Prediction of narrow HT-SMA thermal hysteresis using machine learning: A data file
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These data are reported in a research article entitled “Prediction of narrow HT-SMA thermal hysteresis behaviour using explainable machine learning” [1]. Reference: [1] Ronald Machaka, Precious M. Radingoana, Prediction of narrow HT-SMA thermal hysteresis behaviour using explainable machine learning, Mater. Today Commun. 35 (2023) 105806. https://doi.org/10.1016/j.mtcomm.2023.105
本数据集相关数据发表于一篇题为《采用可解释机器学习预测窄带高温形状记忆合金（High Temperature Shape Memory Alloy, HT-SMA）热滞行为》的研究论文[1]。
参考文献[1]：Ronald Machaka、Precious M. Radingoana，采用可解释机器学习预测窄带高温形状记忆合金热滞行为，《今日材料通讯》（Mater. Today Commun.）35 (2023) 105806. https://doi.org/10.1016/j.mtcomm.2023.105
