RUI: Chain Conformation and Collapse in Polymer Systems: Mapping a Many-Body onto a Few-Body Problem

RUI：聚合物系统中的链构象和崩溃：将多体问题映射到少体问题

• 批准号: 0804370
• 负责人: Mark Taylor
• 金额: $ 10.8万
• 依托单位: Hiram College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-10-01 至 2012-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0804370&HistoricalAwards=false
• 关键词: RUI; Chain; Conformation; Collapse; Polymer

TECHNICAL SUMMARY:This award supports research and education in theoretical polymer physics. The research focus addresses the problem of explicit solvent effects on polymer chain conformation. Because the complex structure of a polymer, whether synthetic or biological, depends on the fluid in which it exists, it is necessary to either include the details (e.g atoms in a host liquid) or employ an effective medium approximation adequate to predict polymer chain conformation. The research carried out in this effort replaces the complex environment by suitably accurate (and more complicated) effective interaction. The approach feeds into the general field of multiscale modeling, especially in polymeric systems. The domain of validity of the approach and the accuracy of its extensions are primary interests of the research.The center piece research effort develops a detailed theoretical understanding of the coupling between polymer conformation and solvent properties. A simple, yet realistic continuum based interaction-site model is used in which both polymer and solvent are built from "simple-liquid" monomers. The approach maps the many-body chain-in-solvent problem onto a few-body single-chain problem via the introduction of a set of site-site solvation potentials. This approach fully incorporates the local solvent structure into the solvation potentials.The research evolves from recent work by the PI that (i) establishes the validity of a pair-wise decomposition of the exact many-body solvation potential for a short chain in a simple-liquid solvent and (ii) successfully applies short chain solvation potential results to long-chain systems. These initial results indicated the potential application to a broad range of systems. The research of this award focuses on the extends the approach to a larger class of interaction potentials and thus more realistic systems, including asymmetric systems in which the polymer and solvent are built from different interaction sites and to systems with molecular (and polymeric) solvents. The effects of solvent on chain conformation and collapse, as well as multi-body correlations, are studied in each of these systems.The activities undertaken have broad impact beyond the specific research problems. This research represents an important step towards the goal of developing a complete theory of polymeric liquids based on the rigorous techniques of liquid state physics. The approach provides a straightforward way to account for solvent effects in polymer systems without having to perform computationally expensive full-solvent simulations. The results of this research are disseminated both through publication in scientific journals and through presentation at local, regional, and national meetings. The research program has been designed to allow for maximum student participation by dovetailing into the physics curriculum at the PI's college. Computation and simulation methods taught in the core physics courses establish a direct link between classroom learning and this research program and provide students with the tools needed to make meaningful contributions to this work. The undergraduate students who participate in this research benefit by learning state of the art computer simulation techniques and have opportunities to present at scientific meetings. This research continues a track record of mentoring undergraduates as researchers and successfully fostering their advancement to graduate study in science and engineering. NONTECHNICAL SUMMARY:This award supports research and education in theoretical polymer physics. The research focus addresses the problem of predicting the shape of long polymers when dissolved in different solvents. Because the complex structure of a polymer, whether synthetic or biological, depends on the fluid in which it exists, it is necessary to either include the details (e.g thousands of atoms in a host liquid) or employ an approximation to accurately predict polymer chain conformation. The research carried out in this effort replaces the complex environment of the host liquid by suitably accurate (and more complicated) set of rules for how the atoms of polymer interact with each other. The domain of validity of the approach and the accuracy of its extensions are primary interests of the research.The center piece research effort develops a detailed theoretical understanding of the coupling between polymer shape and solvent properties. A simple, yet realistic model is used in which both polymer and solvent are built from "simple-liquid" pseudo-atoms. The approach maps the complex polymer-in-solvent problem onto a simpler polymer-only problem.The activities undertaken have broad impact beyond the specific research problems. This topic is of broad importance since the overall properties of dissolved polymers, including polymer solubility, solution viscosity, and functionality, are intimately linked to the underlying microscopic configuration of the individual polymer molecules. The results of this research are disseminated both through publication in scientific journals and through presentation at local, regional, and national meetings. The research program has been designed to allow for maximum student participation by dovetailing into the physics curriculum at the PI's college. Computation and simulation methods taught in the core physics courses establish a direct link between classroom learning and this research program and provide students with the tools needed to make meaningful contributions to this work. The undergraduate students who participate in this research benefit by learning state-of-the-art computer simulation techniques and have opportunities to present papers at scientific meetings. This research continues a track record of mentoring undergraduates as researchers and successfully fostering their advancement to graduate study in science and engineering.

该奖项支持理论聚合物物理学的研究和教育。研究的重点是明确溶剂对高分子链构象的影响。由于聚合物的复杂结构，无论是合成的还是生物的，都取决于它所存在的流体，因此有必要包括细节（例如主体液体中的原子）或采用足以预测聚合物链构象的有效介质近似。这项研究的目的是 通过适当准确（和更复杂）的有效交互来取代复杂的环境。 该方法进入多尺度建模的一般领域，特别是在聚合物系统中。域的有效性的方法和其扩展的准确性的主要兴趣的research.The中心件的研究工作开发了一个详细的理论理解的聚合物构象和溶剂性质之间的耦合。一个简单的，但现实的连续的相互作用网站模型中使用的聚合物和溶剂是建立从“简单的液体”单体。该方法通过引入一组位-位溶剂化势，将多体链在溶剂中的问题转化为少体单链问题。这种方法充分结合了当地的溶剂结构到solvation potentials.该研究从PI最近的工作，（i）建立了一个简单的液体溶剂中的短链的精确多体溶剂化势的成对分解的有效性和（ii）成功地应用短链溶剂化势的结果长链系统。这些初步结果表明，潜在的应用范围广泛的系统。该奖项的研究重点是将方法扩展到更大类的相互作用势，从而更现实的系统，包括不对称系统，其中聚合物和溶剂是从不同的相互作用位点构建的，以及具有分子（和聚合物）溶剂的系统。溶剂对链构象和塌缩的影响以及多体关联在每个体系中都有研究，所进行的活动具有超出具体研究问题的广泛影响。这项研究是一个重要的一步，发展一个完整的理论的基础上严格的液态物理的聚合物液体的目标。该方法提供了一种简单的方法来考虑聚合物体系中的溶剂效应，而不必执行计算昂贵的全溶剂模拟。这项研究的结果通过在科学期刊上发表和在地方、区域和国家会议上发表来传播。该研究计划的目的是让学生最大限度地参与到PI学院的物理课程中。核心物理课程中教授的计算和模拟方法建立了课堂学习和本研究计划之间的直接联系，并为学生提供了为这项工作做出有意义贡献所需的工具。参与这项研究的本科生受益于学习最先进的计算机模拟技术，并有机会出席科学会议。这项研究延续了指导本科生作为研究人员的记录，并成功地促进了他们在科学和工程研究生学习的进步。非技术性总结：该奖项支持理论聚合物物理学的研究和教育。研究的重点是预测长链聚合物在不同溶剂中溶解时的形状。由于聚合物的复杂结构，无论是合成的还是生物的，都取决于它所存在的流体，因此有必要包括细节（例如主体液体中的数千个原子）或采用近似来准确预测聚合物链构象。在这项工作中进行的研究通过适当准确（和更复杂）的聚合物原子如何相互作用的规则来取代宿主液体的复杂环境。 域的有效性的方法和它的扩展的准确性是主要的兴趣的research.The中心件的研究工作开发了一个详细的理论理解的聚合物形状和溶剂性质之间的耦合。一个简单的，但现实的模型中使用的聚合物和溶剂是建立从“简单液体”的伪原子。该方法将复杂的聚合物在溶剂中的问题映射到一个简单的聚合物问题上，所进行的活动具有超出具体研究问题的广泛影响。这一主题具有广泛的重要性，因为溶解的聚合物的整体性质，包括聚合物溶解度、溶液粘度和官能度，与单个聚合物分子的潜在微观构型密切相关。这项研究的结果通过在科学期刊上发表和在地方、区域和国家会议上发表来传播。该研究计划的目的是让学生最大限度地参与到PI学院的物理课程中。核心物理课程中教授的计算和模拟方法建立了课堂学习和本研究计划之间的直接联系，并为学生提供了为这项工作做出有意义贡献所需的工具。参与这项研究的本科生受益于学习最先进的计算机模拟技术，并有机会在科学会议上发表论文。这项研究延续了指导本科生作为研究人员的记录，并成功地促进了他们在科学和工程研究生学习的进步。