Papers citing Cluster-formula-embedded machine learning for design of multicomponent β-Ti alloys with low Young’s modulus
Prediction of oxidation resistance of Ti-V-Cr burn resistant titanium alloy based on machine learning
npj Materials Degradation · 2025-01-14
Yuanzhi Sun, Guangbao Mi, Peijie Li, Liangju He
Read original paper ↗ ·Machine learning in additive manufacturing: enhancing design, manufacturing and performance prediction intelligence
Journal of Intelligent Manufacturing · 2025-01-27
Teng Wang, Yanfeng Li, Taoyong Li, Bei Liu, Xiaowei Li, Xiangyu Zhang
Read original paper ↗ ·Integrating Machine Learning into Additive Manufacturing of Metallic Biomaterials: A Comprehensive Review
Journal of Functional Biomaterials · 2025-02-21
Shangyan Zhao, Yixuan Shi, Chengcong Huang, Xuan Li, Yuchen Lu, Yuzhi Wu, Yageng Li, Lu‐Ning Wang
Read original paper ↗ ·Predicting Elastic Modulus of Rocks Using Metaheuristic-Optimized Ensemble Regression Models
Rock Mechanics and Rock Engineering · 2025-03-18
Niaz Muhammad Shahani, Xigui Zheng, Xin Wei, Yue Wei
Read original paper ↗ ·Application of Machine Learning in Amorphous Alloys
Materials · 2025-04-13
Like Zhang, Huangyou Zhang, Boyan Ji, Leqing Liu, Xianlan Liu, Ding Chen
Read original paper ↗ ·Integration of machine learning with finite element analysis in materials science: a review
Journal of Materials Science · 2025-05-01
Chong Li, Shaobin Yang, Haoyuan Zheng, Yong Zhang, Lailei Wu, Weihua Xue, Ding Shen, Wenwen Lu, Z.G. Ni, Meilin Liu, He Lin
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 ↗ ·Generalizable descriptors for automatic titanium alloys design by learning from texts via large language model
Acta Materialia · 2025-07-02
Ping Wang, Yuan Jiang, Weijie Liao, Rong Wang, Minjie Lai, Hongchao Kou, Xiubing Liang, Jinshan Li, Turab Lookman, Ruihao Yuan
Read original paper ↗ ·Computation- and process-based design for advanced structural high-entropy alloy development and analyses: A critical review
Progress in Materials Science · 2025-07-15
Zaigham Saeed Toor, Renhao Wu, Muhammad Raihan Hashmi, Jeong Ah Lee, Xiaoqing Li, Harada Yuji, Haiming Zhang, Hyoung Seop Kim
Read original paper ↗ ·Graph neural networks enable design of high-performance aluminum alloys for laser powder bed fusion
Virtual and Physical Prototyping · 2025-08-28
Jiabo Fu, Xingming Yang, Hongyuan Zhang, Xinni Tian, Hao Yu, Chenchong Wang, Wei Xu
Read original paper ↗ ·Review: Recent progress in titanium alloys development via machine learning and high-throughput preparation
Journal of Materials Science · 2025-09-06
Feiyang Gao, Weiwen Zhang, Xiaotao Liu, Xuan Luo, Zhi Wang, Ning Li, L.H. Liu
Read original paper ↗ ·Soft computing-based modelling of mechanical properties of titanium alloys
Canadian Metallurgical Quarterly · 2025-10-10
Akeem Damilola Akinwekomi
Read original paper ↗ ·Recent advances in the high entropy materials for advanced energy storage with machine learning
Materials Reports Energy · 2025-10-17
Xin Tong, Kaifang Sun, Hao Ye, Lin Cao, Jinliang Zhuang, Juan Tian, Xinxing Zhan
Read original paper ↗ ·Elucidating the intrinsic composition-microstructure-property relationships of Cu-Ni-Sn alloys by integrating rapid fabrication, thermodynamic calculations, and machine learning
Materials Science and Engineering A · 2025-11-05
Mingying Chen, Xinhua Liu, Fan Zhao, Xingyu Xiao, Weidong Li, Jianxin Xie
Read original paper ↗ ·Machine learning assisted optimization design and microstructure-property evolution mechanisms of 600 °C high temperature burn resistant titanium alloys
Materials & Design · 2025-12-25
Guangbao Mi, Yuanzhi Sun, Ruochen Sun, Peijie Li, Nan Sui, Liangju He, Fuli Dong
Read original paper ↗ ·Record-low elastic modulus in β -titanium alloys designed using a domain adversarial neural network
Materials Futures · 2026-02-05
Yuan Zhou, Junxin Yang, Shuailong Hu, Fen Wang, Qiuxiao Chen, Zijun Chen, Erbo Xiao, Ziyue You, Zhijin He, Shiyu Rao, Chao Yang, L.H. Liu
Read original paper ↗ ·Exploring the ductility of refractory high-entropy alloys: A parallel machine learning framework with experiments
Materials Characterization · 2026-05-03
Shujian Ding, Yifan Zhang, Yitian Lu, Weili Wang, Dou Li, Jiahua He, Jian Chen
Read original paper ↗ ·Machine learning-aided design of metallic mechanical metamaterials: fabrication-aware modelling, property prediction, and inverse design
Virtual and Physical Prototyping · 2026-05-18
Heyuan Huang, Gang Xue, Zhicheng Dong, Ben Jia, Dong Guo, Yue Wang, Junjie Zhou
Read original paper ↗ ·Machine learning-aided material selection, parameter optimization, and process monitoring in laser powder bed fusion and laser directed energy deposition with powder feed
Journal of Manufacturing Systems · 2026-07-01
Jiahui Zhang, Zhiquan Yang, Andrew Smith, Ajay Talbot, Zhiying Liu, Xiao Shang, S.S. Dash, Yu Zou
Read original paper ↗ ·Machine‑learning prediction of Young’s modulus in multi‑component titanium‑based biomedical alloys using extended thermodynamic descriptors
Science and Technology of Advanced Materials Methods · 2026-07-06
Hassan Ahmad, Muhammad Haider, Zafar Iqbal, Muhammad Zarif, Syed Mujtaba ul Hassan
Read original paper ↗ ·The validation and verification of high-throughput equivalent ternary CALPHAD algorithm for thermodynamic properties of multicomponent Ti alloys
Tungsten · 2026-08-01
Hongjian Ye, William Yi Wang, Shuo Liu, Xiaoqian Fan, Yulun Wu, Xianghong Liu, Jinshan Li
Read original paper ↗ ·Machine learning for titanium alloy development: Composition design, process optimization, microstructure informatics, and performance prediction
Journal of Materials Research and Technology · 2026-08-17
Chenxuan Liu, Mingxuan Ling, Chen Luo, Yujie Cui
Read original paper ↗ ·Research progress on advanced titanium-molybdenum alloy design driven by machine learning
Journal of Alloys and Compounds · 2026-09-01
Shuai Ji, Jinhang Bai, Quanyin Meng
Read original paper ↗ ·Design of metastable β-type Ti–Nb–Mo alloys with low elastic modulus for biomedical applications: Evaluation of phase stability, mechanical properties, and corrosion resistance
Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications · 2026-09-02
Gouthamaraj Kanapaakala, Venkatesan Subramani
Read original paper ↗ ·Cross-scale regulation mechanisms of alloying elements on the mechanical properties of β-Ti alloys: a synergistic strategy to integrate machine learning and first-principles calculations
Journal of Materials Science · 2026-09-17
Chumeng Xiang, Jingzhou Wen, Junlei Yin, Chengxiong Zou, William Yi Wang, Jinshan Li, Na Yan, Huiqing Fan
Read original paper ↗ ·Intelligent additive manufacturing using AI and machine learning
Progress in Additive Manufacturing · 2026-09-28
Gurbhej Singh, Neha Sethi, Hitesh Vasudev, Jaspinder Singh Singh, Gurprinder Singh Dhindsa Singh
Read original paper ↗ ·Machine learning for high-performance alloy design: A review
Metals Advances · 2026-10-01
Zinuo Wang, Qi Xu, Peng Zhou, Tao Zhang, Fuhui Wang
Read original paper ↗ ·