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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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Detalles Bibliográficos
Autores principales:	Altintas, Cigdem, Altundal, Omer Faruk, Keskin, Seda, Yildirim, Ramazan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Chemical Society 2021
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154255/ https://www.ncbi.nlm.nih.gov/pubmed/33914526 http://dx.doi.org/10.1021/acs.jcim.1c00191

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