Molecular
simulations have the potential to advance the understanding
of how the structure of organic materials can be engineered through
the choice of chemical components but are limited by computational
costs. The computational costs can be significantly lowered through
the use of modeling approximations that capture the relevant features
of a system, while lowering algorithmic complexity or by decreasing
the degrees of freedom that must be integrated. Such methods include
coarse-graining techniques, approximating long-range electrostatics
with short-range potentials, and the use of rigid bodies to replace
flexible bonded constraints between atoms. To understand whether and
to what degree these techniques can be leveraged to enhance the understanding
of planar organic molecules, we investigate the morphologies predicted
by molecular dynamic simulations using simplified molecular models
of perylene and perylothiophene. Approximately, 10 000 wall-clock
hours of graphics processing unit-accelerated simulations are performed
using both rigid and flexible models to test their efficiency and
predictive capability with the two chemistries. We characterize the
1191 resulting morphologies using simulated X-ray diffraction and
cluster analysis to distinguish structural transitions, summarized
by four phase diagrams. We find that the morphologies generated by
the rigid model of perylene and perylothiophene match with those generated
by the flexible model. We find that ordered, hexagonally packed columnar
phases are thermodynamically favored over a wide range of densities
and temperatures for both molecules, in qualitative agreement with
experiments. Furthermore, we find the rigid model to be more computationally
efficient for both molecules, providing more samples per second and
shorter times to equilibrium. Owing to the structural accuracy and
improved computational efficiency of modeling polyaromatic groups
as rigid bodies, we recommend this modeling choice for enhancing the
sampling in polyaromatic molecular simulations.