• 文献标题:   Bottom-up synthesis of graphene films hosting atom-thick molecular-sieving apertures
  • 文献类型:   Article
  • 作  者:   VILLALOBOS LF, VAN GOETHEM C, HSU KJ, LI SX, MORADI M, ZHAO KN, DAKHCHOUNE M, HUANG SQ, SHEN YQ, OVEISI E, BOUREAU V, AGRAWAL KV
  • 作者关键词:   intrinsic vacancy defect, nanocrystalline graphene, nanopore, lowtemperature growth, graphene membrane
  • 出版物名称:   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
  • ISSN:   0027-8424
  • 通讯作者地址:  
  • 被引频次:   8
  • DOI:   10.1073/pnas.2022201118
  • 出版年:   2021

▎ 摘  要

Incorporation of a high density of molecular-sieving nanopores in the graphene lattice by the bottom-up synthesis is highly attractive for high-performance membranes. Herein, we achieve this by a controlled synthesis of nanocrystalline graphene where incomplete growth of a few nanometer-sized, misoriented grains generates molecular-sized pores in the lattice. The density of pores is comparable to that obtained by the state-of-the-art postsynthetic etching (1012 cm-2) and is up to two orders of magnitude higher than that of molecular-sieving intrinsic vacancy defects in singlelayer graphene (SLG) prepared by chemical vapor deposition. The porous nanocrystalline graphene (PNG) films are synthesized by precipitation of C dissolved in the Ni matrix where the C concentration is regulated by controlled pyrolysis of precursors (polymers and/or sugar). The PNG film is made of few-layered graphene except near the grain edge where the grains taper down to a single layer and eventually terminate into vacancy defects at a node where three or more grains meet. This unique nanostructure is highly attractive for the membranes because the layered domains improve the mechanical robustness of the film while the atom-thick molecular-sized apertures allow the realization of large gas transport. The combination of gas permeance and gas pair selectivity is comparable to that from the nanoporous SLG membranes prepared by state-of-the-art postsynthetic lattice etching. Overall, the method reported here improves the scale-up potential of graphene membranes by cutting down the processing steps.