背景(考古学)
晶体工程
计算机科学
一致性(知识库)
多孔性
分类学(生物学)
多孔介质
吸附
金属有机骨架
纳米技术
人工智能
材料科学
晶体结构
生物
化学
超分子化学
生态学
结晶学
古生物学
有机化学
吸附
复合材料
作者
Daniel J. O’Hearn,Alankriti Bajpai,Michael J. Zaworotko
出处
期刊:Small
[Wiley]
日期:2021-03-10
卷期号:17 (22): e2006351-e2006351
被引量:46
标识
DOI:10.1002/smll.202006351
摘要
Abstract New approaches to gas/vapor storage and purification are urgently needed to address the large energy footprint, cost, and/or risk associated with existing technologies. In this context, new classes of porous physisorbents, exemplified by porous coordination networks (PCNs), have emerged. There are now >100 000 entries in the Cambridge Structural Database (CSD) metal‐organic framework (MOF) subset and the rate of publication, >5000 per year, grows unabatedly. The number of PCNs makes it infeasible to test all of them for sorption performance and it is therefore timely to introduce a classification approach based upon taxonomy to supplement topological classification of PCNs. This taxonomic approach complements existing databases such as the CSD and enable the design (crystal engineering) of new families of PCNs. It also categorizes existing PCNs in a manner useful to crystal engineers. The internal consistency of the taxonomic approach is verified by case studies of several well‐known PCNs whereas its utility is demonstrated upon understudied topologies and hard‐to‐rationalize infinite rod building blocks. Overall, taxonomic classification enables a traffic light system to direct crystal engineers towards finding a “needle in haystack,” that is, a family (platform) of PCNs that is amenable to crystal engineering and systematic structure/property studies.
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