Papers citing Recent applications of machine learning in alloy design: A review
Recent advances in design of magnetic functional alloys assisted by machine learning
Applied Physics Reviews · 2026
PengQiang HU, Chao Zhou, Sidan Ding, Ruisheng Zhang, Yizhe Ma, Kun Wang, HongWen CHEN, Zhiyong Dai, Rui Zhang, Xiaoqin Ke, Zhengming Zhang, Dunhui Wang, Yao Liu, Qiang Wang, Tie Liu, Chun Hua Wu, Tianli Zhang, Jingmin Wang, Jie Zhu, Xuexu Gao, Dan Huang, Yin Zhang, Fanghua Tian, Kaiyan Cao, Sen Yang
Read original paper ↗ ·Data-driven design of high-performance Ti-Fe-O alloys via iron oxide doping into titanium
Journal of Material Science and Technology · 2026
X.X. Li, H.M. Zhang, X.W. Cheng, X.N. Mu, P.L. Zhao, Z.Y. Yang, S.C. Xiong
Read original paper ↗ ·Transforming high entropy alloy designing with predictive ensemble machine learning: A framework for accurate micro-hardness estimation and interpretability
Materials Today Communications · 2026
Muhammad Abdullah Shah, Rida Nasir, Nadeem Shaukat, Zafar Iqbal, Shameer Ali Rehman, Muhammad Waleed Kamran, Laiba Hassan, Matloob Hussain Bhatti, Khurram Yaqoob
Read original paper ↗ ·Machine learning for high-performance alloy design: A review
Metals Advances · 2026
Zinuo Wang, Qi Xu, Peng Zhou, Tao Zhang, Fuhui Wang
Read original paper ↗ ·Combined multi-process treatment and machine learning approach for fabricating diamond/AlMgSi composites with improved thermal and mechanical performance
Diamond and Related Materials · 2026
Ripeng Jiang, Linzhe He, Renbin Wu, Ruiqing Li, Renjun Hu, Aolei Fu
Read original paper ↗ ·