Application of Machine Learning Algorithms to Predict Gas Sorption Capacity in Heterogeneous Porous Material

Shale gas is a clean and effective energy source that plays a big part in the transition from high-carbon to low-carbon energy, serving as a link for the growth of low-carbon energy in the future. Since shale rock is a heterogeneous porous material, the best production strategy is determined by a pr...

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Detalhes bibliográficos

Principais autores:	Tasbiha Ibad, Syed Muhammad Ibad, Haylay Tsegab, Rabeea Jaffari
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-05-01
coleção:	Resources
Assuntos:	clean energy heterogeneous porous material artificial neural network
Acesso em linha:	https://www.mdpi.com/2079-9276/14/5/80
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