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Machine Learning Meets with Metal Organic Frameworks for Gas Storage and Separation

[Image: see text] The acceleration in design of new metal organic frameworks (MOFs) has led scientists to focus on high-throughput computational screening (HTCS) methods to quickly assess the promises of these fascinating materials in various applications. HTCS studies provide a massive amount of st...

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Detalhes bibliográficos
Publicado no:J Chem Inf Model
Main Authors: Altintas, Cigdem, Altundal, Omer Faruk, Keskin, Seda, Yildirim, Ramazan
Formato: Artigo
Idioma:Inglês
Publicado em: American Chemical Society 2021
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8154255/
https://ncbi.nlm.nih.gov/pubmed/33914526
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.jcim.1c00191
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