Monte Carlo (MC) simulations of coarse-grained (CG) polyethylene-like models were developed to investigate the impact of chain topology and chain stiffness on conformational and surface properties of free-standing ring and linear polymer nanoparticles in vacuum. The “forcefield,” to represent the intramolecular and intermolecular interactions, was treated by the Rotational Isomeric State (RIS) model and the Lennard-Jones (LJ) potential energies, respectively. The original RIS statistical weights were multiplied by the chain stiffness parameter (k) to mimic the characteristics of stiffer (k > 1.0) and more flexible (k < 1.0) chains in comparison to polyethylene (k = 1.0). For more flexible chains, bulk densities of polymer nanoparticles generally increase, resulting in sharper surface profiles and more compacted structures. Compared to linear chains, the density of ring polymer nanoparticles tends to be slightly higher, with noticeably sharper surface profiles, especially for more flexible chains. In the bulk region, bonds and chains typically exhibit random orientation; nevertheless, near the surface, particularly for stiffer chains, they show anisotropic arrangement. A lower fraction of trans state is apparent in more flexible polymers, which leads to smaller molecular dimensions.Polymer chains generally have their largest molecular axes aligned parallel to the surface, and a higher degree of this anisotropy is observed for more rigid chains. According to their intramolecular and intermolecular energetics, nanoparticles adopt denser structures with a larger fraction of gauche state for more flexible chains in the bulk region. Near the surface, chains typically adopt more trans conformation, and the reduction in density leads to faster monomer dynamics, which can be seen for linear chains, while monomer dynamics in ring polymers move more slowly due to bond connectivity. The distance of increased dynamics in the surface region is longer than the scale of bond length for both ring and linear polymer nanoparticles.
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