Explainable metaheuristic-optimized XGBoost models for accurate prediction of CO2 capture by graphene-based adsorbents

The continued rise in atmospheric CO2 levels is a major driver of global climate change, necessitating the development of effective carbon capture strategies. Among these strategies, adsorption-based CO2 removal using engineered nanomaterials offers a promising approach due to its energy efficiency,...

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Ngā kaituhi matua:	Hamdi A. Al-Jamimi, Mohammed A.A. Elgzoly, Sadam Al-Azani, Sagheer A. Onaizi
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Elsevier 2026-07-01
Rangatū:	JCIS Open
Ngā marau:	Artificial intelligence Metaheuristic optimization Explainability CO2 adsorption Graphene oxide (GO) Reduced graphene oxide (rGO)
Urunga tuihono:	http://www.sciencedirect.com/science/article/pii/S2666934X26000103
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!