Correction to "Leveraging Machine Learning To Predict the Atmospheric Lifetime and the Global Warming Potential of SF6 Replacement Gases".

IF 2.8 2区 化学 Q3 CHEMISTRY, PHYSICAL The Journal of Physical Chemistry A Pub Date : 2025-01-23 Epub Date: 2025-01-09 DOI:10.1021/acs.jpca.5c00016
Guobin Zhao, Haewon Kim, Changwon Yang, Yongchul G Chung
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更正“利用机器学习预测SF6替代气体的大气寿命和全球变暖潜力”。
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来源期刊
The Journal of Physical Chemistry A
The Journal of Physical Chemistry A 化学-物理:原子、分子和化学物理
CiteScore
5.20
自引率
10.30%
发文量
922
审稿时长
1.3 months
期刊介绍: The Journal of Physical Chemistry A is devoted to reporting new and original experimental and theoretical basic research of interest to physical chemists, biophysical chemists, and chemical physicists.
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