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RESEARCH PAPER · Colloids and Surfaces A Physicochemical and Engineering Aspects · 2023

Machine learning-based prediction of pitting corrosion resistance in stainless steels exposed to chloride environments

Chunyu Qiao, Hong Luo, Xuefei Wang, Hongxu Cheng, Da Bi, Xiaogang Li

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Machine learning-based prediction of pitting corrosion resistance in stainless steels exposed to chloride environmentsOriginalAdvanced Corrosion Pattern Recognition and Pipeline System Lifespan Prediction Through High-Throughput Data1A Comparative Analysis of Machine Learning Techniques for Predicting the Wear Rate of Ceramic Coated Steel16Machine Learning-Based Prediction of Intergranular Corrosion Resistance in Austenitic Stainless Steels Exposed to Various Heat Treatments6Machinability study on abrasive waterjet drilling of YSZ-coated inconel 718 superalloy: optimization and modelling by machine learning2Data mining accelerated the design strategy of high‐entropy alloys with the largest hardness based on genetic algorithm optimization22Corrosion protective and antibacterial epoxy coating via benzyldisulfide‑sulfur-doped graphene oxide with machine-learning simulation support6Machine learning-assisted prediction and interpretation of electrochemical corrosion behavior in high-entropy alloys29Machine learning based prediction of Young's modulus of stainless steel coated with high entropy alloys9Intelligent corrosion analysis and life prediction of ductile iron pipe systems using machine learning and electrochemical sensors20Predicting corrosion current density in magnesium alloy battery anodes: machine learning approach using rapid miner2Adiantum Capillus-Veneris Extract as a Sustainable Inhibitor to Mitigate Corrosion in Acid Solutions: Experimental, Machine-Learning Simulation, and Multiobjective Optimization5Corrosive behavior of austenitic stainless steel 321 in environments containing ammonium chloride1Utilization of Ensemble Techniques in Machine Learning to Predict the Porosity and Hardness of Plasma-Sprayed Ceramic Coating6State-of-the-art progress on artificial intelligence and machine learning in accessing molecular coordination and adsorption of corrosion inhibitors16Insights into the high-temperature oxidation and electrochemical corrosion behavior of Si alloyed TiAl alloys and the prediction of corrosion behavior using machine learning approaches15Interpretable material descriptors for critical pitting temperature in austenitic stainless steel via machine learning4Influence of Shrinkage Defects on Corrosion Behavior and Mechanism of Ductile Iron Pipe0Data-driven electrochemical behavior prediction for refractory high-entropy alloys by global and focused learning5Corrosion performance prediction of self-healing smart coatings on AZ31 magnesium alloys using feedforward neural network1Investigation of localized corrosion behavior in a copper-stainless steel curved surface coupling system in chloride-containing acidic environments using wire beam electrode techniques7Leaking of 316L stainless steel heat exchanger tubes in carbon dioxide process0Machine learning-based prediction of corrosion resistance in pulse electrodeposited coatings0Modeling pitting corrosion in stainless steels: A comprehensive review3Wear maps derived from thermodynamic principles0A review of corrosion mechanisms, passive film dynamics, and material design strategies for stainless steels in seawater environments0Atomic-Scale Insights into Corrosion-Resistant Stainless Steels via First-Principles Calculations: A Review0

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26 direct citing papers saved.

  1. Advanced Corrosion Pattern Recognition and Pipeline System Lifespan Prediction Through High-Throughput Data

    SSRN Electronic Journal · 2023-01-01

    Bingqin Wang, Yongfeng Chen, Lingsheng Zhu, Chao Liu, Xuequn Cheng, Dawei Zhang, Xiaogang Li

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  2. A Comparative Analysis of Machine Learning Techniques for Predicting the Wear Rate of Ceramic Coated Steel

    IEEE Access · 2024-01-01

    Nachimuthu Radhika, M. Sabarinathan, S. Sivaraman

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  3. Machine Learning-Based Prediction of Intergranular Corrosion Resistance in Austenitic Stainless Steels Exposed to Various Heat Treatments

    Journal of The Institution of Engineers (India) Series D · 2024-03-17

    Surjan Sheik, Raffi Mohammed, Kiran Teeparthi, Y. Raghuvamsi

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  4. Machinability study on abrasive waterjet drilling of YSZ-coated inconel 718 superalloy: optimization and modelling by machine learning

    Engineering Research Express · 2024-05-29

    Mahalingam Siva Kumar, Lenin Nagarajan, Balaji Vasudevan

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  5. Data mining accelerated the design strategy of high‐entropy alloys with the largest hardness based on genetic algorithm optimization

    Materials Genome Engineering Advances · 2024-06-01

    Xianzhe Jin, Hong Luo, Xuefei Wang, Hongxu Cheng, Chunhui Fan, Xiaogang Li, Xiongbo Yan

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  6. Corrosion protective and antibacterial epoxy coating via benzyldisulfide‑sulfur-doped graphene oxide with machine-learning simulation support

    Progress in Organic Coatings · 2024-06-15

    Sima Amanian, Sepideh Akbaripoor Tafreshi Nejad, S. Amoozadeh, Bahram Ramezanzadeh, Seyyed Arash Haddadi, Seyed Masoud Etezad, Alireza Mahmoudi Nahavandi, Mohammad Mahdavian

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  7. Machine learning-assisted prediction and interpretation of electrochemical corrosion behavior in high-entropy alloys

    Computational Materials Science · 2024-07-28

    Yun Ling Zou, Jiahao Qian, Xu Wang, Songlin Li, Yang Li, Yang Li

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  8. Machine learning based prediction of Young's modulus of stainless steel coated with high entropy alloys

    Results in Materials · 2024-07-29

    Nachimuthu Radhika, M. Sabarinathan, Sundaram Ragunath, Adeolu Adesoji Adediran, Tien‐Chien Jen

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  9. Intelligent corrosion analysis and life prediction of ductile iron pipe systems using machine learning and electrochemical sensors

    Journal of Materials Research and Technology · 2024-09-12

    Bingqin Wang, Long Zhao, Yongfeng Chen, Lingsheng Zhu, Chao Liu, Xuequn Cheng, Xiaogang Li

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  10. Predicting corrosion current density in magnesium alloy battery anodes: machine learning approach using rapid miner

    Canadian Metallurgical Quarterly · 2024-11-07

    R. Radha

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  11. Adiantum Capillus-Veneris Extract as a Sustainable Inhibitor to Mitigate Corrosion in Acid Solutions: Experimental, Machine-Learning Simulation, and Multiobjective Optimization

    Langmuir · 2024-12-04

    Mahya Olfatmiri, Mohammad Bagher Gholivand, Mohammad Mahdavian, Alireza Mahmoudi Nahavandi

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  12. Corrosive behavior of austenitic stainless steel 321 in environments containing ammonium chloride

    REM - International Engineering Journal · 2025-01-01

    Jancler Adriano Pereira Nicácio, Vanessa de Freitas Cunha Lins

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  13. Utilization of Ensemble Techniques in Machine Learning to Predict the Porosity and Hardness of Plasma-Sprayed Ceramic Coating

    IEEE Access · 2025-01-01

    Nachimuthu Radhika, M. Sabarinathan, S. Sivaraman

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  14. State-of-the-art progress on artificial intelligence and machine learning in accessing molecular coordination and adsorption of corrosion inhibitors

    Applied Physics Reviews · 2025-01-06

    Taiwo Wasiu Quadri, Ekemini Daniel Akpan, Saheed Eluwale Elugoke, Lukman Olawale Olasunkanmi, Sheetal, Ashish Kumar Singh, Balaram Pani, Jaya Tuteja, Sudhish Kumar Shukla, Chandrabhan Verma, Hassane Lgaz, Valentine Chikaodili Anadebe, Rakesh Chandra Barik, Lei Guo, Akram M. Alfantazi, Bakang Moses Mothudi, Eno Effiong Ebenso

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  15. Insights into the high-temperature oxidation and electrochemical corrosion behavior of Si alloyed TiAl alloys and the prediction of corrosion behavior using machine learning approaches

    Journal of Alloys and Compounds · 2025-02-01

    Y. Garip, O. Ozdemir

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  16. Interpretable material descriptors for critical pitting temperature in austenitic stainless steel via machine learning

    npj Materials Degradation · 2025-02-19

    Faguo Hou, Hong‐Hui Wu, Dexin Zhu, Jinyong Zhang, Liudong Hou, Shuize Wang, Guilin Wu, Junheng Gao, Jing Ma, Xinping Mao

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  17. Influence of Shrinkage Defects on Corrosion Behavior and Mechanism of Ductile Iron Pipe

    Unknown journal · 2025-03-14

    Chao Liu, Xiaogang Li

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  18. Data-driven electrochemical behavior prediction for refractory high-entropy alloys by global and focused learning

    Materials & Design · 2025-06-12

    Xinpeng Zhao, Haiyou Huang, Yanjing Su, Lijie J. Qiao, Yu Jing Yan

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  19. Corrosion performance prediction of self-healing smart coatings on AZ31 magnesium alloys using feedforward neural network

    Corrosion Engineering Science and Technology The International Journal of Corrosion Processes and Corrosion Control · 2025-07-02

    J. Alias, Mohd Firdaus Hassan, Nasrul Azuan Alang

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  20. Investigation of localized corrosion behavior in a copper-stainless steel curved surface coupling system in chloride-containing acidic environments using wire beam electrode techniques

    Surface Science and Technology · 2025-07-29

    Qingdong Zhong, Xuemei Wang

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  21. Leaking of 316L stainless steel heat exchanger tubes in carbon dioxide process

    Scientific Reports · 2025-10-07

    Manar Mansour, Waleed A. Khalifa

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  22. Machine learning-based prediction of corrosion resistance in pulse electrodeposited coatings

    Colloids and Surfaces A Physicochemical and Engineering Aspects · 2025-12-13

    Shaik Merkatur Hakim Marjuban, Ulises Martin, Andy Nowasielski, Rishi Gupta, Homero Castaneda

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  23. Modeling pitting corrosion in stainless steels: A comprehensive review

    Materials Today Communications · 2026-02-01

    J. Escobedo, FA Godínez, L.E. Muro, Rodrigo Montoya

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  24. Wear maps derived from thermodynamic principles

    Wear · 2026-04-02

    K. P. Lijesh, M. M. Khonsari

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  25. A review of corrosion mechanisms, passive film dynamics, and material design strategies for stainless steels in seawater environments

    Journal of Materials Research and Technology · 2026-09-26

    Hong-Yuan Chen, Jingyu Liu, Hong-Yu Yang, Bai-Xin Dong, Bin-Bin Wang, Lin Liu, Fang Chang, Shi-Li Shu, De‐Li Chen, Feng Qiu, Fang-Jie Shi, Lei Shen, Shuo Wang, Qi-Chuan Jiang

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  26. Atomic-Scale Insights into Corrosion-Resistant Stainless Steels via First-Principles Calculations: A Review

    Surfaces and Interfaces · 2026-10-01

    Yanshaozuo Zhu, Chunting Wang, Xuecheng Li, Tianlong Lian, Mujun Long, Huamei Duan, Yandong Li, Feng Qiu

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