Atomically precise single-crystal structures of electrically conducting 2D metal–organic frameworks
Name
paper124.pdf
Description
Accepted version
Size
3.49 MB
Format
Unknown
Checksum (MD5)
b9f1c8805310f5d400060827af02c0c7
Author(s) • • • • • • • • •
Dou, Jin-Hu
Arguilla, Maxx Q.
Luo, Yi
Li, Jian
Zhang, Weizhe
Sun, Lei
Mancuso, Jenna L.
Yang, Luming
Chen, Tianyang
Parent, Lucas R.
Date Issued
November 2020
Journal
Nature Materials
Publisher
Springer Science and Business Media LLC
Citation
Dou, Jin-Hu, Arguilla, Maxx Q, Luo, Yi, Li, Jian, Zhang, Weizhe et al. 2021. "Atomically precise single-crystal structures of electrically conducting 2D metal–organic frameworks." Nature Materials, 20 (2).
Version
Author's final manuscript
Abstract
© 2020, The Author(s), under exclusive licence to Springer Nature Limited. Electrically conducting 2D metal–organic frameworks (MOFs) have attracted considerable interest, as their hexagonal 2D lattices mimic graphite and other 2D van der Waals stacked materials. However, understanding their intrinsic properties remains a challenge because their crystals are too small or of too poor quality for crystal structure determination. Here, we report atomically precise structures of a family of 2D π-conjugated MOFs derived from large single crystals of sizes up to 200 μm, allowing atomic-resolution analysis by a battery of high-resolution diffraction techniques. A designed ligand core rebalances the in-plane and out-of-plane interactions that define anisotropic crystal growth. We report two crystal structure types exhibiting analogous 2D honeycomb-like sheets but distinct packing modes and pore contents. Single-crystal electrical transport measurements distinctively demonstrate anisotropic transport normal and parallel to the π-conjugated sheets, revealing a clear correlation between absolute conductivity and the nature of the metal cation and 2D sheet packing motif.
MIT Department
Massachusetts Institute of Technology. Department of Chemistry
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/s41563-020-00847-7