JOURNAL ARTICLE

Prediction of electrochemical impedance spectroscopy of high-entropy alloys corrosion by using gradient boosting decision tree

Boxin WeiJin XuJingyu PangZheng HuangJiajun WuZheng CaiMengdi YanCheng Sun

Year: 2022 Journal:   Materials Today Communications Vol: 32 Pages: 104047-104047   Publisher: Elsevier BV
Keywords:
Dielectric spectroscopy Materials science Boosting (machine learning) Corrosion Gradient boosting Decision tree Electrical impedance Entropy (arrow of time) Alloy Electrochemistry Analytical Chemistry (journal) Machine learning Computer science Metallurgy Thermodynamics Random forest Chromatography Physical chemistry

Metrics

24
Cited By
2.97
FWCI (Field Weighted Citation Impact)
21
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

High Entropy Alloys Studies
Physical Sciences →  Engineering →  Mechanical Engineering
High-Temperature Coating Behaviors
Physical Sciences →  Engineering →  Aerospace Engineering
Corrosion Behavior and Inhibition
Physical Sciences →  Materials Science →  Materials Chemistry

Related Documents

JOURNAL ARTICLE

Corrosion prediction in complex environments using electrochemical impedance spectroscopy

D. C. Silverman

Journal:   Electrochimica Acta Year: 1993 Vol: 38 (14)Pages: 2075-2078
JOURNAL ARTICLE

Determination of Corrosion Types from Electrochemical Noise by Gradient Boosting Decision Tree Method

Qiushi LiJihui WangKe WangJing YuanXuteng XingXin LiuWenbin Hu

Journal:   International Journal of Electrochemical Science Year: 2019 Vol: 14 (2)Pages: 1516-1528
JOURNAL ARTICLE

Sales Prediction Optimization via Gradient Boosting Decision Tree

Yutian Shi

Journal:   Highlights in Science Engineering and Technology Year: 2023 Vol: 44 Pages: 121-128
JOURNAL ARTICLE

Drought classification using gradient boosting decision tree

Ali Danandeh Mehr

Journal:   Acta Geophysica Year: 2021 Vol: 69 (3)Pages: 909-918
© 2026 ScienceGate Book Chapters — All rights reserved.