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Title: Imaging crystal stress in diamond using ensembles of nitrogen-vacancy centers

Abstract

We present a micrometer-resolution and millimeter-field-of-view stress imaging method for diamonds containing a thin surface layer of nitrogen vacancy (NV) color centers. In this method, we reconstruct stress tensor elements over a two-dimensional field of view from NV optically-detected magnetic resonance (ODMR) spectra. We use this technique to study how stress inhomogeneity affects NV magnetometry performance, and show how NV stress imaging is a useful and direct way to assess these effects. This new tool for mapping stress in diamond will aid optimization of NV-diamond sensing, with wide-ranging applications in the physical and life sciences.

Authors:
ORCiD logo [1];  [2];  [2];  [3];  [2];  [4];  [2];  [5]
  1. Harvard Univ., Cambridge, MA (United States); Harvard-Smithsonian Center for Astrophysics, Cambridge, MA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Harvard Univ., Cambridge, MA (United States)
  3. Harvard Univ., Cambridge, MA (United States); Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
  4. Univ. of Chicago, IL (United States)
  5. Harvard Univ., Cambridge, MA (United States); Harvard-Smithsonian Center for Astrophysics, Cambridge, MA (United States)
Publication Date:
Research Org.:
Smithsonian Astrophysical Observatory, Cambridge, MA (United States)
Sponsoring Org.:
USDOE Office of Science (SC); Fannie and John Hertz Foundation Graduate Fellowship; National Science Foundation Graduate Research Fellowship; Defense Advanced Research Projects Agency (DARPA); DRINQS; Air Force Office of Sci-entific Research Award; National Science Foundation (NSF)
OSTI Identifier:
1594039
Grant/Contract Number:  
[SC0019396; D18AC00033; F A9550-17-1-0371; PHY-1504610; EAR 1647504; 1541959.]
Resource Type:
Accepted Manuscript
Journal Name:
Physical Review B
Additional Journal Information:
[ Journal Volume: 100; Journal Issue: 17]; Journal ID: ISSN 2469-9950
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; Birefringence; Color centers; NV centers; Strain; Nitrogen vacancy centers in diamond; Magnetic techniques

Citation Formats

Kehayias, P., Turner, M. J., Trubko, R., Schloss, J. M., Hart, C. A., Wesson, M., Glenn, D. R., and Walsworth, R. L. Imaging crystal stress in diamond using ensembles of nitrogen-vacancy centers. United States: N. p., 2019. Web. doi:10.1103/PhysRevB.100.174103.
Kehayias, P., Turner, M. J., Trubko, R., Schloss, J. M., Hart, C. A., Wesson, M., Glenn, D. R., & Walsworth, R. L. Imaging crystal stress in diamond using ensembles of nitrogen-vacancy centers. United States. doi:10.1103/PhysRevB.100.174103.
Kehayias, P., Turner, M. J., Trubko, R., Schloss, J. M., Hart, C. A., Wesson, M., Glenn, D. R., and Walsworth, R. L. Mon . "Imaging crystal stress in diamond using ensembles of nitrogen-vacancy centers". United States. doi:10.1103/PhysRevB.100.174103.
@article{osti_1594039,
title = {Imaging crystal stress in diamond using ensembles of nitrogen-vacancy centers},
author = {Kehayias, P. and Turner, M. J. and Trubko, R. and Schloss, J. M. and Hart, C. A. and Wesson, M. and Glenn, D. R. and Walsworth, R. L.},
abstractNote = {We present a micrometer-resolution and millimeter-field-of-view stress imaging method for diamonds containing a thin surface layer of nitrogen vacancy (NV) color centers. In this method, we reconstruct stress tensor elements over a two-dimensional field of view from NV optically-detected magnetic resonance (ODMR) spectra. We use this technique to study how stress inhomogeneity affects NV magnetometry performance, and show how NV stress imaging is a useful and direct way to assess these effects. This new tool for mapping stress in diamond will aid optimization of NV-diamond sensing, with wide-ranging applications in the physical and life sciences.},
doi = {10.1103/PhysRevB.100.174103},
journal = {Physical Review B},
number = [17],
volume = [100],
place = {United States},
year = {2019},
month = {11}
}

Journal Article:
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