Yan Biao, Martínez-Fernández Daniel, Foteinopoulou Katerina, Karayiannis Nikos Ch
Institute for Optoelectronic Systems and Microtechnology (ISOM) and Escuela Técnica Superior de Ingenieros Industriales (ETSII), Universidad Politécnica de Madrid (UPM), José Gutierrez Abascal 2, 28006 Madrid, Spain.
Polymers (Basel). 2025 Jun 19;17(12):1703. doi: 10.3390/polym17121703.
We conduct extensive Monte Carlo simulations to investigate the factors that control the isotropic-to-nematic transition of hard colloidal polymers in bulk and under various conditions of confinement. Utilizing a highly idealized model, polymers are represented as linear chains of tangent hard spheres of uniform length, whose stiffness is controlled by a bending potential leading to rod-like configurations. Confinement is realized through the presence of flat, parallel, and impenetrable walls in one, two, or three dimensions while periodic boundary conditions are applied on the unconstrained dimensions. All simulations are performed through the Simu-D software, composed of conventional and advanced, chain-connectivity-altering Monte Carlo algorithms. We explore in detail how distinct factors, including chain length, stiffness, confinement, and packing density affect the isotropic-to-nematic transition exhibited by the polymer chains and identify with high precision the concentration range where this phase change takes place as a function of the applied conditions.
我们进行了广泛的蒙特卡罗模拟,以研究在本体以及各种受限条件下控制硬胶体聚合物从各向同性向向列相转变的因素。利用一个高度理想化的模型,聚合物被表示为长度均匀的相切硬球的线性链,其刚性由导致棒状构型的弯曲势控制。通过在一维、二维或三维中存在平坦、平行且不可穿透的壁来实现受限,而在无约束维度上应用周期性边界条件。所有模拟均通过Simu-D软件进行,该软件由传统和先进的、改变链连接性的蒙特卡罗算法组成。我们详细探讨了包括链长、刚性、受限和堆积密度在内的不同因素如何影响聚合物链所呈现的各向同性向向列相转变,并高精度地确定了作为应用条件函数的发生这种相变的浓度范围。