Computational Microscopy of Spatial Dopant Distribution in Conjugated Polymer

Abstract Conjugated organic polymers are becoming increasingly important for numerous applications due to their tunable properties, which are often optimized through doping. This study employs molecular dynamics simulations to investigate the distribution of the molecular dopant Mo(tfd–COCF 3 ) 3 in the conjugated polymer p(g 4 2T–T), aiming to compare the theoretical findings with the experimental results of Persson et al., who used electron tomography to explore the dopant's 3D spatial distribution (Nanoscale, 2022, 14, 15404). Simulations reveal a random dopant distribution with no evidence of clustering, contrasting with Persson et al.’s observations of isolated molecules and small clusters. The discrepancy is suggested to be due to a possible difference in dopant density between the simulations and the experimental system, and potential explanations for this difference are proposed. The study highlights the need for further experimental and theoretical efforts to resolve these apparent discrepancies in dopant distributions.

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Publication Details

Journal
Advanced Electronic Materials
Published
2024-11-21
DOI
https://doi.org/10.1002/aelm.202400662
Citations
1
Primary Topic
Conducting polymers and applications
Type
article
Field-Weighted Citation Impact
0.17

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article

Computational Microscopy of Spatial Dopant Distribution in Conjugated Polymer

Igor Zozoulenko, Joshua Wheeler
1 citations
Advanced Electronic Materials
Conducting polymers and applications
0.17
article

Computational Microscopy of Spatial Dopant Distribution in Conjugated Polymer

Igor Zozoulenko, Joshua Wheeler
article en
1 citations

Abstract

Abstract Conjugated organic polymers are becoming increasingly important for numerous applications due to their tunable properties, which are often optimized through doping. This study employs molecular dynamics simulations to investigate the distribution of the molecular dopant Mo(tfd–COCF 3 ) 3 in the conjugated polymer p(g 4 2T–T), aiming to compare the theoretical findings with the experimental results of Persson et al., who used electron tomography to explore the dopant's 3D spatial distribution (Nanoscale, 2022, 14, 15404). Simulations reveal a random dopant distribution with no evidence of clustering, contrasting with Persson et al.’s observations of isolated molecules and small clusters. The discrepancy is suggested to be due to a possible difference in dopant density between the simulations and the experimental system, and potential explanations for this difference are proposed. The study highlights the need for further experimental and theoretical efforts to resolve these apparent discrepancies in dopant distributions.

Advanced Electronic MaterialsVol. 12(6)
Linköping University (SE)
Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet
Openalex Percentile: Top 56%
Conducting polymers and applications
0.17
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