Optimization and Validation of Efficient Models for Predicting Polythiophene Self-Assembly

Evan D. Miller, Matthew L. Jones, Michael M. Henry, Paul Chery, Kyle Miller, Eric Jankowski

Research output: Contribution to journalArticlepeer-review

13 Scopus citations
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Abstract

We develop an optimized force-field for poly(3-hexylthiophene) (P3HT) and demonstrate its utility for predicting thermodynamic self-assembly. In particular, we consider short oligomer chains, model electrostatics and solvent implicitly, and coarsely model solvent evaporation. We quantify the performance of our model to determine what the optimal system sizes are for exploring self-assembly at combinations of state variables. We perform molecular dynamics simulations to predict the self-assembly of P3HT at ~350 combinations of temperature and solvent quality. Our structural calculations predict that the highest degrees of order are obtained with good solvents just below the melting temperature. We find our model produces the most accurate structural predictions to date, as measured by agreement with grazing incident X-ray scattering experiments.

Original languageAmerican English
Article number1305
JournalPolymers
Volume10
Issue number12
Early online date26 Nov 2018
DOIs
StatePublished - Dec 2018

Keywords

  • Coarse-graining
  • Molecular dynamics
  • Organic photovoltaics

EGS Disciplines

  • Materials Science and Engineering

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