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

Guang Yang (), Xin Li (), Yongqiang Cheng, Mingchao Wang, Dong Ma, Alexei P. Sokolov, Sergei V. Kalinin, Gabriel M. Veith and Jagjit Nanda ()
Additional contact information
Guang Yang: Oak Ridge National Laboratory
Xin Li: Oak Ridge National Laboratory
Yongqiang Cheng: Oak Ridge National Laboratory
Mingchao Wang: Monash University
Dong Ma: Oak Ridge National Laboratory
Alexei P. Sokolov: Oak Ridge National Laboratory
Sergei V. Kalinin: Oak Ridge National Laboratory
Gabriel M. Veith: Oak Ridge National Laboratory
Jagjit Nanda: Oak Ridge National Laboratory

Nature Communications, 2021, vol. 12, issue 1, 1-11

Abstract: 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

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-020-20691-2 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-020-20691-2

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-020-20691-2

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().