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Unveiling the inherent properties and impact of ultrafine nanobubbles in polar and alcoholic media through unsupervised machine learning and atomic insight

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DataCite Commons2024-07-02 更新2024-07-13 收录
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https://brunel.figshare.com/articles/dataset/Unveiling_the_inherent_properties_and_impact_of_ultrafine_nanobubbles_in_polar_and_alcoholic_media_through_unsupervised_machine_learning_and_atomic_insight/26139844
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资源简介:
The dataset include all the data used in the following publication. Hassanloo, Hamidreza, and Xinyan Wang. "Unveiling the inherent properties and impact of ultrafine nanobubbles in polar and alcoholic media through unsupervised machine learning and atomic insight." <em>International Journal of Thermofluids</em> (2024): 100734. <br> <br>

本数据集涵盖下述已发表学术论文中所使用的全部数据。 Hamidreza Hassanloo与王新艳所撰写的论文《基于无监督机器学习(unsupervised machine learning)与原子级洞察揭示极性及醇介质中超细纳米气泡的固有特性与影响》发表于《International Journal of Thermofluids(国际热流体期刊)》2024年,文章编号为100734。
提供机构:
Brunel University London
创建时间:
2024-07-02
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