Liu, H.-X.; Yan, H.-L.; Jia, N.; Yang, B.; Li, Z.; Zhao, X.; Zuo, L.
Machine Learning-Assisted Discovery of Empirical Rule for Martensite Transition Temperature of Shape Memory Alloys. Materials 2025, 18, 2226.
https://doi.org/10.3390/ma18102226
AMA Style
Liu H-X, Yan H-L, Jia N, Yang B, Li Z, Zhao X, Zuo L.
Machine Learning-Assisted Discovery of Empirical Rule for Martensite Transition Temperature of Shape Memory Alloys. Materials. 2025; 18(10):2226.
https://doi.org/10.3390/ma18102226
Chicago/Turabian Style
Liu, Hao-Xuan, Hai-Le Yan, Nan Jia, Bo Yang, Zongbin Li, Xiang Zhao, and Liang Zuo.
2025. "Machine Learning-Assisted Discovery of Empirical Rule for Martensite Transition Temperature of Shape Memory Alloys" Materials 18, no. 10: 2226.
https://doi.org/10.3390/ma18102226
APA Style
Liu, H.-X., Yan, H.-L., Jia, N., Yang, B., Li, Z., Zhao, X., & Zuo, L.
(2025). Machine Learning-Assisted Discovery of Empirical Rule for Martensite Transition Temperature of Shape Memory Alloys. Materials, 18(10), 2226.
https://doi.org/10.3390/ma18102226
