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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| 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 |