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RESEARCH PAPER · Scientific Reports · 2019

Design and Development of Lubricating Material Database and Research on Performance Prediction Method of Machine Learning

Dan Jia, Haitao Duan, Shengpeng Zhan, Yongliang Jin, Bingxue Cheng, Jian Li

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42 direct citing works

Design and Development of Lubricating Material Database and Research on Performance Prediction Method of Machine LearningOriginalPractice of Simulation and Life Cycle Assessment in Tribology—A Review31Tribo-informatics: Concept, architecture, and case study82A new lightweight online database for corrosion rate analysis of fluorochemical engineering processes0Accelerating materials discovery using machine learning238Differential root and shoot magnetoresponses in Arabidopsis thaliana31Modeling and classifying the in-operando effects of wear and metal contaminations of lubricating oil on diesel engine: A machine learning approach42Circulating biomarkers in the diagnosis and management of hepatocellular carcinoma320Material database for the mechanical design of components made of powder metallurgy material0Material database for the mechanical design of components made of powder metallurgy material0Lubrication Modelling of Artificial Joint Replacements: Current Status and Future Challenges16The Role of Machine Learning in Tribology: A Systematic Review137Introduction of Materials Genome Technology and Its Applications in the Field of Biomedical Materials11Design of New Dispersants Using Machine Learning and Visual Analytics6Evaluating Wear Volume of Oligoether Esters with an Interpretable Machine Learning Approach14Recent Progress of Machine Learning Algorithms for the Oil and Lubricant Industry29Multi-Objective-Based Intelligent Lubrication System Performance Evaluation Technology for Construction Machinery7Material database for the mechanical design of components made of powder metallurgy material0Hybrid functional materials and their applications2AI for tribology: Present and future85Bioinspired and Multifunctional Tribological Materials for Sliding, Erosive, Machining, and Energy-Absorbing Conditions: A Review78Biobased Epoxide Lubricants1Machine Learning in Wear Prediction37Machine learning assisted approximation of descriptors (CO and OH) binding energy on Cu-based bimetallic alloys4Prediction of Total Acid Number of Engine Oil Using Machine Learning Approach0Research and prediction of motor oil change interval for civilian cars0Evaluating energy efficiency in Turkish electric distribution using network DEA and GA models0A Comprehensive Review of Lubricant Behavior in Internal Combustion, Hybrid, and Electric Vehicles: Thermal Demands, Electrical Constraints, and Material Effects5Bayesian Optimization for Inverse Design of Pt-Au Films with Custom Friction Responses0

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  1. Practice of Simulation and Life Cycle Assessment in Tribology—A Review

    Materials · 2020-08-07

    Abdulaziz Kurdi, Nahla E. Alhazmi, Hatem Alhazmi, Thamer Tabbakh

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  2. Tribo-informatics: Concept, architecture, and case study

    Friction · 2020-11-05

    Zhinan Zhang, Nian Yin, Shi Chen, Chengliang Liu

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  3. A new lightweight online database for corrosion rate analysis of fluorochemical engineering processes

    International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS) · 2020-11-13

    Xiaoran Wei, Can Guo, Junxuan Zhu, Yifan Tong, Shouwen Shi, Kai Song

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  4. Accelerating materials discovery using machine learning

    Journal of Material Science and Technology · 2020-12-24

    Yongfei Juan, Yongbing Dai, Yang Yang, Jiao Zhang

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  5. Differential root and shoot magnetoresponses in Arabidopsis thaliana

    Scientific Reports · 2021-04-28

    Ivan A. Paponov, Judith Fliegmann, Ravishankar Narayana, Massimo Emilio Maffei

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  6. Modeling and classifying the in-operando effects of wear and metal contaminations of lubricating oil on diesel engine: A machine learning approach

    Expert Systems with Applications · 2022-05-06

    Mohammad Rahimi, Mohammad-Reza Pourramezan, Abbas Rohani

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  7. Circulating biomarkers in the diagnosis and management of hepatocellular carcinoma

    Nature Reviews Gastroenterology & Hepatology · 2022-06-08

    Philip James Johnson, Qing Xiao Zhou, Doan Y Dao, Yuk Ming Dennis Lo

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  8. Material database for the mechanical design of components made of powder metallurgy material

    Unknown journal · 2022-08-17

    Jiacheng Miao, Luhe Zhang, Zeying Li, Bingkui Chen

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  9. Material database for the mechanical design of components made of powder metallurgy material

    Unknown journal · 2022-08-29

    Jiacheng Miao, Luhe Zhang, Zeying Li, Bingkui Chen

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  10. Lubrication Modelling of Artificial Joint Replacements: Current Status and Future Challenges

    Lubricants · 2022-09-27

    Leiming Gao, Xianjiu Lu, Xiaogang Zhang, Qingen Meng, Zhongmin M. Jin

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  11. The Role of Machine Learning in Tribology: A Systematic Review

    Archives of Computational Methods in Engineering · 2022-11-01

    Uma Maheshwera Reddy Paturi, Sai Teja Palakurthy, N.S. Reddy

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  12. Introduction of Materials Genome Technology and Its Applications in the Field of Biomedical Materials

    Materials · 2023-02-25

    Yashi Qiu, Zhaoying Wu, Jiali Wang, Chao Zhang, Heye Zhang

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  13. Design of New Dispersants Using Machine Learning and Visual Analytics

    Polymers · 2023-03-06

    María Jimena Martínez, Roi Naveiro, Axel J. Soto, Pablo Talavante, Shin‐Ho Kim‐Lee, Ramón Goméz Arrayás, Mario Franco, Pablo Mauleón, Hector J.L. Ordoñez, Guillermo Revilla López, Marco Bernabei, Nuria Eugenia Campillo, Ignacio Ponzoni

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  14. Evaluating Wear Volume of Oligoether Esters with an Interpretable Machine Learning Approach

    Tribology Letters · 2023-03-18

    Hanwen Wang, Chunhua Zhang, Xiaowen Yu, Yangyang Li

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  15. Recent Progress of Machine Learning Algorithms for the Oil and Lubricant Industry

    Lubricants · 2023-07-10

    Md Hafizur Rahman, Sadat Shahriar, Pradeep L. Menezes

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  16. Multi-Objective-Based Intelligent Lubrication System Performance Evaluation Technology for Construction Machinery

    Applied Sciences · 2023-10-27

    Han Peng, Yike Chen, Linjian Shangguan, Ruixue Cheng, Yanchi Li, Can Yang

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  17. Material database for the mechanical design of components made of powder metallurgy material

    Unknown journal · 2023-12-12

    Jiacheng Miao, Luhe Zhang, Zeying Li, Bingkui Chen

    Read original paper ↗ ·

  18. Hybrid functional materials and their applications

    Elsevier eBooks · 2023-12-26

    Irfan Ul Hasan, Fatima Tuz Zohora, Md. Joynal Abedin, Md Zillur Rahman

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  19. AI for tribology: Present and future

    Friction · 2024-03-12

    Nian Yin, Pufan Yang, Songkai Liu, Shuaihang Pan, Zhinan Zhang

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  20. Bioinspired and Multifunctional Tribological Materials for Sliding, Erosive, Machining, and Energy-Absorbing Conditions: A Review

    Biomimetics · 2024-03-30

    Rahul Kumar, Mansoureh Rezapourian, Ramin Rahmani, Himanshu Singh Maurya, Nikhil Kamboj, Irina Hussainova

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  21. Biobased Epoxide Lubricants

    Unknown journal · 2024-07-01

    Akash Kumar, R. Gupta, Manish Rawat, Sahil Kohli

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  22. Machine Learning in Wear Prediction

    Journal of Tribology · 2024-10-14

    Raj Shah, Nikhil Pai, Gavin Thomas, Swarn Jha, Vikram Mittal, Khosro A. Shirvani, Hong Liang

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  23. Machine learning assisted approximation of descriptors (CO and OH) binding energy on Cu-based bimetallic alloys

    Physical Chemistry Chemical Physics · 2025-01-01

    Pallavi Dandekar, Aditya Singh Ambesh, Tuhin Suvra Khan, Shelaka Gupta

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  24. Prediction of Total Acid Number of Engine Oil Using Machine Learning Approach

    IEEE Access · 2025-01-01

    K. Rameshkumar, S. Srihari, R. B. Santhosh, R. Vaira Vignesh

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  25. Research and prediction of motor oil change interval for civilian cars

    Industrial Lubrication and Tribology · 2025-05-29

    Lixin Ma, Shengpeng Zhan, Lei Wei, Tian Yang, Jian Li, Haitao Duan, Wulin Zhang

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  26. Evaluating energy efficiency in Turkish electric distribution using network DEA and GA models

    Scientific Reports · 2025-07-01

    Serpil Aydin, Talat Şenel

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  27. A Comprehensive Review of Lubricant Behavior in Internal Combustion, Hybrid, and Electric Vehicles: Thermal Demands, Electrical Constraints, and Material Effects

    Lubricants · 2025-12-28

    Subin Antony Jose, Erick Perez-Perez, Terrence Silva, Kaden Syme, Zane Westom, Aidan Willis, Pradeep L. Menezes

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  28. Bayesian Optimization for Inverse Design of Pt-Au Films with Custom Friction Responses

    JOM · 2026-06-01

    Nathan Brown, David Montes de Oca Zapiain, Tomas F. Babuska, John Curry

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