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Computer-aided discovery of a metal–organic framework with superior oxygen uptake
Current advances in materials science have resulted in the rapid emergence of thousands of functional adsorbent materials in recent years. This clearly creates multiple opportunities for their potential application, but it also creates the following challenge: how does one identify the most promisin...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895810/ https://www.ncbi.nlm.nih.gov/pubmed/29643387 http://dx.doi.org/10.1038/s41467-018-03892-8 |
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author | Moghadam, Peyman Z. Islamoglu, Timur Goswami, Subhadip Exley, Jason Fantham, Marcus Kaminski, Clemens F. Snurr, Randall Q. Farha, Omar K. Fairen-Jimenez, David |
author_facet | Moghadam, Peyman Z. Islamoglu, Timur Goswami, Subhadip Exley, Jason Fantham, Marcus Kaminski, Clemens F. Snurr, Randall Q. Farha, Omar K. Fairen-Jimenez, David |
author_sort | Moghadam, Peyman Z. |
collection | PubMed |
description | Current advances in materials science have resulted in the rapid emergence of thousands of functional adsorbent materials in recent years. This clearly creates multiple opportunities for their potential application, but it also creates the following challenge: how does one identify the most promising structures, among the thousands of possibilities, for a particular application? Here, we present a case of computer-aided material discovery, in which we complete the full cycle from computational screening of metal–organic framework materials for oxygen storage, to identification, synthesis and measurement of oxygen adsorption in the top-ranked structure. We introduce an interactive visualization concept to analyze over 1000 unique structure–property plots in five dimensions and delimit the relationships between structural properties and oxygen adsorption performance at different pressures for 2932 already-synthesized structures. We also report a world-record holding material for oxygen storage, UMCM-152, which delivers 22.5% more oxygen than the best known material to date, to the best of our knowledge. |
format | Online Article Text |
id | pubmed-5895810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58958102018-04-13 Computer-aided discovery of a metal–organic framework with superior oxygen uptake Moghadam, Peyman Z. Islamoglu, Timur Goswami, Subhadip Exley, Jason Fantham, Marcus Kaminski, Clemens F. Snurr, Randall Q. Farha, Omar K. Fairen-Jimenez, David Nat Commun Article Current advances in materials science have resulted in the rapid emergence of thousands of functional adsorbent materials in recent years. This clearly creates multiple opportunities for their potential application, but it also creates the following challenge: how does one identify the most promising structures, among the thousands of possibilities, for a particular application? Here, we present a case of computer-aided material discovery, in which we complete the full cycle from computational screening of metal–organic framework materials for oxygen storage, to identification, synthesis and measurement of oxygen adsorption in the top-ranked structure. We introduce an interactive visualization concept to analyze over 1000 unique structure–property plots in five dimensions and delimit the relationships between structural properties and oxygen adsorption performance at different pressures for 2932 already-synthesized structures. We also report a world-record holding material for oxygen storage, UMCM-152, which delivers 22.5% more oxygen than the best known material to date, to the best of our knowledge. Nature Publishing Group UK 2018-04-11 /pmc/articles/PMC5895810/ /pubmed/29643387 http://dx.doi.org/10.1038/s41467-018-03892-8 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Moghadam, Peyman Z. Islamoglu, Timur Goswami, Subhadip Exley, Jason Fantham, Marcus Kaminski, Clemens F. Snurr, Randall Q. Farha, Omar K. Fairen-Jimenez, David Computer-aided discovery of a metal–organic framework with superior oxygen uptake |
title | Computer-aided discovery of a metal–organic framework with superior oxygen uptake |
title_full | Computer-aided discovery of a metal–organic framework with superior oxygen uptake |
title_fullStr | Computer-aided discovery of a metal–organic framework with superior oxygen uptake |
title_full_unstemmed | Computer-aided discovery of a metal–organic framework with superior oxygen uptake |
title_short | Computer-aided discovery of a metal–organic framework with superior oxygen uptake |
title_sort | computer-aided discovery of a metal–organic framework with superior oxygen uptake |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895810/ https://www.ncbi.nlm.nih.gov/pubmed/29643387 http://dx.doi.org/10.1038/s41467-018-03892-8 |
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