The past decade has seen a huge growth in artificial intelligence (AI) and machine learning (ML) approaches being applied to challenges in chemical science. These approaches are powerful tools for improving our understanding of the environment to build a cleaner, safer, more sustainable and equitable planet. This special collection of Environmental Science: Advances welcomes all studies that use AI and ML to advance our understanding of the physical environment, environmental health, and environmental sustainability, or to provide solutions to challenges in these areas.
开放投稿截至 2023 年 4 月 30 日
您可以通过投稿系统 (https://mc.manuscriptcentral.com/va) 向本专题合辑投稿,请在投稿系统中“Note to the Editor”中备注您的稿件来自公开征稿。
Office reserves the right to check the suitability of submissions in relation to the scope of both the journal and the collection, and the inclusion of accepted articles in the final themed issue is not guaranteed. All submissions undergo our fair and impartial peer-review and accepted articles will be published online in a citeable form, included in the web collection and published in an issue as soon as they are ready.
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Environ. Sci. Adv.
A new home for all environmental work addressing global challenges