From Linear to Nets: Multiconfiguration Polymer Structure Generation with PolyFlin

Molecular
modeling and simulations are essential tools
in polymer
science and engineering, enabling researchers to predict and understand
the properties of macromolecules, including their structure, dynamics,
thermodynamics, and overall material characteristics. However, one
of the key challenges in polymer simulation and modeling lies in the
initial topology design, as existing programs often lack the capability
to generate all types of polymer forms. In this study, we present
PolyFlin, a powerful Python module that addresses this limitation
by allowing the generation of a wide range of polymer structures,
from simple homopolymers to complex copolymers, including grafts,
cyclic, star, dendrimers, and nets. PolyFlin offers a versatile and
efficient tool for exploring and creating diverse polymer architectures,
facilitating advancements in various fields that require precise polymer
modeling and simulation.