Topological Design of Graphene

  title={Topological Design of Graphene},
  author={Bo Ni and Teng Zhang and Jiaoyan Li and Xiaoyan Li and Huajian Gao},
  journal={Handbook of Graphene},
Topological defects (e.g. pentagons, heptagons and pentagon-heptagon pairs) have been widely observed in large scale graphene and have been recognized to play important roles in tailoring the mechanical and physical properties of two-dimensional materials in general. Thanks to intensive studies over the past few years, optimizing properties of graphene through topological design has become a new and promising direction of research. In this chapter, we review some of the recent advances in… Expand
Structural Defects, Mechanical Behaviors, and Properties of Two-Dimensional Materials
This review mainly emphasized the underlying deformation and fracture mechanisms and the influences of various defects on mechanical behaviors and properties, which boost the emergence and development of topological design and defect engineering. Expand
Pathways to controlled 3D deformation of graphene: Manipulating the motion of topological defects
Abstract Functional properties of 2D materials like graphene can be tailored by designing their 3D structure at the Angstrom to nanometer scale. While there are routes to tailoring 3D structure atExpand
Enhanced Bonding of Pentagon–Heptagon Defects in Graphene to Metal Surfaces: Insights from the Adsorption of Azulene and Naphthalene to Pt(111)
The performance of graphene-based (opto)electronic devices depends critically on the graphene/metal interface formed at the metal contacts. We show here that the interface properties may be control...
Deep Learning Segmentation of Complex Features in Atomic-Resolution Phase-Contrast Transmission Electron Microscopy Images
This study compares the performance of a conventional Bragg filtering method with a deep learning routine based on the U-Net architecture and shows that the deep learning method is more general, simpler to apply in practice, and produces more accurate and robust results than the conventional algorithm. Expand
S1431927621000167jra 804..814
  • 2021


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