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Cited article:

Artificial intelligence–driven evolution and system integration for geological carbon capture, utilization, and storage

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https://doi.org/10.1016/j.marger.2026.207686

Machine Learning and Reinforcement Learning-Driven Optimization of Carbon Capture and Storage Processes and Their Environmental Impact Assessment

Xihan Wang
Applied Mathematics and Nonlinear Sciences 10 (1) (2025)
https://doi.org/10.2478/amns-2025-0841

Artificial intelligence in adsorption process optimization: A 2014–2024 bibliometric analysis of research trends and developments

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Results in Engineering 28 107777 (2025)
https://doi.org/10.1016/j.rineng.2025.107777