2019
DOI: 10.1039/c8cp07141a
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Computational microscopy study of the granular structure and pH dependence of PEDOT:PSS

Abstract: A coarse grained molecular dynamics simulation for the morphology of PEDOT:PSS at different pH.

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Cited by 45 publications
(71 citation statements)
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“…For the choice of a counterion we follow previous computational studies of thiophene-based polymers 57 and use Cl À 3 , which is motivated by the computational efficiency as compared to the case of larger counterions such as tosylate. It is important to stress that results and conclusions presented in this paper are not related to a particular choice of counterions: our previous studies of the effect of different counterions shows that neither chemical bonds form nor electron transfer takes place for the case of other counterions such as tosylate, ClO 4 56,58 The results of the molecular dynamics simulations [52][53][54][55][56] are used as a guidance to distribute counterions around polymer chains and crystallites. In particular, the counterions are positioned randomly on the average distance of 4 A from the polymer chains as suggested by the distribution functions obtained from the MD simulations (see e.g.…”
Section: Modelmentioning
confidence: 88%
See 1 more Smart Citation
“…For the choice of a counterion we follow previous computational studies of thiophene-based polymers 57 and use Cl À 3 , which is motivated by the computational efficiency as compared to the case of larger counterions such as tosylate. It is important to stress that results and conclusions presented in this paper are not related to a particular choice of counterions: our previous studies of the effect of different counterions shows that neither chemical bonds form nor electron transfer takes place for the case of other counterions such as tosylate, ClO 4 56,58 The results of the molecular dynamics simulations [52][53][54][55][56] are used as a guidance to distribute counterions around polymer chains and crystallites. In particular, the counterions are positioned randomly on the average distance of 4 A from the polymer chains as suggested by the distribution functions obtained from the MD simulations (see e.g.…”
Section: Modelmentioning
confidence: 88%
“…[48][49][50][51] These ndings are also conrmed by molecular dynamics simulations. [52][53][54][55][56] We calculate the total energy of the system, E(N), using the DFT approach. Because of the computation limitations of the DFT approach we apparently cannot consider a system of size even comparable to a dimension of the polymeric thin lm (10-100 nm).…”
Section: Modelmentioning
confidence: 99%
“…The morphology of PEDOT:PSS was comprehensibly discussed and theoretically investigated by Modarresi et al. [ 7 ] and is known to depend strongly on processing conditions. [ 8 ] The dissimilar nature of the two components, doped PEDOT and the polyelectrolyte PSS, causes a co‐continuous morphology (cf.…”
Section: Introductionmentioning
confidence: 99%
“…At present, only one CG-MD model of OMIECs has been published specific to the mixed conducting polymer PEDOT. [27][28][29][30][31] Thus, we have also developed a generic CG-MD force-field for OMIECs that can be used to systematically interrogate the various designable OMIEC components and their effect on morphology and transport processes. As an initial benchmark demonstration of this framework, we have investigated effects of oxidation and hydration levels on the morphology and transport processes of a generic p-type conjugated homopolymer with glycolated sidechains in the presence of an aqueous electrolyte.…”
Section: Introductionmentioning
confidence: 99%