1. Large scale mobility calculations in PEDOT (Poly(3,4-ethylenedioxythiophene)): Backmapping the coarse-grained MARTINI morphology
- Author
-
Juan Felipe Franco-Gonzalez, Nicolas Rolland, Igor Zozoulenko, M. Modarresi, Swedish Research Council, Linköping University, Modarresi, Mohsen [0000-0002-0008-8175], Franco-Gonzalez, Juan Felipe [0000-0002-5095-5257], Zozoulenko, Igor [0000-0002-6078-3006], Modarresi, Mohsen, Franco-Gonzalez, Juan Felipe, and Zozoulenko, Igor
- Subjects
Materials science ,Nanostructure ,General Computer Science ,Stacking ,General Physics and Astronomy ,TOS ,Coarse-grained ,Bacicmapping ,Multiscale calculation ,Mobility [PEDOT] ,02 engineering and technology ,010402 general chemistry ,01 natural sciences ,PEDOT:TOS ,chemistry.chemical_compound ,Molecular dynamics ,PEDOT:PSS ,TOS [PEDOT] ,Teoretisk kemi ,Molecule ,General Materials Science ,Theoretical Chemistry ,Conductive polymer ,Mobility ,Doping ,General Chemistry ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,Computational Mathematics ,chemistry ,Mechanics of Materials ,Chemical physics ,0210 nano-technology ,Poly(3,4-ethylenedioxythiophene) ,Backmapping - Abstract
8 p.-4 fig., Designing new high performances materials based on conducting polymers necessitates the development of multiscale models to investigate the charge transport in large realistic systems. In this work, we utilize Coarse-Grained (CG) Molecular Dynamics (MD) simulations to generate morphologies of Poly(3,4-ethylenedioxythiophene) (PEDOT) doped with Tosylate (TOS) ions, and we develop a backmapping protocol to retrieve the atomistic details of the molecules afterwards. We demonstrate that the proposed protocol corrects for the nanostructure distortions induced by Coarse-Graining the system, namely a wrong density and an over-estimated stacking distance. Quantum chemical calculations are performed on the systems obtained after backmapping in order to calculate hopping rates for charge transport, and charge mobilities as a function of the PEDOT chain length and hydration level are then calculated by solving a master equation for transport. The results are identical to the calculations performed on PEDOT morphologies obtained by direct All-Atomistic (AA) MD simulations: the mobility increases with the chain length and decreases with the hydration level, this last effect being more pronounced for short chains. This definitely shows that the workflow CG MD backmapping mobility calculations is in position to calculate charge mobility in PEDOT based materials, paving the way for theoretical investigations of transport in more complex materials such as PEDOT doped with Polystyrene Sulfonate (PSS)., This research was funded by KAW foundation grant Tail of the Sun,and the Swedish Research Council Grant No. 2016-05990 and 2017-04474, and the Advanced Functional Material center at Linköping University.
- Published
- 2020