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Simplified Models for Accelerated Structural Prediction of Conjugated Semiconducting Polymers
Author(s) -
Michael M. Henry,
Matthew L. Jones,
Stefan D. Oosterhout,
Wade A. Braunecker,
Travis Kemper,
Ross E. Larsen,
Nikos Kopidakis,
Michael F. Toney,
Dana C. Olson,
Eric Jankowski
Publication year - 2017
Publication title -
the journal of physical chemistry c
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.401
H-Index - 289
eISSN - 1932-7455
pISSN - 1932-7447
DOI - 10.1021/acs.jpcc.7b09701
Subject(s) - stacking , lamellar structure , dihedral angle , materials science , molecular dynamics , polymer , conjugated system , annealing (glass) , simulated annealing , scattering , chemical physics , computational chemistry , molecule , hydrogen bond , chemistry , computer science , composite material , optics , physics , algorithm , organic chemistry
We perform molecular dynamics simulations of poly(benzodithiophene-thienopyrrolodione) (BDT-TPD) oligomers in order to evaluate the accuracy with which unoptimized molecular models can predict experimentally characterized morphologies. The predicted morphologies are characterized using simulated grazing-incidence X-ray scattering (GIXS) and compared to the experimental scattering patterns. We find that approximating the aromatic rings in BDT-TPD with rigid bodies, rather than combinations of bond, angle, and dihedral constraints, results in 14% lower computational cost and provides nearly equivalent structural predictions compared to the flexible model case. The predicted glass transition temperature of BDT-TPD (410 ± 32 K) is found to be in agreement with experiments. Predicted morphologies demonstrate short-range structural order due to stacking of the chain backbones (π–π stacking around 3.9 A), and long-range spatial correlations due to the self-organization of backbone stacks into “ribbons” (lamellar...

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