject
Materials Chemistry,Mechanics of Materials,General Materials Science
Reference43 articles.
1. Towards understanding and prediction of atmospheric corrosion of a Fe/Cu corrosion sensor via machine learning;Pei;Corros. Sci.,2020
2. Grand challenges in metal corrosion and protection research;Raja;Front. Met. Alloy.,2022
3. Machine-learning-guided descriptor selection for predicting corrosion resistance in multi-principal element alloys;Roy;Mater. Degrad.,2022
4. Multilayer Perceptron Model for the prediction of corrosion rate of Aluminium Alloy 5083 in seawater via different training algorithms;Zulkifli;Earth Environ. Sci.,2021
5. Prediction and analysis of mechanical properties of low carbon steels using machine learning;Choudhury;J. Inst. Eng.,2022
Cited by
13 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献