Papers citing Machine learning assisted design of γ′-strengthened Co-base superalloys with multi-performance optimization
Machine learning-based quantitative analysis of metal ductile fracture surface
Materialia · 2023-09-17
Neng Zhang, Hao Fu, Pei Liu, Cynthia Wang, Yan Zhang, Turab Lookman, Haiyou Huang, Yanjing Su
Read original paper ↗ ·Composition, heat treatment, microstructure and loading condition based machine learning prediction of creep life of superalloys
Mechanics of Materials · 2023-10-04
Ronghai Wu, Zeng Lei, Jiangkun Fan, Zichao Peng, Yunsong Zhao
Read original paper ↗ ·Alloy synthesis and processing by semi-supervised text mining
npj Computational Materials · 2023-10-06
Weiren Wang, Xue Feng Jiang, Shaohan Tian, Pei Liu, Turab Lookman, Yanjing Su, Jianxin Xie
Read original paper ↗ ·Multi‐objective optimization and its application in materials science
Materials Genome Engineering Advances · 2023-11-13
Bofeng Shi, Turab Lookman, Dezhen Xue
Read original paper ↗ ·Developing and optimizing novel Cr 3+ -activated inorganic NIR phosphors by combining triple-objective optimization and crystal field engineering
Inorganic Chemistry Frontiers · 2023-11-22
Lipeng Jiang, Xue Jiang, Mei Jun Yang, Xinpeng Zhao, Changxin Wang, Panpan Gao, Yanjing Su
Read original paper ↗ ·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
Read original paper ↗ ·Accelerated design of L1 2 -strengthened single crystal high entropy alloys based on machine learning and multi-objective optimization
Materials Advances · 2024-01-01
Wenchao Yang, Shunsheng Lin, Qiang Wang, Chen Liu, Jiarun Qin, Jun Zhang
Read original paper ↗ ·Physics-Assisted Machine-Learning Approach for Modeling the Temperature-Dependent Ultimate Strengths of Superalloys, with Comparison to Medium- and High-Entropy Alloys
Materials Chemistry and Physics · 2024-01-01
Baldur Steingrimsson, Xuesong Fan, B.M. Adam, Peter Kaehuei Liaw
Read original paper ↗ ·Novel Ni–Co-based superalloys with high thermal stability and specific yield stress discovered by directed energy deposition
Materials & Design · 2024-01-03
Boryung Yoo, Chanwon Jung, Kyuseon Jang, Hosun Jun, Pyuck‐Pa Choi
Read original paper ↗ ·Machine learning-assisted composition design of W-free Co-based superalloys with high γ′-solvus temperature and low density
Journal of Materials Research and Technology · 2024-01-18
Linlin Sun, Bin Cao, Qingshuang Ma, Qiuzhi Gao, Jiahao Luo, Minglong Gong, Jing Bai, Huijun Li
Read original paper ↗ ·Machine learning assisted analysis and prediction of rubber formulation using existing databases
Artificial Intelligence Chemistry · 2024-02-12
Wei Deng, Yuehua Zhao, Yafang Zheng, Yuan Yin, Yan Huan, Lijun Liu, Dapeng Wang
Read original paper ↗ ·Machine Learning‐Assisted Property Prediction of Solid‐State Electrolyte
Advanced Energy Materials · 2024-02-14
Jin Li, Meisa Zhou, Hong‐Hui Wu, Lifei Wang, Jian Zhang, Naiteng Wu, Kunming Pan, Guilong Liu, Yinggan Zhang, Jiajia Han, Xianming Liu, Xiang Chen, Jiayu Wan, Qiaobao Zhang
Read original paper ↗ ·Prediction of creep properties of Co–10Al–9W superalloys with machine learning
Journal of Materials Science · 2024-03-01
Qingqing Qin, Zan Zhang, Hongli Long, Jicheng Zhuo, Yongsheng Li
Read original paper ↗ ·Synchronously enhancing the strength, toughness, and stress corrosion resistance of high-end aluminum alloys via interpretable machine learning
Acta Materialia · 2024-03-29
Lei Jiang, Huadong Fu, Zhihao Zhang, Hongtao Zhang, Xinbiao Zhang, Xinming Feng, Xinyuan Xu, Minghong Mao, Jianxin Xie
Read original paper ↗ ·Experimentally validated inverse design of multi-property Fe-Co-Ni alloys
iScience · 2024-04-10
Shakti P. Padhy, Varun Chaudhary, Yee-Fun Lim, Ruiming Zhu, Muang Thway, Kedar Hippalgaonkar, Raju V. Ramanujan
Read original paper ↗ ·Novel Cast Ni‐Based Superalloys with Superb Weldability and Mechanical Properties Screened by a Multiperformance‐Oriented Criterion
Advanced Engineering Materials · 2024-06-05
Lei Gao, Yidong Wu, Jingyang Chen, Chengbo Xiao, Cheng‐bo Xiao, Ning An, Xu‐li Liu, Xidong Hui
Read original paper ↗ ·Pre-softening HIP treatment enabled crack-healing and superior mechanical properties for René 142 superalloy fabricated via laser powder bed fusion
Journal of Material Science and Technology · 2024-06-12
Dongyu Wei, Wenzhe Zhou, Decheng Kong, Yusheng Tian, Jian He, Rui Wang, Wenmao Huang, Qingbiao Tan, Guoliang Zhu, Baode Sun
Read original paper ↗ ·Machine learning-enabled prediction and optimization of hardness for Nb-Ti-V-Zr refractory high entropy alloy
Materials Today Communications · 2024-06-21
Seyedmehrab Hosseini, Ehsan Vaghefi, Chanho Lee, Barton C. Prorok, Elham Mirkoohi
Read original paper ↗ ·Machine learning studies for magnetic compositionally complex alloys: A critical review
Progress in Materials Science · 2024-06-26
Xin Li, C.H. Shek, Peter Kaehuei Liaw, Guangcun Shan
Read original paper ↗ ·Compositional design of compounds with elements not in training data using supervised learning
Journal of Materiomics · 2024-07-14
Jingjin He, Ruowei Yin, Changxin Wang, Chuanbao Liu, Dezhen Xue, Yanjing Su, Lijie J. Qiao, Turab Lookman, Yang Bai
Read original paper ↗ ·Unsupervised learning-aided extrapolation for accelerated design of superalloys
npj Computational Materials · 2024-08-04
Weijie Liao, Ruihao Yuan, Xiangyi Xue, Jun Wang, Jinshan Li, Turab Lookman
Read original paper ↗ ·Machine-Learning-Assisted Compositional Design of Refractory High-Entropy Alloys with Optimal Strength and Ductility
Engineering · 2024-09-04
Cheng Wen, Yan Zhang, Changxin Wang, Haiyou Huang, Yuan Wu, Turab Lookman, Yanjing Su
Read original paper ↗ ·Predicting actuation strain in quaternary shape memory alloy NiTiHfX using machine learning
Computational Materials Science · 2024-09-11
Hossein Abedi, Mohammad Abdollahzadeh, T. Bush, Othmane Benafan, Ala Qattawi, Mohammad Elahinia
Read original paper ↗ ·Applications of machine learning method in high-performance materials design: a review
Journal of Materials Informatics · 2024-09-26
Junhao Yuan, Zhen Li, Yujia Yang, Anyi Yin, Wenjie Li, Dan Sun, Qing Wang
Read original paper ↗ ·A Review on the Application of Superalloys Composition, Microstructure, Processing, and Performance via Machine Learning
JOM · 2024-10-10
Junhui Zhang, Haiyan Gao, Yahui Liu, Jun Wang
Read original paper ↗ ·Empowering the Sustainable Development of High‐End Alloys via Interpretive Machine Learning
Advanced Materials · 2024-10-14
Hongtao Zhang, Huadong Fu, Weidong Li, Lei Jiang, Wei Yong, Jingtai Sun, Long‐Qing Chen, Jianxin Xie
Read original paper ↗ ·Creep rafting fracture and strain properties of overheating Co-based superalloy: Crystal plasticity phase-field simulation
Computational Materials Science · 2024-10-18
Shujing Shi, Kunning Niu, Shenglong Wang, Zan Zhang, Peng Sang, Yongsheng Li
Read original paper ↗ ·Machine-Learning-Driven Design of High-Elastocaloric NiTi-Based Shape Memory Alloys
Metals · 2024-10-20
Yingyu Gao, Yunfeng Hu, Xinpeng Zhao, Yang Liu, Haiyou Huang, Yanjing Su
Read original paper ↗ ·Multi-objective design of Ni-B-Al master alloy by adaptive machine learning-driven aluminothermic reduction experiment
Journal of Alloys and Compounds · 2024-11-05
Xiaobing Hu, Huan Li, Cheng Liu, Jialong Kang, Lin Wang, Chen Xing, Jinping Wu, Jincheng Wang
Read original paper ↗ ·Accelerated composition-process-properties design of precipitation-strengthened copper alloys using machine learning based on Bayesian optimization
Materials Research Letters · 2024-11-12
Longjian Li, Jinchuan Jie, Xiaoyu Guo, Gaojie Liu, Huijun Kang, Zongning Chen, Enyu Guo, Tongmin Wang
Read original paper ↗ ·Facilitated the discovery of new γ/γ′ Co-based superalloys by combining first-principles and machine learning
npj Computational Materials · 2024-11-14
ZhaoJing Han, ShengBao Xia, Zeyu Chen, Yihui Guo, ZhaoXuan Li, Qi Huang, Xingjun Liu, Weiwei Xu
Read original paper ↗ ·Fast parameter optimization for high-fidelity crystal plasticity simulation using active learning
Journal of Materials Informatics · 2024-11-16
Meirong Jiang, Xiaobing Hu, Chen Xing, Zhongsheng Yang, Yiming Chen, Junjie Li, Zhijun Wang, Jincheng Wang
Read original paper ↗ ·Multi-Properties prediction of perovskite materials using Machine learning and Meta-Heuristic feature selection
Solar Energy · 2024-12-12
Frendy Jaya Kusuma, Eri Widianto, Wahyono Wahyono, Iman Santoso, Sholihun Sholihun, Moh. Adhib Ulil Absor, Setyawan P. Sakti, Kuwat Trıyana
Read original paper ↗ ·Robustness of machine learning predictions for Fe-Co-Ni alloys prepared by various synthesis methods
iScience · 2024-12-12
Shakti P. Padhy, Soumya R. Mishra, Li Ping Tan, Karl Peter Davidson, Xuesong Xu, Varun Chaudhary, Raju V. Ramanujan
Read original paper ↗ ·Developing novel low-density high-entropy superalloys with high strength and superior creep resistance guided by automated machine learning
Acta Materialia · 2024-12-16
Yancheng Li, Jingyu Pang, Zhen Li, Qing Wang, Zhen-Hua Wang, Jinlin Li, Hongwei Zhang, Zengbao Jiao, Chuang Dong, Peter Kaehuei Liaw
Read original paper ↗ ·Improving electrolyte performance for target cathode loading using an interpretable data-driven approach
Cell Reports Physical Science · 2024-12-18
Vidushi Sharma, Andy Tek, Khanh Nguyen, Maxwell J. Giammona, Murtaza Zohair, Linda K. Sundberg, Young‐Hye La
Read original paper ↗ ·Construction of material phase diagram using different uncertainty estimation strategies
Materials Letters · 2025-01-14
Pei Liu, Hongyao Yu, Hailong Qin, Bin Shi Xu, Yixin Cheng, Jinli Xie, Haiyou Huang, Zhongnan Bi
Read original paper ↗ ·Machine Learning-Based Computational Design Methods for High-Entropy Alloys
High Entropy Alloys & Materials · 2025-03-01
Yan Ming Zhao, J. Y. Zhang, Peter Kaehuei Liaw, Tao Yang
Read original paper ↗ ·Interpretable machine learning study on the relationship between microstructural features and properties of GH4742 alloy
Materials Characterization · 2025-04-04
Yan Li, Qiang Tian, Hao Wang
Read original paper ↗ ·Phase-field-informed machine learning on creep behavior of Ni-based single-crystal superalloys
Journal of Materials Informatics · 2025-04-21
Jiao Song, Shan Ye, Zan Zhang, Shenglong Wang, Haiwei Zhang, Muhammad Suleman, Haiyou Huang, Yongsheng Li
Read original paper ↗ ·Application of Machine Learning in Nano Research — A Review
Nano LIFE · 2025-04-26
Fatema Tuz Zohura, Mariam Akter Mimona, Md Mir Shakib Ahmed, Md Israfil Hossain Rimon, Md. Aminul Islam, Nayem Hossain, Md Hosne Mobarak
Read original paper ↗ ·Machine learning-driven optimization of hardness and toughness in high-entropy alloy coatings based on composition and descriptor
Journal of Applied Physics · 2025-05-19
Kehong Zhong, Shaoyu Wu, Siqian Liu, Juan Qi, Longwei Cheng, Dongmei Ai
Read original paper ↗ ·Design of superalloys with multiple properties via multi-task learning
Acta Materialia · 2025-05-22
Weiren Wang, Xue Feng Jiang, Wenyao Li, Chi Zhang, Pei Liu, Shaohan Tian, Turab Lookman, Yanjing Su
Read original paper ↗ ·Automated system for high-throughput process-structure-property dataset generation of structural materials: A γ/γ′ superalloy case study
Materials & Design · 2025-06-20
Thomas Hoefler, Teruyuki Ikeda, Toshio Osada, Toru Hara, Kyoko Hashi Kawagishi, Takahito Ohmura
Read original paper ↗ ·Machine learning for obtaining values of thermomechanical processing parameters of high-entropy alloys with desirable strength and ductility
Intermetallics · 2025-06-27
Zolfaghar Ali Akhlaghi, Hamed Shahmir, Ahmad R. Sharafat
Read original paper ↗ ·Enhanced extrapolative machine learning for designing high‐performance multi‐principal‐element superalloys
Rare Metals · 2025-07-29
Qiuling Tao, Longke Bao, Jiawen Cao, Rongpei Shi, Yilu Zhao, Tao Yang, Xue Jia, Zhifu Yao, Xingjun Liu
Read original paper ↗ ·Interpretable machine learning-guided design of Fe-based soft magnetic alloys
Physical Review Materials · 2025-08-22
Aditi Nachnani, Kai K. Li-Caldwell, Saptarshi Biswas, Prince Sharma, Gaoyuan Ouyang, Prashant Kumar Singh
Read original paper ↗ ·Machine learning assisted design of CrTaTiV-based refractory high entropy alloys with enhanced hardness
International Journal of Refractory Metals and Hard Materials · 2025-08-22
Liang Li, Shu Wang, Su Chen, Shengfeng Guo
Read original paper ↗ ·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
Read original paper ↗ ·From Algorithms to Applications: A Comprehensive Review of Machine Learning in Computational Materials Science
Archives of Computational Methods in Engineering · 2025-08-28
Yanbing Guo, Yongheng Wang, Wang Zhang, Zhikang Shen, Li Zeng
Read original paper ↗ ·