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RESEARCH PAPER · Tungsten · 2022

The intrinsic strength prediction by machine learning for refractory high entropy alloys

Yonggang Yan, Kun Wang

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

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The intrinsic strength prediction by machine learning for refractory high entropy alloysOriginalAccelerated discovery of oxidation-resistant ultra-high temperature ceramics via data driven methodology11Accelerated Design for High-Entropy Alloys Based on Machine Learning and Multiobjective Optimization29Annealing-induced gradient nanostructured FeCrAlTiMo high-entropy alloy coatings with significantly enhanced wear resistance26Research progress of high entropy alloy: Surface treatment improves friction and wear properties75Understanding the role of solvents in bottom-up synthesis of multi-element hydroxides5Opposite Bauschinger Effects on Wear of High-Entropy Alloy AlCoCrFeNix (x = 0 to 2) Under Sliding Wear and Machining Conditions5Synthesis of High-Entropy Rare Earth (Y0.2 La0.2 Nd0.2 Sm0.2 Gd0.2) BO4 (B = Cr, Mo, W) Oxide Powders0Achieving strength–ductility synergy in novel paramagnetic Fe‐based medium‐entropy alloys through deep cryogenic deformation14Structural engineering of high-entropy alloys for advanced electrocatalytic reactions39Ultrafine-grained refractory high-entropy alloy with oxygen control and high mechanical performance40Tailoring Laser Powder Bed Fusion Process Parameters for Standard and Off-Size Ti6Al4V Metal Powders: A Machine Learning Approach Enhanced by Photodiode-Based Melt Pool Monitoring5Six‐principal‐component high‐entropy carbonitride aerogel thermal insulator: Theoretical and experimental studies6A yield strength prediction framework for refractory high-entropy alloys based on machine learning20Sensing-performance improvement of 2D MoSH based gas sensors for detecting NO, NO2, and NH3 gas molecules12The path towards plasma facing components: A review of state-of-the-art in W-based refractory high-entropy alloys39Recent machine learning-driven investigations into high entropy alloys: A comprehensive review37Processing, Defect Formation, Microstructure, and Mechanical Properties of Additively Manufactured Refractory Metals: A Review18Rapid Assessment of Stable Crystal Structures in Single-Phase High-Entropy Alloys via Graph Neural Network-Based Surrogate Modelling2Hierarchical heterogeneous microstructure for enhanced wear resistance of CoCrFeMnNi high-entropy alloy coatings via in-situ rolling assisted laser cladding26Machine learning-driven insights into the microstructure and properties of high-entropy alloys14Composition design and process optimization of refractory boride coatings based on high-throughput preparation and machine learning2A machine learning framework for high-strength Mo-Re alloy design2Al-induced multi-scale precipitates for enhanced wear resistance in AlxCoCrNi1.5 eutectic high-entropy alloys0Machine learning and Calphad guided exploration of low-Neutron-cross-section refractory multi-principal element alloys0A review of modern design methods and multi-scale coupling simulation strategies for high-entropy alloys0

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  1. Accelerated discovery of oxidation-resistant ultra-high temperature ceramics via data driven methodology

    Corrosion Science · 2023-08-14

    Yonggang Yan, Yalin Liao, Kun Wang

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  2. Accelerated Design for High-Entropy Alloys Based on Machine Learning and Multiobjective Optimization

    Journal of Chemical Information and Modeling · 2023-09-26

    Yingying Ma, Minjie Li, Yongkun Mu, Gang Wang, Wencong Lu

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  3. Annealing-induced gradient nanostructured FeCrAlTiMo high-entropy alloy coatings with significantly enhanced wear resistance

    Tungsten · 2023-12-07

    Jian Yang, Jian Yang, Jijun Yang, Jijun Yang, Jijun Yang

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  4. Research progress of high entropy alloy: Surface treatment improves friction and wear properties

    Journal of Materials Research and Technology · 2023-12-07

    Liu Meijun, Liujie Xu, Chenhui Zhu, Zhou Li, Shizhong Wei

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  5. Understanding the role of solvents in bottom-up synthesis of multi-element hydroxides

    RSC Advances · 2024-01-01

    Fei Li, Kanako Yoshida, Nguyen Van Chuc, Minoru Osada, Hiroya Abe

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  6. Opposite Bauschinger Effects on Wear of High-Entropy Alloy AlCoCrFeNix (x = 0 to 2) Under Sliding Wear and Machining Conditions

    Metallurgical and Materials Transactions A · 2024-04-05

    Zhen Xu, Yunqing Tang, A. He, Wenke Chen, Daolun L. Chen, D. Y. Li

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  7. Synthesis of High-Entropy Rare Earth (Y0.2 La0.2 Nd0.2 Sm0.2 Gd0.2) BO4 (B = Cr, Mo, W) Oxide Powders

    Journal of Smart Processing · 2024-07-10

    Fei Li, Kanako YOSHIDA, Nguyen Van Chuc, Minoru Osada, Hiroya Abe

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  8. Achieving strength–ductility synergy in novel paramagnetic Fe‐based medium‐entropy alloys through deep cryogenic deformation

    Rare Metals · 2024-07-12

    Huwen Ma, Yanchun Zhao, Feng Li, Tianzeng Liu, Zhiqi Yu, Bo Jin, Wangchun Duan, Peter Kaehuei Liaw, Dong Ma

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  9. Structural engineering of high-entropy alloys for advanced electrocatalytic reactions

    Tungsten · 2024-07-19

    Qiao Xie, Ying-Jie Yu, Haijun Zhang, Ya‐Ping Deng, Wen Lei

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  10. Ultrafine-grained refractory high-entropy alloy with oxygen control and high mechanical performance

    Journal of Material Science and Technology · 2024-07-20

    Yaping Sun, Chao Ran Hou, Yurong Li, Tielong Han, Xuemei Liu, Xiaoyan Song

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  11. Tailoring Laser Powder Bed Fusion Process Parameters for Standard and Off-Size Ti6Al4V Metal Powders: A Machine Learning Approach Enhanced by Photodiode-Based Melt Pool Monitoring

    Inventions · 2024-07-30

    Farima Liravi, Sebastian Soo, Sahar Toorandaz, Katayoon Taherkhani, Mahdi Habibnejad-Korayem, Ehsan Toyserkani

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  12. Six‐principal‐component high‐entropy carbonitride aerogel thermal insulator: Theoretical and experimental studies

    Journal of the American Ceramic Society · 2024-08-11

    Lei Han, Yu Chen, Hui-Fang Wang, Haijun Zhang, Shaowei Zhang

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  13. A yield strength prediction framework for refractory high-entropy alloys based on machine learning

    International Journal of Refractory Metals and Hard Materials · 2024-09-14

    Shujian Ding, Weili Wang, Yifan Zhang, Wei Ren, Xiang Weng, Jian Chen

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  14. Sensing-performance improvement of 2D MoSH based gas sensors for detecting NO, NO2, and NH3 gas molecules

    Ceramics International · 2024-09-24

    Wensheng Zhou, Guogang Liu, Tong Chen, Cheng Luo, Danfeng Qin, Xianbo Xiao

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  15. The path towards plasma facing components: A review of state-of-the-art in W-based refractory high-entropy alloys

    Current Opinion in Solid State and Materials Science · 2024-10-14

    Caleb Hatler, Ishtiaque Karim Robin, Hyosim Kim, Nathan Curtis, Bochuan Sun, Eda Aydogan, Saryu Jindal Fensin, Adrien Couet, Enrique Martínez, Dan J. Thoma, Osman El Atwani

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  16. Recent machine learning-driven investigations into high entropy alloys: A comprehensive review

    Journal of Alloys and Compounds · 2024-11-28

    Yonggang Yan, Xunxiang Hu, Yalin Liao, Yanyao Zhou, Wenhao He, Ting Zhou

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  17. Processing, Defect Formation, Microstructure, and Mechanical Properties of Additively Manufactured Refractory Metals: A Review

    Journal of Materials Engineering and Performance · 2024-12-17

    Chunmei Ma, Yunwei Gui, Yongtian Wang, Xin Dong, Yong Zhen Huang, Huadong Fu, Guogang Shu

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  18. Rapid Assessment of Stable Crystal Structures in Single-Phase High-Entropy Alloys via Graph Neural Network-Based Surrogate Modelling

    Crystals · 2024-12-20

    Nicholas Beaver, Aniruddha Mukund Dive, Marina Wong, Keita Shimanuki, Ananya Patil, Anthony Ferrell, Mohsen Beyramali Kivy

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  19. Hierarchical heterogeneous microstructure for enhanced wear resistance of CoCrFeMnNi high-entropy alloy coatings via in-situ rolling assisted laser cladding

    Journal of Manufacturing Processes · 2025-03-01

    Hao Liu, Baochen Wang, Peijian Chen, Dali Li, Jingbin Hao, Haifeng Yang, Xiuli He, Gang Yu

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  20. Machine learning-driven insights into the microstructure and properties of high-entropy alloys

    Advanced Powder Materials · 2025-08-05

    Xiaoyi Zhang, Wenhan Zhou, Xiang Li, Tong Xu, Yongzhen Yu, Lei Zheng, Guanhua Jin, Shengli Zhang

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  21. Composition design and process optimization of refractory boride coatings based on high-throughput preparation and machine learning

    Journal of Materials Science · 2025-08-23

    Binyuan Jia, Wenhui Ma, Qiang Wan, Cai Lu, Qiwen Wei, Bing Yang, Yangyi Xiao

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  22. A machine learning framework for high-strength Mo-Re alloy design

    Journal of Alloys and Compounds · 2026-03-01

    Guixin Chen, Yonggang Yan, Yi Fan Zhao, Hui Li, Dong Wang, Xunxiang Hu

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  23. Al-induced multi-scale precipitates for enhanced wear resistance in AlxCoCrNi1.5 eutectic high-entropy alloys

    Materialia · 2026-08-06

    Hanxing Wang, Lianning Li, Lei Zhang, Jin Li, Chunyu Zhao

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  24. Machine learning and Calphad guided exploration of low-Neutron-cross-section refractory multi-principal element alloys

    Intermetallics · 2026-08-12

    Daozheng Li, Marcia Ahn, Xinchang Zhang, Jingfan Yang, Rongjie Song, Wei Xiong

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  25. A review of modern design methods and multi-scale coupling simulation strategies for high-entropy alloys

    Journal of Alloys and Compounds · 2026-09-01

    Yanghuan Li, Dongzhou Jia, Yongqiang Fu, Qi Gao, Xiaoqiang Wu, Yanbin Zhang, Ying Fu

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