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Persistent homology to quantify the quality of surface- supported covalent networks

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.
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https://hal-amu.archives-ouvertes.fr/hal-02292844
Contributor : Sylvain Clair <>
Submitted on : Friday, September 20, 2019 - 11:46:57 AM
Last modification on : Saturday, September 21, 2019 - 1:22:53 AM
Long-term archiving on: : Sunday, February 9, 2020 - 3:58:34 AM

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Abraham Gutierrez, Mickael Buchet, Sylvain Clair. Persistent homology to quantify the quality of surface- supported covalent networks. ChemPhysChem, Wiley-VCH Verlag, 2019, 20 (18), pp.2286-2291. ⟨10.1002/cphc.201900257⟩. ⟨hal-02292844⟩

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