2019
DOI: 10.1039/c9me00014c
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Unveiling the emergence of functional materials with STM: metal phthalocyanine on surface architectures

Abstract: (a) Self-assembly (SA) of CuPc on the step edges of the Bi2Se3 surface, b) CuPc 1D chains in the SA, and c) HOMO–LUMO gap variation of CuPc.

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Cited by 14 publications
(20 citation statements)
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“…This also implies the occurrence of ≈5 charge-transfer events to complete the overall hopping transport across t nCap ≈ 6 nm. Such findings are also in agreement with other CuPc single-molecule investigations performed by probe-tip measurements, [59,60] and also corroborates the expected hole density in the CuPc HOMO, ≈10 21 cm −3 . [61] From the linear fit intercept in Figure 4b, we find λ = (0.93 ± 0.04) eV.…”
Section: Resultssupporting
confidence: 92%
“…This also implies the occurrence of ≈5 charge-transfer events to complete the overall hopping transport across t nCap ≈ 6 nm. Such findings are also in agreement with other CuPc single-molecule investigations performed by probe-tip measurements, [59,60] and also corroborates the expected hole density in the CuPc HOMO, ≈10 21 cm −3 . [61] From the linear fit intercept in Figure 4b, we find λ = (0.93 ± 0.04) eV.…”
Section: Resultssupporting
confidence: 92%
“…Moreover, they are ideal candidates to study the influence of the interaction between the central metal atom and the surrounding ligands on the overall properties. Commonly, metal phthalocyanines and their derivatives have been investigated on crystalline metal surfaces [43][44][45][46][47][48][49][50][51][52][53][54][55][56][57]. However, the need to electronically decouple organic moieties from the underlying substrates directed the attention towards insulators and/or semiconductors.…”
Section: Introductionmentioning
confidence: 99%
“… 54 . Later, these computational STM trained models can be integrated with experiments for active learning processes 50 , 57 .…”
Section: Background and Summarymentioning
confidence: 99%