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Distilling nanoscale heterogeneity of amorphous silicon using tip-enhanced Raman spectroscopy (TERS) via multiresolution manifold learning

Author

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  • Guang Yang

    (Oak Ridge National Laboratory)

  • Xin Li

    (Oak Ridge National Laboratory
    Sinopec Shanghai Research Institute of Petrochemical Technology)

  • Yongqiang Cheng

    (Oak Ridge National Laboratory)

  • Mingchao Wang

    (Monash University)

  • Dong Ma

    (Oak Ridge National Laboratory)

  • Alexei P. Sokolov

    (Oak Ridge National Laboratory
    University of Tennessee)

  • Sergei V. Kalinin

    (Oak Ridge National Laboratory)

  • Gabriel M. Veith

    (Oak Ridge National Laboratory)

  • Jagjit Nanda

    (Oak Ridge National Laboratory)

Abstract

Accurately identifying the local structural heterogeneity of complex, disordered amorphous materials such as amorphous silicon is crucial for accelerating technology development. However, short-range atomic ordering quantification and nanoscale spatial resolution over a large area on a-Si have remained major challenges and practically unexplored. We resolve phonon vibrational modes of a-Si at a lateral resolution of

Suggested Citation

  • Guang Yang & Xin Li & Yongqiang Cheng & Mingchao Wang & Dong Ma & Alexei P. Sokolov & Sergei V. Kalinin & Gabriel M. Veith & Jagjit Nanda, 2021. "Distilling nanoscale heterogeneity of amorphous silicon using tip-enhanced Raman spectroscopy (TERS) via multiresolution manifold learning," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-020-20691-2
    DOI: 10.1038/s41467-020-20691-2
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