Virtual substrate method for nanomaterials characterization

Bo Da, Jiangwei Liu, Mahito Yamamoto, Yoshihiro Ueda, Kazuyuki Watanabe, Nguyen Thanh Cuong, Songlin Li, Kazuhito Tsukagoshi, Hideki Yoshikawa, Hideo Iwai, Shigeo Tanuma, Hongxuan Guo, Zhaoshun Gao, Xia Sun, Zejun Ding

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Characterization techniques available for bulk or thin-film solid-state materials have been extended to substrate-supported nanomaterials, but generally non-quantitatively. This is because the nanomaterial signals are inevitably buried in the signals from the underlying substrate in common reflection-configuration techniques. Here, we propose a virtual substrate method, inspired by the four-point probe technique for resistance measurement as well as the chop-nod method in infrared astronomy, to characterize nanomaterials without the influence of underlying substrate signals from four interrelated measurements. By implementing this method in secondary electron (SE) microscopy, a SE spectrum (white electrons) associated with the reflectivity difference between two different substrates can be tracked and controlled. The SE spectrum is used to quantitatively investigate the covering nanomaterial based on subtle changes in the transmission of the nanomaterial with high efficiency rivalling that of conventional core-level electrons. The virtual substrate method represents a benchmark for surface analysis to provide free-standing' information about supported nanomaterials.

Original languageEnglish
Article number15629
JournalNature communications
Volume8
DOIs
Publication statusPublished - 2017 May 26
Externally publishedYes

ASJC Scopus subject areas

  • Chemistry(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Physics and Astronomy(all)

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    Da, B., Liu, J., Yamamoto, M., Ueda, Y., Watanabe, K., Thanh Cuong, N., Li, S., Tsukagoshi, K., Yoshikawa, H., Iwai, H., Tanuma, S., Guo, H., Gao, Z., Sun, X., & Ding, Z. (2017). Virtual substrate method for nanomaterials characterization. Nature communications, 8, [15629]. https://doi.org/10.1038/ncomms15629