Room-temperature-property anchoring for family-transfer prediction of high-temperature properties in low-alloy steels
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Research context
OpenAlex topics: Microstructure and Mechanical Properties of Steels · High Temperature Alloys and Creep · Hydrogen embrittlement and corrosion behaviors in metals
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References (6)
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1. Improving prediction accuracy of high-performance materials via modified machine learning strategy10.1016/j.commatsci.2021.111181 ↗
2. Machine learning-based performance predictions for steels considering manufacturing process parameters: a review10.1007/s42243-024-01179-5 ↗
3. Application of machine learning to predict the mechanical properties of high strength steel at elevated temperatures based on the chemical composition10.1016/j.istruc.2023.03.085 ↗
4. Mechanical properties of ASTM A572 grades 50 and 60 steels at high temperatures10.3390/app112411833 ↗
5. An optimized machine-learning model for mechanical properties prediction and domain knowledge clarification in quenched and tempered steels10.1016/j.jmrt.2023.03.215 ↗
6. Dynamic deep learning to predict mechanical properties of high-strength low-alloy steels10.1007/s11661-024-07633-z ↗