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RESEARCH PAPER · Computational Materials Science · 2022

Improving prediction accuracy of high-performance materials via modified machine learning strategy

Wei Yong, Hongtao Zhang, Huadong Fu, Yaliang Zhu, Jie He, Jianxin Xie

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34 direct citing papers in this saved network. Explore the next layer with second-order citations.

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42 direct citing works

Improving prediction accuracy of high-performance materials via modified machine learning strategyOriginalCreep rupture life prediction of nickel-based superalloys based on data fusion38Data-driven modeling of an elastomer bushing system under various visco-hyperelastic deformations7Bayesian vs Evolutionary Optimisation in Exploring Pareto Fronts for Materials Discovery0Bayesian vs Evolutionary Optimisation in Exploring Pareto Fronts for Materials Discovery1Digital Model for Rapid Prediction of Die Forging Force and Forming Control of Aluminum Alloy Aviation Components0Mapping pareto fronts for efficient multi-objective materials discovery29Data‐Driven Design of Electrically Conductive Nanocomposite Materials: A Case Study of Acrylonitrile–Butadiene–Styrene/Carbon Nanotube Binary Composites9Estimator for generalization performance of machine learning model trained by biased data collected from multiple references17ADASYN-assisted machine learning for phase prediction of high entropy carbides40Machine learning-assisted design of Al2O3–SiO2 porous ceramics based on few-shot datasets20Hardness variation in cast-forging process of AZ80 magnesium alloys and its data-driven prediction3Elimination of experimentation cost and time by data analysis in mechanical property prediction of aluminum alloys4Alloy design for laser powder bed fusion additive manufacturing: a critical review117Extrapolative prediction of small-data molecular property using quantum mechanics-assisted machine learning70A novel design for refractory complex concentrated alloys based on multi-objective bi-level optimization7Machine Learning-Assisted Design of Advanced Polymeric Materials146Study of the novel boron nitride polymorphs: First- principles calculations and machine learning6Optimizing the mechanical performance of A356–Sc–Sr alloy via combining machine learning and mechanical stirring under vacuum12Optimal design of high‐performance rare‐earth‐free wrought magnesium alloys using machine learning17Transfer learning enables the rapid design of single crystal superalloys with superior creep resistances at ultrahigh temperature27Spatiotemporal characteristics of PM2.5 concentrations and responses to land-use change in Urumqi, China2Incorporating Recursive Feature Elimination and Decomposed Ensemble Modeling for Monthly Runoff Prediction9A machine learning strategy to achieve dual-synchronous property improvement of aviation Al-Cu-Mg alloy30Leveraging hybrid knowledge-based and data-driven modeling techniques for complex contact/impact phenomena6Digital model for rapid prediction and autonomous control of die forging force for aluminum alloy aviation components8Machine Learning-Enabled Parallel Prediction and Co-Design of Polyimides for Tailored Glass Transition, Dielectric, and Bandgap Properties10Design and properties of ultra-hard high-entropy alloys based on machine learning and statistical feature selection6Hierarchical regression approach for enhanced performance prediction of ammonia decomposition catalysts0Machine learning-driven design of polyimides with tailored dielectric constants4Evaluating the transfer learning from metals to oxides with GAME-Net-Ox2Compositional design of Ni-based superalloys for additive manufacturing: Progress and perspectives9The Role of AI and Advanced Computational Techniques in Transforming Shape Memory Alloy Research0Room-temperature-property anchoring for family-transfer prediction of high-temperature properties in low-alloy steels0Design of surface functionalized nanoparticle-filled epoxy coatings for balanced wear resistance and corrosion protection: Machine learning-assisted factor identification0

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34 direct citing papers saved.

  1. Creep rupture life prediction of nickel-based superalloys based on data fusion

    Computational Materials Science · 2022-06-06

    Yaliang Zhu, Fangmiao Duan, Wei Yong, Huadong Fu, Hongtao Zhang, Jianxin Xie

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  2. Data-driven modeling of an elastomer bushing system under various visco-hyperelastic deformations

    Computational Materials Science · 2022-08-12

    Amirmohammad Daareyni, Mostafa Baghani, Farshid Ghezelbash, Mohammad Reza Zakerzadeh

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  3. Bayesian vs Evolutionary Optimisation in Exploring Pareto Fronts for Materials Discovery

    Unknown journal · 2022-09-27

    Andre K. Y. Low, Eléonore Vissol-Gaudin, Yee‐Fun Lim, Kedar Hippalgaonkar

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  4. Bayesian vs Evolutionary Optimisation in Exploring Pareto Fronts for Materials Discovery

    Unknown journal · 2022-09-27

    Andre K. Y. Low, Eléonore Vissol-Gaudin, Yee‐Fun Lim, Kedar Hippalgaonkar

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  5. Digital Model for Rapid Prediction of Die Forging Force and Forming Control of Aluminum Alloy Aviation Components

    SSRN Electronic Journal · 2023-01-01

    Hao Hu, Fan Zhao, Daoxiang Wu, Wei Yong, Zhengan Wang, Jianxin Xie

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  6. Mapping pareto fronts for efficient multi-objective materials discovery

    Journal of Materials Informatics · 2023-01-01

    Andre K.Y. Low, Eléonore Vissol-Gaudin, Yee‐Fun Lim, Kedar Hippalgaonkar

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  7. Data‐Driven Design of Electrically Conductive Nanocomposite Materials: A Case Study of Acrylonitrile–Butadiene–Styrene/Carbon Nanotube Binary Composites

    Advanced Intelligent Systems · 2023-01-18

    Changrok So, Young‐Shin Kim, Jong Hyuk Park, Gwan-Yeong Kim, Daniel Cha, Jong Hwan Ko, Boseok Kang

    Read original paper ↗ ·

  8. Estimator for generalization performance of machine learning model trained by biased data collected from multiple references

    Computer-Aided Civil and Infrastructure Engineering · 2023-03-10

    Yuriko Okazaki, Shinichiro Okazaki, Shingo Asamoto, Toru Yamaji, Minoru Ishige

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  9. ADASYN-assisted machine learning for phase prediction of high entropy carbides

    Computational Materials Science · 2023-03-28

    Rahul Mitra, Anurag Bajpai, Krishanu Biswas

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  10. Machine learning-assisted design of Al2O3–SiO2 porous ceramics based on few-shot datasets

    Ceramics International · 2023-05-17

    Zhenhao Sun, Nanyan Hu, Lihua Ke, Yafei Lv, Yujie Liu, Yixuan Bai, Zhibing Ou, Jiangli Li

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  11. Hardness variation in cast-forging process of AZ80 magnesium alloys and its data-driven prediction

    Materials Today Communications · 2023-08-01

    Erfan Azqadan, Jared Uramowski, Mary A. Wells, Arash Arami, Hamid Jahed

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  12. Elimination of experimentation cost and time by data analysis in mechanical property prediction of aluminum alloys

    Materials Today Proceedings · 2023-09-01

    M. Arunadevi, Yashwanth H Koppal, Pradhyumnna M Vasista, Shanthala Kollur, Sairaj Patil, Chirag Lakshminarayana, A. Hameed

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  13. Alloy design for laser powder bed fusion additive manufacturing: a critical review

    International Journal of Extreme Manufacturing · 2023-12-15

    Zhuangzhuang Liu, Qihang Zhou, Xiaokang Liang, Xiebin Wang, Guichuan Li, Kim Vanmeensel, Jianxin Xie

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  14. Extrapolative prediction of small-data molecular property using quantum mechanics-assisted machine learning

    npj Computational Materials · 2024-01-10

    Hajime Shimakawa, Akiko Kumada, Masahiro Sato

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  15. A novel design for refractory complex concentrated alloys based on multi-objective bi-level optimization

    Computational Materials Science · 2024-04-15

    Ailin Yang, Lixian Lian, Yehang Chen, Wang Hu, Ying Liu

    Read original paper ↗ ·

  16. Machine Learning-Assisted Design of Advanced Polymeric Materials

    Accounts of Materials Research · 2024-04-16

    Liang Gao, Jiaping Lin, Liquan Wang, Lei Du

    Read original paper ↗ ·

  17. Study of the novel boron nitride polymorphs: First- principles calculations and machine learning

    Chinese Journal of Physics · 2024-04-24

    Qingyang Fan, Wenjiao Li, Nan Chun Wu, Yingbo Zhao, Yanxing Song, Xinhai Yu, Sining Yun

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  18. Optimizing the mechanical performance of A356–Sc–Sr alloy via combining machine learning and mechanical stirring under vacuum

    Materials Characterization · 2024-05-24

    Shuai Pan, Jingming Zheng, Shuancheng Meng, Yu Wang, Ying Fu, Minqiang Gao, Renguo Guan

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  19. Optimal design of high‐performance rare‐earth‐free wrought magnesium alloys using machine learning

    Materials Genome Engineering Advances · 2024-05-31

    Shaojie Li, Zaixing Dong, Jianfeng Jin, Hucheng Pan, Zongqing Hu, Rui Hou, Gaowu W. Qin

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  20. Transfer learning enables the rapid design of single crystal superalloys with superior creep resistances at ultrahigh temperature

    npj Computational Materials · 2024-07-14

    Fan Yang, Wenyue Zhao, Yi Ru, Siyuan Lin, Jiapeng Huang, Boxuan Du, Yanling Pei, Shusuo Li, Shengkai Gong, Huibin Xu

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  21. Spatiotemporal characteristics of PM2.5 concentrations and responses to land-use change in Urumqi, China

    Journal of Applied Remote Sensing · 2024-08-06

    Zifan Rong, Nurmemet Erkin, Junqian Ma, Mikhezhanisha Asimu, Yejiong Pan, Batur Bake, Maimaiti Simayi

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  22. Incorporating Recursive Feature Elimination and Decomposed Ensemble Modeling for Monthly Runoff Prediction

    Water · 2024-10-29

    Wei Ma, Zhang Xiao, Xiao Zhang, Yu Shen, Jiancang Xie, Ganggang Zuo, Xu Zhang, Xu Zhang, Tao Jin

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  23. A machine learning strategy to achieve dual-synchronous property improvement of aviation Al-Cu-Mg alloy

    Journal of Material Science and Technology · 2025-05-29

    Hao Hu, Fan Zhao, Wei Yong, Lei Jiang, Zhihao Zhang, Jianxin Xie

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  24. Leveraging hybrid knowledge-based and data-driven modeling techniques for complex contact/impact phenomena

    Mechanism and Machine Theory · 2025-07-07

    Jia Ma, Can Luo, Kexian Li, Menghao Bai, Shuai Dong, Lairong Yin

    Read original paper ↗ ·

  25. Digital model for rapid prediction and autonomous control of die forging force for aluminum alloy aviation components

    International Journal of Minerals Metallurgy and Materials · 2025-09-01

    Hao Hu, Fan Zhao, Daoxiang Wu, Zhengan Wang, Zhilei Wang, Zhihao Zhang, Zhilei Wang, Zhihao Zhang, Weidong Li, Jianxin Xie

    Read original paper ↗ ·

  26. Machine Learning-Enabled Parallel Prediction and Co-Design of Polyimides for Tailored Glass Transition, Dielectric, and Bandgap Properties

    ACS Omega · 2025-10-01

    Boyang Liang, Wenjia Huo, Xiang Xia Wu, Rongrong Zheng

    Read original paper ↗ ·

  27. Design and properties of ultra-hard high-entropy alloys based on machine learning and statistical feature selection

    Journal of Alloys and Compounds · 2025-10-12

    Peng Zeng, Siwen Tang, Haihui Wang, Yanchen Zhu, Xinpeng Chong, Hao Cheng, Feng Xiong, Meilian Gao

    Read original paper ↗ ·

  28. Hierarchical regression approach for enhanced performance prediction of ammonia decomposition catalysts

    Catalysis Today · 2025-10-14

    Jisu Park, Jaeseok An, Su-Jin Kim, Yongju Yun

    Read original paper ↗ ·

  29. Machine learning-driven design of polyimides with tailored dielectric constants

    Computational Materials Science · 2025-11-03

    Rongrong Zheng, Boyang Liang, Wenjia Huo, Xiang Xia Wu, Yaoyao Bai

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  30. Evaluating the transfer learning from metals to oxides with GAME-Net-Ox

    Digital Discovery · 2025-12-03

    Thomas van Hout, Oliver Loveday, Jordi Morales‐Vidal, Santiago Morandi, Núria López

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  31. Compositional design of Ni-based superalloys for additive manufacturing: Progress and perspectives

    Materials Science and Engineering R Reports · 2026-01-14

    Bingbing Yin, Yong Wei, Jiarui Zhu, Haoyu Ge, Shuaicheng Zhu, Yunwei Gui, Wenjing Zhang, Huadong Fu, Jinghe Xie

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  32. The Role of AI and Advanced Computational Techniques in Transforming Shape Memory Alloy Research

    Advances in computational intelligence and robotics book series · 2026-02-19

    Safaa Najah Saud Al-Humairi, Qiu Tao Fu, Noveli Sari Ramadhani

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  33. Room-temperature-property anchoring for family-transfer prediction of high-temperature properties in low-alloy steels

    Materials Letters · 2026-07-20

    Chengrong Xie, Dong Chen, W J Zhao, Z Zhang, Z.G. Li, Jian Kang, Guo Ding Yuan

    Read original paper ↗ ·

  34. Design of surface functionalized nanoparticle-filled epoxy coatings for balanced wear resistance and corrosion protection: Machine learning-assisted factor identification

    Surfaces and Interfaces · 2026-08-26

    Siyuan Wang, Gang Liu, Pengfei Song, Jingyi Liu, Ding Chen, Yucheng Cao, Zhao Liang, Guanlin Ren

    Read original paper ↗ ·
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