The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Materials genomics methods for high-throughput construction of COFs and targeted synthesis
Open accessAbstract
Materials genomics represents a research mode for materials development, for which reliable methods for efficient materials construction are essential. Here we present a methodology for high-throughput construction of covalent organic frameworks (COFs) based on materials genomics strategy, in which a gene partition method of genetic structural units (GSUs) with reactive sites and quasi-reactive assembly algorithms (QReaxAA) for structure generation were proposed by mimicking the natural growth processes of COFs, leading to a library of 130 GSUs and a database of ~470,000 materials containing structures with 10 unreported topologies as well as the existing COFs. As a proof-of-concept example, two generated 3D-COFs with ffc topology and two 2D-COFs with existing topologies were successfully synthesized. This work not only presents useful genomics methods for developing COFs and largely extended the COF structures, but also will stimulate the switch of materials development mode from trial-and-error to theoretical prediction-experimental validation.
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Cites
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Microporous framework membranes for precise molecule/ion separations
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Modeling of multi-scale transport phenomena in shale gas production — A critical review
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Metadata
- Authors
- Lan, Y., Han, X., Tong, M., Huang, H., Yang, Q., Liu, D., Zhao, X., & Zhong, C.
- Venue
- Nature Communications
- Published
- 2018-12-10
- Volume
- 9
- Issue
- 1
- Pages
- 5274-5274
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2902702590
- Cited by
- 282
- References
- 49
- FWCI
- 7.86
- Type
- journal article
- Language
- en
- Open access
- gold
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- Lan, Y., Han, X., Tong, M., Huang, H., Yang, Q., Liu, D., Zhao, X., & Zhong, C. (2018). Materials genomics methods for high-throughput construction of COFs and targeted synthesis. Nature Communications. https://doi.org/10.1038/s41467-018-07720-x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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