粒子模拟与场论模拟的定量等效性和性能比较

IF 5.1 1区 化学 Q1 POLYMER SCIENCE Macromolecules Pub Date : 2024-11-12 DOI:10.1021/acs.macromol.4c02034
Joshua Lequieu
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引用次数: 0

摘要

粒子模拟和场论模拟都是研究聚合物材料平衡特性的常用方法。然而,尽管这两种方法在形式上等同,但文献中并没有对粒子模拟和场论模拟进行全面的比较。在这项工作中,我们试图通过对粒子模拟和场论模拟进行系统的定量比较来填补这一空白。在比较中,我们考虑了四个具有代表性的聚合物系统:均聚物熔体/溶液、二嵌段共聚物熔体、聚酰胺溶液和聚电解质凝胶。对于其中的每一种体系,我们首先证明粒子模拟和场论模拟是等效的,并且在压力和化学势方面得到的结果完全相同。接下来,我们量化了每种方法在一系列不同条件下的性能,包括链长、系统密度、相互作用强度、系统尺寸和聚合物体积分数的变化。这些计算的结果全面考察了每种方法的性能,以及粒子模拟或场理论模拟更受青睐的系统和条件。我们发现,在几乎所有考察过的系统和条件下,场理论模拟都等同于或快于粒子模拟。在许多情况下,场理论模拟比粒子模拟快几个数量级,尤其是在聚合物链长、系统密度高以及存在长程库仑相互作用的情况下。我们还证明,场理论模拟在计算化学势方面要快得多,而且可以绕过与基于粒子的 Widom 插入技术相关的挑战。总之,我们的研究结果提供了定量证据,证明场理论模拟能比粒子模拟更快地达到平衡并对平衡进行采样,同时产生等效的结果。
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Quantitative Equivalence and Performance Comparison of Particle and Field-Theoretic Simulations
Particle and field-theoretic simulations are both commonly used methods to study the equilibrium properties of polymeric materials. Yet despite the formal equivalence of the two methods, no comprehensive comparisons of particle and field-theoretic simulations exist in the literature. In this work, we seek to fill this gap by performing a systematic and quantitative comparison of particle and field-theoretic simulations. In our comparison, we consider four representative polymeric systems: a homopolymer melt/solution, a diblock copolymer melt, a polyampholyte solution, and a polyelectrolyte gel. For each of these systems, we first demonstrate that particle and field-theoretic simulations are equivalent and yield exactly the same results for the pressure and the chemical potential. We next quantify the performance of each method across a range of different conditions including variations in chain length, system density, interaction strength, system size, and polymer volume fraction. The outcome of these calculations is a comprehensive look into the performance of each method and the systems and conditions when either particle or field-theoretic simulations are preferred. We find that field-theoretic simulations are equal to or faster than particle simulations for nearly all of the systems and conditions examined. In many situations, field-theoretic simulations are several orders of magnitude faster than particle simulations, especially if the polymer chains are long, the system density is high, and long-range Coulombic interactions are present. We also demonstrate that field-theoretic simulations are considerably faster at calculating the chemical potential and bypass the challenges associated with particle-based Widom insertion techniques. Taken together, our results provide quantitative evidence that field-theoretic simulations can reach and sample equilibrium considerably faster than particle simulations while simultaneously producing equivalent results.
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来源期刊
Macromolecules
Macromolecules 工程技术-高分子科学
CiteScore
9.30
自引率
16.40%
发文量
942
审稿时长
2 months
期刊介绍: Macromolecules publishes original, fundamental, and impactful research on all aspects of polymer science. Topics of interest include synthesis (e.g., controlled polymerizations, polymerization catalysis, post polymerization modification, new monomer structures and polymer architectures, and polymerization mechanisms/kinetics analysis); phase behavior, thermodynamics, dynamic, and ordering/disordering phenomena (e.g., self-assembly, gelation, crystallization, solution/melt/solid-state characteristics); structure and properties (e.g., mechanical and rheological properties, surface/interfacial characteristics, electronic and transport properties); new state of the art characterization (e.g., spectroscopy, scattering, microscopy, rheology), simulation (e.g., Monte Carlo, molecular dynamics, multi-scale/coarse-grained modeling), and theoretical methods. Renewable/sustainable polymers, polymer networks, responsive polymers, electro-, magneto- and opto-active macromolecules, inorganic polymers, charge-transporting polymers (ion-containing, semiconducting, and conducting), nanostructured polymers, and polymer composites are also of interest. Typical papers published in Macromolecules showcase important and innovative concepts, experimental methods/observations, and theoretical/computational approaches that demonstrate a fundamental advance in the understanding of polymers.
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