Synergizing advanced materials and artificial intelligence for next-generation carbon capture, utilization, and storage (CCUS): a review

Somia Mazhar; Muhammad Waseem Mumtaz; Mohamed El Oirdi; Hamid Mukhtar; Muhammad Asam Raza; Mohd Farhan; Mohammad Aatif; Ghazala Muteeb

doi:10.1039/d5ra07338c

January 1, 2026RSC AdvancesOpen Access

Synergizing advanced materials and artificial intelligence for next-generation carbon capture, utilization, and storage (CCUS): a review

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Key Points

The central aim is to explore the integration of advanced materials and artificial intelligence in carbon capture and utilization technologies.
Review of current tools and applications of artificial intelligence in carbon capture technologies.
Analysis of various advanced materials used in the carbon capture process.
Discussion of the synergies between advanced materials and AI/ML tools.
Identified various AI applications enhancing carbon capture technologies.
Highlighted the role of advanced materials in improving effectiveness of carbon capture and utilization.
Demonstrated significant potential for synergies between AI and advanced materials.

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Implication

Review highlights artificial intelligence tools enhancing carbon capture and utilization technologies, indicating significant potential for future advancements.

Abstract

This review provides insights into several material and AI/ML tools for CCUS technology.

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Cite This Study

Mazhar et al. (2026) studied this question.

synapsesocial.com/papers/6966f32713bf7a6f02c00f19 https://doi.org/10.1039/d5ra07338c

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Synergizing advanced materials and artificial intelligence for next-generation carbon capture, utilization, and storage (CCUS): a review

Key Points

No abstract yet

Implication

Abstract

Discussion

Cite This Study

Synergizing advanced materials and artificial intelligence for next-generation carbon capture, utilization, and storage (CCUS): a review

Key Points

No abstract yet

Implication

Abstract

Discussion

Cite This Study

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