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Deep Learning Enabled Measurements of Single-Atom Defects in 2D Transition Metal Dichalcogenides with Sub-Picometer Precision

  • Chia-Hao Lee (a1), Chuqiao Shi (a1), Di Luo (a2), Abid Khan (a2), Blanka E. Janicek (a1), Sangmin Kang (a3), Wenjuan Zhu (a3), Bryan K. Clark (a2) and Pinshane Y. Huang (a1)...
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      Deep Learning Enabled Measurements of Single-Atom Defects in 2D Transition Metal Dichalcogenides with Sub-Picometer Precision
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Abstract

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Corresponding author

*Corresponding author: pyhuang@illinois.edu

References

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[1]Ziatdinov, M, et al. , ACS Nano 11 (2017), p. 12742.
[2]Savitzky, B, et al. , Ultramicroscopy 191 (2018), p. 56.
[3]This work was supported by the AFOSR under award number FA9550-7-1-0213 and carried out in part in the Materials Research Laboratory at UIUC. S.K. and W.Z. would like to acknowledge the support from ONR under grant NAVY N00014-17-1-2973.

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