Abstract :
[en] Depending on the sample preparation protocol, various structures for doped semi-crystalline polymers can be achieved, characterized by dopants either inserted in the alkyl side chains or packed with the conjugated backbone, which ultimately results in very different charge-transport and thermoelectric properties. This work targets such an intricate relationship between structure and properties with accurate hybrid quantum-classical calculations fully accounting for the effect of the environment. By considering representative structures for the crystalline domains of the F4TCNQ-doped PBTTT polymer, our calculations reveal that: (i) The electron affinity (EA) of the dopant is highly sensitive to the position occupied by the molecule in the polymer lamellae, with dopants inserted in the alkyl regions being much stronger electron acceptors than those stacked in the π-conjugated backbones (EA difference > 0.5 eV). (ii) The tiny orbital overlap between dopants in the alkyl regions and the polymer favors integer charge-transfer ground states, while dopants packed with conjugated chains are more inclined to fractional charge transfer. (iii) The Coulomb interaction between the charge carrier on the polymer and the ionized dopants is considerably (∼30%) smaller for dopants in the alkyl regions, pointing to less bound carriers. These findings rationalize the fact that record conductivities are generally associated with dopants inserted in the alkyl chains, raising awareness on the importance of controlling the dopant position in the polymer structure.
Funding text :
The authors thank Ivan Duchemin and Jing Li for providing codes implementing many-body Green's function techniques and tools for QM/MM calculations. M. C. acknowledges PhD scholarship from Grenoble Quantum Engineering (GreQuE) program, funded by Fondation Nanosciences and the European Unions Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 754303. The work in Grenoble has been supported by the French “Agence Nationale de la Recherche” through the project RAPTORS (ANR-21-CE24-0004-01). High-performance computing resources from GENCI-TGCC (Grant no. 2020-A0090910016) are acknowledged. The work in Mons has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 964677 (MITICS). The molecular modeling activities in Mons are supported by FNRS (Consortium des Équipements de Calcul Intensif - CÉCI, under Grant 2.5020.11) and by the Walloon Region (ZENOBE Tier-1 supercomputer, under grant 1117545). DB is a FNRS research director.
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