Machine learning driven multi-objective optimization and interpretability for corrosion-resistant multi-principal element alloys

Shiyun Dong; Chunhui Fan; Hong Luo; Hongxu Cheng; Xuefei Wang

doi:10.1016/j.electacta.2025.146685

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Machine learning driven multi-objective optimization and interpretability for corrosion-resistant multi-principal element alloys

Shiyun Dong Chunhui Fan Hong Luo Hongxu Cheng Xuefei Wang

Year: 2025 Journal: Electrochimica Acta Vol: 535 Pages: 146685-146685 Publisher: Elsevier BV

DOI: 10.1016/j.electacta.2025.146685

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Keywords:

Interpretability Corrosion Element (criminal law) Principal (computer security) Materials science Computer science Principal component analysis Artificial intelligence Metallurgy

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Hydrogen embrittlement and corrosion behaviors in metals

Physical Sciences → Materials Science → Metals and Alloys

High Entropy Alloys Studies

Physical Sciences → Engineering → Mechanical Engineering

Welding Techniques and Residual Stresses

Physical Sciences → Engineering → Mechanical Engineering

Machine learning driven multi-objective optimization and interpretability for corrosion-resistant multi-principal element alloys

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