Machine learning-based predictions of yield strength for neutron-irradiated ferritic/martensitic steels
Author:
Funder
Indian Institute of Science
Publisher
Elsevier BV
Subject
Mechanical Engineering,General Materials Science,Nuclear Energy and Engineering,Civil and Structural Engineering
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Cited by 2 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
1. Establishing machine-learning approach for predicting outer-diametral strains in ferritic/martensitic (F/M) steel tubes during in-reactor neutron-irradiation creep experiments;Progress in Nuclear Energy;2024-12
2. Prediction of creep rupture life of ODS steels based on machine learning;Materials Today Communications;2024-03
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