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Supramolecular Assembly of Fused Macrocycle-Cage Molecules for Fast Lithium-Ion Transport

  • Yuzhe Wang
  • , Kaiyang Wang
  • , Qing Ai
  • , Stephen D. Funni
  • , Ashutosh Garudapalli
  • , Qiyi Fang
  • , Suin Choi
  • , Gangbin Yan
  • , Shayan Louie
  • , Chong Liu
  • , Jun Lou
  • , Judy J. Cha
  • , Jingjie Yeo
  • , Zexin Jin*
  • , Yu Zhong*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

We report a new supramolecular porous crystal assembled from fused macrocycle-cage molecules. The molecule comprises a prismatic cage with three macrocycles radially attached. The molecules form a nanoporous crystal with one-dimensional (1D) nanochannels. The supramolecular porous crystal can take up lithium-ion electrolytes and achieve an ionic conductivity of up to 8.3 × 10-4 S/cm. Structural analysis and density functional theory calculations reveal that efficient Li-ion electrolyte uptake, the presence of 1D nanochannels, and weak interactions between lithium ions and the crystal enable fast lithium-ion transport. Our findings demonstrate the potential of fused macrocycle-cage molecules as a new design motif for ion-conducting molecular crystals. © 2024 American Chemical Society.
Original languageEnglish
Pages (from-to)25433-25438
Number of pages6
JournalJournal of the American Chemical Society
Volume146
Issue number37
Online published9 Sept 2024
DOIs
Publication statusPublished - 18 Sept 2024
Externally publishedYes

Funding

This work was supported by Cornell University through startup funding. Yuzhe Wang was supported by the engineering learning initiatives (ELI) undergraduate research award under the Dean Archer Undergraduate Research Program. The authors acknowledge the use of facilities and instrumentation supported by NSF through the Cornell University Materials Research Science and Engineering Center DMR-1719875, the Columbia University Materials Research Science and Engineering Center DMR-2011738, and the Columbia University MRI award CHE-1531632. STEM and EDS characterizations were supported by DOE BES DE-SC0023905. Research reported in this publication was supported by the Office of The Director of the National Institutes of Health under Award Number S10OD026749. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. J.L. acknowledges funding from The Welch Foundation Grant C-1716. Z.J. acknowledges funding from Research Center for Industries of the Future at Westlake University and Westlake Education Foundation. We thank Qiuming Yu for helping with EIS measurements.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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