Dynamics of Associative Polymers Revealed by Self-Diffusion

自扩散揭示缔合聚合物的动力学

• 批准号: 1709315
• 负责人: Bradley Olsen
• 金额: $ 36万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2023-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1709315&HistoricalAwards=false
• 关键词: Dynamics; Associative; Polymers; Revealed; Self

NON-TECHNICAL SUMMARY: Associative polymers are giant molecules that contain "sticky" functional groups, binding them together with reversible physical bonds. Some of the most widely used polymers are associative polymers, including those used to make golf balls, the absorbing gels in diapers, flow modifiers for shampoos or conditioners, and new materials being developed for biomedical uses and enhanced oil recovery. The use of these existing materials and the development of new systems relies on understanding how the molecules move: how they are processed into the shape of a final object and how they deform under mechanical force. Ultimately, these properties are governed by the way that the molecules move on microscopic scales. Recently researchers have discovered that molecular motion in associative polymers shows unexpected relationships between how fast a molecule moves and the distance that it moves, prompting a reconsideration of some of the scientific understanding behind the design of the polymer properties. This project will use specialized X-ray and laser light techniques to study associative polymer motion at the micro and nanoscale, allowing us to further understand the mechanisms by which they move. Theory and simulation of these systems will be applied to relate molecular properties to the chemical design of new polymers, providing fundamental insight that allows faster discovery of improved polymeric materials. A diverse group of graduate and undergraduate researchers will apprentice through this project, developing scientific expertise that will contribute to the U.S. economy. The discoveries in this project will be shared with the public through YouTube and scientific publications and presentations and will also be developed in collaboration with high-school teachers into new materials to inspire the creativity and inventiveness of young students.TECHNICAL SUMMARY: The study of associative polymers has led to a solid theoretical understanding based on transient network theory for telechelic polymers, which models the dynamics of the networks based upon kinetic equations that model bond association and dissociation during deformation. These concepts have also led to the development of sticky Rouse and sticky reptation theories, grounded in the same conceptual framework but applicable to polymers with associating groups spaced along the backbone. Rheological measurements on a huge variety of associative polymer systems have established the validity of these approaches, at minimum in a qualitative sense. However, these theories have not been similarly tested using experimental measurements of diffusion dynamics. Recent diffusion measurements performed using forced Rayleigh scattering (FRS) show something that is not anticipated by any of the theories: an apparent super-diffusive regime on length scales 10-1000 times greater than Rg, even though the gels show no signs of structure at this scale. Similar behavior has now been observed in four separate systems, suggesting it is common across many polymers. It is hypothesized that this super-diffusive regime is due to molecular "jumping" or "hopping" as the dominant diffusion mechanism at long length scales, something that is not anticipated in existing theories. Preliminary Brownian dynamics simulations performed on a simplified associative polymer model for center-of-mass diffusion show that this hypothesis produces diffusion results that qualitatively match the FRS measurements. Throughout the proposal, effects of molecular design will be systematically explored using FRS and X-ray photon correlation spectroscopy (XPCS), both in experiments and using simplified coarse-grained models. Because of the ubiquitous nature of associative polymers in applications and the key importance of dynamics in these materials for their end use, the potential for fundamental scientific insight provided by the proposed work will be large across many different industries and technology areas, ranging from oil recovery to lubricants to medicine to food. To share with the broader community excitement about the interesting physics of these everyday materials, a series of educational videos will be made for YouTube that explain different aspects of the experiments and theory as they develop. In the final year of the project, a collaboration will start with a high-school teacher to develop an educational model that combines the videos with simple lab rheology experiments to introduce students to the concepts of associative polymers.

非技术概述：结合聚合物是含有“粘性”官能团的大分子，通过可逆的物理键将它们结合在一起。一些最广泛使用的聚合物是结合聚合物，包括用于制造高尔夫球的聚合物，尿布中的吸收凝胶，洗发水或护发素的流动调节剂，以及用于生物医学用途和提高石油采收率的新材料。这些现有材料的使用和新系统的开发依赖于对分子如何运动的理解：它们如何被加工成最终物体的形状，以及它们如何在机械力下变形。最终，这些特性是由分子在微观尺度上的运动方式决定的。最近，研究人员发现，结合聚合物中的分子运动显示出分子运动速度和运动距离之间意想不到的关系，这促使人们重新考虑聚合物性能设计背后的一些科学理解。该项目将使用专门的x射线和激光技术来研究结合聚合物在微纳米尺度上的运动，使我们能够进一步了解它们运动的机制。这些系统的理论和模拟将应用于将分子特性与新聚合物的化学设计联系起来，为更快地发现改进的聚合物材料提供基础见解。一个多样化的研究生和本科生研究人员群体将通过这个项目成为学徒，发展将为美国经济做出贡献的科学专业知识。该项目的发现将通过YouTube、科学出版物和演讲与公众分享，并将与高中教师合作开发新材料，以激发年轻学生的创造力和发明能力。技术概述：对缔合聚合物的研究已经导致了基于远旋聚合物瞬态网络理论的坚实理论理解，该理论基于模拟变形过程中键结合和解离的动力学方程来模拟网络的动力学。这些概念也导致了黏性劳斯和黏性重复理论的发展，它们基于相同的概念框架，但适用于具有沿主链排列的缔合基团的聚合物。对各种缔合聚合物体系的流变学测量已经建立了这些方法的有效性，至少在定性意义上。然而，这些理论还没有通过扩散动力学的实验测量得到类似的检验。最近使用强迫瑞利散射（FRS）进行的扩散测量显示了任何理论都没有预料到的东西：在长度比Rg大10-1000倍的尺度上明显的超扩散状态，即使凝胶在这个尺度上没有显示出结构的迹象。类似的行为现在已经在四个不同的系统中被观察到，这表明它在许多聚合物中是常见的。假设这种超扩散状态是由于分子“跳跃”或“跳跃”作为长长度尺度上的主要扩散机制，这是现有理论没有预料到的。在一个简化的结合聚合物模型上进行的初步布朗动力学模拟表明，这一假设产生的扩散结果在质量上与FRS测量结果相匹配。在整个提案中，将使用FRS和x射线光子相关光谱（XPCS）系统地探索分子设计的影响，无论是在实验中还是使用简化的粗粒度模型。由于结合聚合物在应用中无处不在的性质，以及这些材料的动力学对其最终用途的关键重要性，所提出的工作提供的基础科学见解的潜力将在许多不同的行业和技术领域，从石油开采到润滑剂，从医药到食品。为了与更广泛的社区分享这些日常材料中有趣的物理现象，我们将在YouTube上制作一系列教育视频，解释实验和理论发展的不同方面。在项目的最后一年，将与一位高中教师合作开发一个教育模型，将视频与简单的实验室流变学实验相结合，向学生介绍结合聚合物的概念。

项目成果

A Molecular Explanation for Anomalous Diffusion in Supramolecular Polymer Networks

• DOI: 10.1021/acs.macromol.7b02465
• 发表时间: 2018-04-10
• 期刊: MACROMOLECULES
• 影响因子: 5.5
• 作者: Ramirez, Jorge;Dursch, Thomas J.;Olsen, Bradley D.
• 通讯作者: Olsen, Bradley D.

Self-Diffusion in a Weakly Entangled Associative Network

弱纠缠关联网络中的自扩散

• DOI: 10.1021/acs.macromol.2c00295
• 发表时间: 2022
• 期刊: Macromolecules
• 影响因子: 5.5
• 作者: Mahmad Rasid, Irina;Rao, Ameya;Holten-Andersen, Niels;Olsen, Bradley D.
• 通讯作者: Olsen, Bradley D.

Effect of sticker clustering on the dynamics of associative networks

贴纸聚类对关联网络动态的影响

• DOI: 10.1039/d1sm00392e
• 发表时间: 2021
• 期刊: Soft Matter
• 影响因子: 3.4
• 作者: Mahmad Rasid, Irina;Do, Changwoo;Holten-Andersen, Niels;Olsen, Bradley D.
• 通讯作者: Olsen, Bradley D.

Hierarchy of relaxation times in supramolecular polymer model networks

超分子聚合物模型网络中弛豫时间的层次结构

• DOI: 10.1039/d1cp04213k
• 发表时间: 2022
• 期刊: Physical Chemistry Chemical Physics
• 影响因子: 3.3
• 作者: Koziol, Martha Franziska;Nguyen, Phuong Loan;Gallo, Shannon;Olsen, Bradley D.;Seiffert, Sebastian
• 通讯作者: Seiffert, Sebastian

Mechanisms of Self-Diffusion of Linear Associative Polymers Studied by Brownian Dynamics Simulation

布朗动力学模拟研究线性缔合聚合物的自扩散机理

• DOI: 10.1021/acs.macromol.1c01508
• 发表时间: 2021
• 期刊: Macromolecules
• 影响因子: 5.5
• 作者: Rao, Ameya;Ramírez, Jorge;Olsen, Bradley D.
• 通讯作者: Olsen, Bradley D.