Papers citing Predicting Tensile Properties of AZ31 Magnesium Alloys by Machine Learning
Deep drawing of magnesium alloys: A review
Journal of Magnesium and Alloys · 2025-04-01
Jalumedi Babu, Anjaiah Madarapu, Deepa Kodali, M. Venkata Ramana
Read original paper ↗ ·Machine learning assisted design of reactor steels with high long-term strength and toughness
Materials & Design · 2025-05-06
Ivan Trofimov, Pavel Yu. Korotaev, Ivan Ivanov, A. N. Mal’ginov, A. N. Tokhtamyshev, Alexey V. Yanilkin, Ivan A. Kruglov
Read original paper ↗ ·AAKAN-WGAN: Predicting mechanical properties of magnesium alloys based on generative design and adaptive activation of Kolmogorov-Arnold Networks
Materials Today Communications · 2025-06-25
Yehu Shen, Jiahao Du, Yifan He, Hezhe Wang, Ting Hao, Xuemei Niu, Q.K. Jiang
Read original paper ↗ ·Advancing chemical engineering technology with artificial intelligence
Clean Energy · 2025-07-04
Chuxuan Ding, Xin Gui, Jun Jiang
Read original paper ↗ ·A new creep prediction model in Ni‐based superalloys via data‐driven symbolic regression
Materials Genome Engineering Advances · 2025-09-01
Wenjing Li, Yehang Chen, Xiufang Gong, Jiaqi Wu, Hu Wang, Ying Liu, Lixian Lian
Read original paper ↗ ·AI for Materials Development and Degradation Analysis in Automotive, Battery and Nuclear Industries
Synthesis lectures on computer science · 2026-01-01
M.U. Farooq Khan, Christopher D. Taylor, Koushik Kosanam, Mohammed Shahbaz Quraishy, Anant Raj, Manoj K. Jangid, Xingang Zhao
Read original paper ↗ ·A two-stage predicting approach of magnesium alloys based on a single target regression strategy
Next research. · 2026-02-05
Atwakyire Moses, Ezkihel T. Tefera, Qiao Huang, Wang Xuefeng, Ding Chen
Read original paper ↗ ·Prediction of mechanical properties of magnesium alloys through machine learning: a review
Emerging Materials Research · 2026-02-23
A. Packia Antony Amalan, N Renugadevi
Read original paper ↗ ·Interpretable machine learning predictive model for mechanical properties of AZ31 magnesium alloy rolled sheets
Transactions of Nonferrous Metals Society of China · 2026-03-01
Zhu Bi-wu, Hao JIANG, Qiu-ping YI, Xiao Liu, Jian-zhao WU, Wen-hui LIU, Cong-chang Xu, Luo-Xing Li, Ke Hu
Read original paper ↗ ·A survey of machine learning applications for Mg alloys: A promising prospect for current trends and future directions
Solid State Communications · 2026-05-12
Atwakyire Moses, Wang Xuefeng, Qiao Huang, Juanyun Li, Bin Wang, Yanming Huang, Behangana Albert, Usito Twine Bakesigakyi, Ezkihel T. Tefera, Ding Chen
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 ↗ ·Synergistic process optimization for strength and ductility in an Mg-Gd-Y-Zn-Zr alloy using an interpretable ensemble learning framework with data augmentation
Journal of Magnesium and Alloys · 2026-09-14
Xiaohua Zhang, Jiaqi Li, Shijie wang, Yuan Shi, Yuchao Zhou
Read original paper ↗ ·