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Strain-Induced asymmetry and on-site dynamics of silicon defects in graphene

Journal Article · · Carbon Trends
 [1];  [2];  [1];  [3];  [4];  [5];  [1];  [6];  [1];  [3];  [1]
  1. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Center for Nanophase Materials Sciences (CNMS)
  2. Florida State University, Tallahassee, FL (United States)
  3. University of Tennessee, Knoxville, TN (United States)
  4. University of Manchester (United Kingdom)
  5. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Center for Nanophase Materials Sciences (CNMS); University of Tennessee, Knoxville, TN (United States)
  6. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
In the last decade, the atomically-focused electron beams utilized in scanning transmission electron microscopes (STEMs) have been shown to induce a broad set of local structural transformations in materials, opening pathways for directing material synthesis and modification atom-by-atom. The mechanisms underlying these transformations remain largely unknown, due to the intractability of modeling the myriad of reaction pathways that can be accessed through high-energy electron scattering. The information on materials’ structure and dynamics that can be extracted from STEM images is similarly left underexplored. Here, we report the observation of anomalous on-site dynamics of individual silicon impurity atoms in graphene during STEM imaging. Density functional theory-based structural optimizations of anisotropically-strained molecular nanographenes reveal two distinct (but nearly degenerate) stable structures for four-fold coordinated silicon impurities, where interconversion between the two structures manifests slight changes of the silicon position within the lattice site. Implications for defect-based strain engineering in graphene are discussed.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division; USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR). Scientific Discovery through Advanced Computing (SciDAC); National Science Foundation (NSF); Alan Turing Institute
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1876355
Alternate ID(s):
OSTI ID: 1996742
Journal Information:
Carbon Trends, Journal Name: Carbon Trends Journal Issue: 1 Vol. 9; ISSN 2667-0569
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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