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Deep Learning Models for Predicting Gas Adsorption Capacity of Nanomaterials
Metal–organic frameworks (MOFs), a class of porous nanomaterials, have been widely used in gas adsorption-based applications due to their high porosities and chemical tunability. To facilitate the discovery of high-performance MOFs for different applications, a variety of machine learning models hav...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565823/ https://www.ncbi.nlm.nih.gov/pubmed/36234502 http://dx.doi.org/10.3390/nano12193376 |