Borophene Concentric Superlattices via Self-Assembly of Twin Boundaries

Liren Liu, Zhuhua Zhang*, Xiaolong Liu, Xiaoyu Xuan, Boris I. Yakobson, Mark C. Hersam, Wanlin Guo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Due to its in-plane structural anisotropy and highly polymorphic nature, borophene has been shown to form a diverse set of linear superlattice structures that are not observed in other two-dimensional materials. Here, we show both theoretically and experimentally that concentric superlattice structures can also be realized in borophene via the energetically preferred self-Assembly of coherent twin boundaries. Since borophene twin boundaries do not require the creation of additional lattice defects, they are exceptionally low in energy and thus easier to nucleate and even migrate than grain boundaries in other two-dimensional materials. Due to their high mobility, borophene twin boundaries naturally self-Assemble to form novel phases consisting of periodic concentric loops of filled boron hexagons that are further preferred energetically by the rotational registry of borophene on the Ag(111) surface. Compared to defect-free borophene, concentric superlattice borophene phases are predicted to possess enhanced mechanical strength and localized electronic states. Overall, these results establish defect-mediated self-Assembly as a pathway to unique borophene structures and properties.

Original languageEnglish (US)
Pages (from-to)1315-1321
Number of pages7
JournalNano letters
Volume20
Issue number2
DOIs
StatePublished - Feb 12 2020

Keywords

  • Boron nanostructure
  • density functional theory calculation
  • superlattice
  • twin boundary
  • two-dimensional material

ASJC Scopus subject areas

  • Bioengineering
  • Chemistry(all)
  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Borophene Concentric Superlattices via Self-Assembly of Twin Boundaries'. Together they form a unique fingerprint.

Cite this