RESEARCH PAPER · Computational Materials Science · 2025
Accelerated design of age-hardened Mg-Ca-Zn alloys with enhanced mechanical properties via machine learning
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PCS: Property-composition-structure chain in Mg-Nd alloys through integrating sigmoid fitting and conditional generative adversarial network modeling
Scripta Materialia · 2025-05-17
Xu Qin, Qinghang Wang, Xinqian Zhao, Shouxin Xia, Li Wang, Yuhui Zhang, Chao He, Daolun L. Chen, Bin Jiang
Read original paper ↗ ·Computational methods and artificial intelligence-based modeling of magnesium alloys: a systematic review of machine learning, deep learning, and data-driven design and optimization approaches
Frontiers in Materials · 2025-08-08
Hanxuan Wang, Raman Kumar, Ashutosh Pattanaik, Rajender Kumar, Ali Saeed Owayez Khawaf Aljaberi, Mayada Ahmed Abass
Read original paper ↗ ·Leveraging causal discovery and causal inference to improve interpretability of Charpy impact toughness
Computational Materials Science · 2025-08-12
Tian ning Xu, Jing Bai, Xujie Gong, Ruichao Lei, Yu Jing Yan
Read original paper ↗ ·Accelerating age hardening behavior of Mg alloy using a data-driven screening strategy guided by machine learning
Next Materials · 2025-11-17
Atwakyire Moses, Qiao Yun Huang, Ding Chen
Read original paper ↗ ·A machine learning approach to predicting resonance frequency in soft magnetic composites
Applied Physics A · 2025-12-04
Tarik Sadat
Read original paper ↗ ·Parameter Optimization of Retrogression and Re-Aging Process for Highly Alloyed 7xxx Series Aluminum Alloy Based on Machine Learning
SSRN Electronic Journal · 2026-01-01
Xiaorong Yang, Zheming Zhang, Huaying Li, Shangshang Liang, Zhifa Wang, Yinyue Li, Xiongbo Yan, Xinya Yu
Read original paper ↗ ·Mechanical property prediction and inverse structural design of corrugated cardboard based on FEM and machine learning
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · 2026-03-23
Bingbing Chang, Qingguo Chen, Cheng Yin, Jing Qian, Linlin Wang
Read original paper ↗ ·Accelerating the design of resorbable magnesium alloys: a machine learning approach to property prediction
Materials & Design · 2026-04-21
Vickey Nandal, Vít Beneš, Pavel Baláž, Jiří Ryjáček, Karel Tesař
Read original paper ↗ ·Improving Alloy Mechanical Property Prediction by Addressing Data Homogeneity through Noise Augmentation
Journal of Materials Engineering and Performance · 2026-05-03
Yuhui Zhang, Dongfa Qiao, Yangbo Wu, Yanling Hu, Yurong Wu, Qinghang Wang
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