RESEARCH PAPER · Fusion Engineering and Design · 2024
Machine learning - assisted prediction of yield strength in irradiated type 316 stainless steels
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Fusion Engineering and Design · 2025-12-09
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Read original paper ↗ ·An Application of Machine Learning in Prediction of Dielectric Constant of Perovskite Microwave Dielectric Ceramics
Environmental Quality Management · 2025-12-29
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Read original paper ↗ ·Innovative hybrid data-driven approach for failure prediction of cold-formed steel columns using high-fidelity models – performance comparison with international design codes
Engineering Failure Analysis · 2026-01-23
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Journal of Alloys and Compounds · 2026-03-01
Guixin Chen, Yonggang Yan, Yi Fan Zhao, Hui Li, Dong Wang, Xunxiang Hu
Read original paper ↗ ·A data-efficient physics-informed neural network framework for reliable irradiation hardening assessment in nanocrystalline materials
Nuclear Engineering and Technology · 2026-03-09
Kai Liu, Xin. Leng, Ting. Liu, Wangwang Liao, Weipeng. Li, Xiangyun Long
Read original paper ↗ ·Prediction of stainless steel mechanical properties using synthetic data generated by wasserstein generative adversarial networks with gradient penalty
ARPN Journal of Engineering and Applied Sciences · 2026-07-10
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Read original paper ↗ ·Machine learning-assisted multi-NDT framework for predicting mechanical properties of reclaimed structural steel
Structures · 2026-09-14
Shagea Alqawzai, Thi Qui Nguyen
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