Persistent Homology To Quantify the Quality of Surface-Supported Covalent Networks

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Covalent networks formed by on-surface synthesis usually suffer from the presence of a large number of defects. We report on a methodology to characterize such two-dimensional networks from their experimental images obtained by scanning probe microscopy. The computation is based on a persistent homology approach and provides a quantitative score indicative of the network homogeneity. We compare our scoring method with results previously obtained using minimal spanning tree analyses and we apply it to some molecular systems appearing in the existing literature.

Original languageEnglish
JournalChemPhysChem
DOIs
Publication statusE-pub ahead of print - 1 Jan 2019

Fingerprint

Scanning probe microscopy
homology
Defects
scoring
homogeneity
methodology
microscopy
scanning
probes
defects
synthesis

Keywords

  • 2D networks
  • Network quality
  • on-surface synthesis
  • persistent homology
  • scanning probe microscopy

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Physical and Theoretical Chemistry

Cite this

Persistent Homology To Quantify the Quality of Surface-Supported Covalent Networks. / Gutierrez, Abraham; Buchet, Mickaël; Clair, Sylvain.

In: ChemPhysChem, 01.01.2019.

Research output: Contribution to journalArticleResearchpeer-review

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