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Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS) – a state-of-the-art review

Yongliang Yan, Yongliang Yan, Tohid N. Borhani, Sai Gokul Subraveti, Kasturi Nagesh Pai, Vinay Prasad, Arvind Rajendran, Paula Nkulikiyinka, Jude O. Asibor, Zhien Zhang, Ding Shao, Lijuan Wang, Wenbiao Zhang, Yong Yan, Yong Yan, William Ampomah, Junyu You, Meihong Wang, Edward J. Anthony, Vasilije Manović, Peter T. Clough

2021Energy & Environmental Science293 citationsDOIOpen Access PDF

Abstract

A review of the state-of-the-art applications of machine learning for CO 2 capture, transport, storage, and utilisation.

Topics & Concepts

State (computer science)Power (physics)Computer scienceCarbon fibersState of artProcess engineeringData scienceEngineeringPhysicsProgramming languageAlgorithmQuantum mechanicsComposite numberCarbon Dioxide Capture TechnologiesAtmospheric and Environmental Gas DynamicsCO2 Sequestration and Geologic Interactions
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