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January 22, 2026Nature Chemistry14 citationsOpen Access

Towards single-crystalline two-dimensional poly(arylene vinylene) covalent organic frameworks

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SGShaik GhouseZGZiang GuoYLYixiao Liu

Key Points

  • To develop a method for synthesizing highly crystalline two-dimensional poly(arylene vinylene) covalent organic frameworks.
  • Introduced a Mannich-elimination strategy for synthesis.
  • Converted 8 imine-cof frameworks into 11 highly crystalline 2D PAVs.
  • Used high-resolution transmission electron microscopy for structural analysis.
  • Achieved a specific surface area up to ∼2,000 m²/g.
  • Demonstrated crystalline 2D PAVs with charge mobilities tenfold higher than amorphous counterparts.
  • Confirmed molecular-level ordering in a triphenylbenzene-based single crystal.

Abstract

Abstract Vinylene-linked two-dimensional (2D) conjugated covalent organic frameworks, or 2D poly(arylene vinylene)s (2D PAVs), are promising polymer semiconductors for (opto-)electronics, photocatalysis and electrochemistry. However, conventional solvothermal synthesis often produces 2D PAVs that are poorly crystalline or difficult to access. Here we introduce a Mannich-elimination strategy that converts 8 2D imine-covalent organic frameworks into 11 highly crystalline 2D PAVs though a reversible C=C bond formation mechanism enabling precise crystallization control. This versatile approach affords robust 2D PAVs with honeycomb, square or kagome lattices, specific surface area up to ∼2,000 m 2 g −1 and lattice-mismatch tolerance up to 3.5%. High-resolution transmission electron microscopy and continuous rotation electron diffraction reveal molecular-level ordering in a 2-µm-sized triphenylbenzene-based single-crystalline 2D PAV. We demonstrate that crystallinity profoundly influences charge transport, with benzotrithiophene-based 2D PAVs exhibiting charge mobilities tenfold higher than their amorphous analogues or 2D polyimine precursors. This work establishes a general route to highly crystalline 2D conjugated polymer materials for robust applications.

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Cite This Study

Ghouse et al. (2026) studied this question.

synapsesocial.com/papers/6971be10642b1836717e2bb8https://doi.org/10.1038/s41557-025-02048-8
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