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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...
שמור ב:
| הוצא לאור ב: | J Chem Inf Model |
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| Main Authors: | , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
American Chemical
Society
2021
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| גישה מקוונת: | 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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