Artificial intelligence enabled carbon capture: A review.

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Abstract

Carbon capturing is imperative to fight climate change as much carbon emissions are liberated into the atmosphere, leading to adversely negative environmental impacts. Today’s world addresses all the issues with the aid of digital technologies like data pooling and artificial intelligence (AI). Accordingly, this study is articulated based on AI-assisted carbon capturing. Techniques including machine learning (ML), deep learning (DL), and hybrid techniques being adopted in carbon capture are discussed. The role of AI tools, frameworks, and mathematical models are also discussed herein. Furthermore, the confluence of AI in carbon capture patent landscape is explored. This study would allow researchers to envision the growth of AI-assisted carbon capture in mitigating climate change and meeting SDG 13 – climate action.Copyright © 2023. Published by Elsevier B.V.