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聚合物溶液的椭球链模型。

An ellipsoid-chain model for conjugated polymer solutions.

机构信息

Research Center for Applied Sciences, Academia Sinica, Taipei 115, Taiwan.

出版信息

J Chem Phys. 2012 Feb 28;136(8):084901. doi: 10.1063/1.3687241.

Abstract

We propose an ellipsoid-chain model which may be routinely parameterized to capture large-scale properties of semiflexible, amphiphilic conjugated polymers in various solvent media. The model naturally utilizes the defect locations as pivotal centers connecting adjacent ellipsoids (each currently representing ten monomer units), and a variant umbrella-sampling scheme is employed to construct the potentials of mean force (PMF) for specific solvent media using atomistic dynamics data and simplex optimization. The performances, both efficacy and efficiency, of the model are thoroughly evaluated by comparing the simulation results on long, single-chain (i.e., 300-mer) structures with those from two existing, finer-grained models for a standard conjugated polymer (i.e., poly(2-methoxy-5-(2'-ethylhexyloxy)-1,4-phenylenevinylene) or MEH-PPV) in two distinct solvents (i.e., chloroform or toluene) as well as a hybrid, binary-solvent medium (i.e., chloroform/toluene = 1:1 in number density). The coarse-grained Monte Carlo (CGMC) simulation of the ellipsoid-chain model is shown to be the most efficient--about 300 times faster than the coarse-grained molecular dynamics (CGMD) simulation of the finest CG model that employs explicit solvents--in capturing elementary single-chain structures for both single-solvent media, and is a few times faster than the coarse-grained Langevin dynamics (CGLD) simulation of another implicit-solvent polymer model with a slightly greater coarse-graining level than in the CGMD simulation. For the binary-solvent system considered, however, both of the two implicit-solvent schemes (i.e., CGMC and CGLD) fail to capture the effects of conspicuous concentration fluctuations near the polymer-solvent interface, arising from a pronounced coupling between the solvent molecules and different parts of the polymer. Essential physical implications are elaborated on the success as well as the failure of the two implicit-solvent CG schemes under varying solvent conditions. Within the ellipsoid-chain model, the impact of synthesized defects on local segmental ordering as well as bulk chain conformation is also scrutinized, and essential consequences in practical applications discussed. In future perspectives, we remark on strategy that takes advantage of the coordination among various CG models and simulation schemes to warrant computational efficiency and accuracy, with the anticipated capability of simulating larger-scale, many-chain aggregate systems.

摘要

我们提出了一种椭圆链模型,该模型可以常规地参数化,以捕获各种溶剂介质中半刚性、两亲性共轭聚合物的大尺度性质。该模型自然利用缺陷位置作为连接相邻椭圆体(每个椭圆体目前代表十个单体单元)的关键中心,并且采用变体伞状采样方案,利用原子动力学数据和单纯形优化为特定溶剂介质构建平均力势(PMF)。通过比较长链(即 300 -mer)结构的模拟结果与两种现有、更细粒度的模型在两种不同溶剂(即氯仿或甲苯)和混合、二元溶剂介质(即氯仿/甲苯=1:1 的数量密度)中标准共轭聚合物(即聚(2-甲氧基-5-(2'-乙基己氧基)-1,4-亚苯基乙烯基)或 MEH-PPV)中的模拟结果,彻底评估了模型的性能,包括功效和效率。结果表明,椭圆链模型的粗粒化蒙特卡罗(CGMC)模拟是最有效的——比使用显式溶剂的最细 CG 模型的粗粒化分子动力学(CGMD)模拟快约 300 倍——用于捕获单溶剂介质的基本单链结构,并且比另一种具有稍大粗粒化程度的隐式溶剂聚合物模型的粗粒化朗之万动力学(CGLD)模拟快几倍(在 CGMD 模拟中)。然而,对于所考虑的二元溶剂体系,两种隐式溶剂方案(即 CGMC 和 CGLD)都无法捕获聚合物-溶剂界面附近明显浓度波动的影响,这是由于溶剂分子和聚合物不同部分之间的明显耦合所致。详细阐述了在不同溶剂条件下两种隐式溶剂 CG 方案成功和失败的基本物理含义。在椭圆链模型中,还研究了合成缺陷对局部链段有序性和整体链构象的影响,并讨论了在实际应用中的重要后果。在未来的展望中,我们将讨论利用各种 CG 模型和模拟方案之间的协调来保证计算效率和准确性的策略,预计该策略将具有模拟更大规模、多链聚合系统的能力。

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