Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS) – A state-of-the-art review
Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS) – A state-of-the-art review
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DOI：
10.1039/d1ee02395k
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发表时间：
2021
影响因子：
32.5
通讯作者：
Yongliang Yan;T. Borhani;Gokul Subraveti;Nagesh Pai;V. Prasad;A. Rajendran;Paula Nkulikiyinka;Jude O. Asibor;Zhien Zhang;Ding Shao;Lijuan Wang;Wenbiao Zhang;Yongliang Yan;W. Ampomah;Junyu You;Meihong Wang;E. Anthony;V. Manović;P. Clough
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文献类型：
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作者：
Yongliang Yan;T. Borhani;Gokul Subraveti;Nagesh Pai;V. Prasad;A. Rajendran;Paula Nkulikiyinka;Jude O. Asibor;Zhien Zhang;Ding Shao;Lijuan Wang;Wenbiao Zhang;Yongliang Yan;W. Ampomah;Junyu You;Meihong Wang;E. Anthony;V. Manović;P. Clough
碳捕获、利用和储存(CCUS)将在未来的脱碳努力中发挥关键作用，以实现《巴黎协定》的目标并缓解气候变化的最坏影响。同时..。
Carbon Capture Utilisation and Storage (CCUS) will play a critical role in future decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of climate change. Whilst...