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Intelligent prediction models based on machine learning for CO(2) capture performance by graphene oxide-based adsorbents

Designing a model to connect CO(2) adsorption data with various adsorbents based on graphene oxide (GO) which is produced from various forms of solid biomass, can be a promising method to develop novel and efficient adsorbents for CO(2) adsorption application. In this work, the information of severa...

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Detalles Bibliográficos
Autores principales: Fathalian, Farnoush, Aarabi, Sepehr, Ghaemi, Ahad, Hemmati, Alireza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747901/
https://www.ncbi.nlm.nih.gov/pubmed/36513731
http://dx.doi.org/10.1038/s41598-022-26138-6