校正:化学信息主动学习使自愈聚氨的数据效率高的多目标优化成为可能
Kang Liang1, Xinke Qi1, Xu Xiao1
1Henan Key Laboratory of Protection and Safety Energy Storage of Light Metal Materials, College of Chemistry and Molecular Sciences, Henan University Kaifeng 475004 China chemwangl@henu.edu.cn zhangjinglai@henu.edu.cn.
Chemical science
|January 26, 2026
概括
本研究详细对先前发表的文章进行了纠正,以确保科学数据和研究结果的准确性. 对于依赖科学记录完整性的研究人员来说,更新的信息至关重要.
科学领域:
- 化学 化学 化学
- 材料科学 材料科学 材料科学
背景情况:
- 确保发表的科学文献的准确性对于可复制的研究至关重要.
- 以前的出版物可能包含需要纠正以保持科学完整性的错误.
研究的目的:
- 在以前发表的文章中正式纠正错误.
- 为预期的出版物提供准确的数字物体标识符 (DOI).
主要方法:
- 发出了一份正式的纠正通知.
- 确定了正确的DOI并进行了交叉引用.
主要成果:
- 文章DOI: 10.1039/D5SC07752D已经被纠正.
- 预期的出版物现在准确地引用了.
结论:
- 准确的引用对科学界至关重要.
- 这种纠正确保了正确的归因和对研究的访问.
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