Simulation of bicontinuous phase formation in additive-filled and shape-asymmetric diblock copolymers

CBET-0756248 Escobedo智力优点本项目的目标是使用分子模拟来（1）量化聚合物和纳米颗粒添加剂对线性二嵌段共聚物（DBC）中双连续相的起始和结构的影响，以及（2）阐明DBC链的嵌段之间的熵差异对双连续相行为的影响。第一个目标是了解添加剂对给定嵌段的选择性亲和力如何分布和改变复杂DBC双连续相的结构（就像陀螺、双菱形和水管工噩梦阶段，其中少数组件块形成两个交织的3D网络）;可以预见，添加剂类型、大小、亲和力和浓度的适当选择可以抑制或稳定特定的双连续相。因此，一个具体的目的是阐明最佳添加剂的设计（例如，在尺寸和拓扑学上），其最大化目标双连续相稳定性组成范围。还将研究竞争共连续相（少数块形成单个3D网络的相）的存在。我们的第二个目标是系统地量化块厚度和骨干的灵活性的差异对双连续相行为的影响。在厚度（形状）和刚度上具有固有差异的非热分子可导致不对称堆积相互作用，即，- 颗粒的相对端之间的有效“排斥”，其可产生类似于常规DBC（具有能量块间差异）的相行为。将有一个调查，如何设计系统的熵，而不是能量，将是主要的驱动力的组装不同的双连续相。从纯DBCs的双连续相的分析开始，通过晶格上的Monte Carlo模拟和连续空间Monte Carlo和分子动力学模拟，进行以下任务：（i）确定选择性添加剂的效果（聚合物和纳米颗粒）在这样的双连续相上，特别是在颗粒集中的区域，（ii）模拟在嵌段亲和力、柔性和厚度（纯的和具有添加剂的）方面具有不同差异的类DBC分子的非晶格粗粒模型，以确定这种变化如何影响相行为以及它们如何被利用来稳定不同的双连续相。为了绘制可靠的相图和改进遍历采样，使用并进一步发展了几种蒙特卡罗方法;特别是，用于测量自由能和化学势平衡的优化膨胀技术。更广泛的影响这项研究提供了将作为“路线图”的相图这不仅可以用于将模拟与实验数据相关联，而且还可以指导未来的实验工作，以实现更具技术针对性的系统。考虑到今天前所未有的能力来合成精确结构和组成的共聚物以及混合有机-无机材料和纳米颗粒，对包含这些构建块的流体的结构和相行为的更好的微观理解可以为合理设计新材料提供更好的基础未来应用，包括燃料电池等储能设备。PI与康奈尔大学实验组的密切合作提供了模拟和实验努力之间的协同作用，我们的研究结果也将在实验聚合物化学家社区中传播。通过康奈尔大学的年度聚合物推广计划研讨会向工业界传播成果。主要的教育成果将是培养一名博士。他也将作为康奈尔大学实验小组联系人。此外，预计至少有一名来自不同大学的本科生研究人员将在夏季通过CCMR（康奈尔大学材料研究中心）的REU计划从事该项目，另一名康奈尔大学本科生将在两个常规学期内从事该项目。本研究的结果将至少应用于两门课程：一门关于分子模拟的新课程，以及高级热力学核心课程。

CBET-0756248EscobedoIntellectual MeritThe goal of this project is to use molecular simulation to (1) quantify the impact of polymeric and nanoparticle additives on the onset and structure of bicontinuous phases in linear diblock copolymers (DBC), and (2) elucidate the effect of entropic disparities between blocks of DBC chains on the behavior of bicontinuous phases. The first goal is focused on understanding how additives with selective affinity for a given block will distribute and modify the structure of complex DBC bicontinuous phases (like the gyroid, double diamond, and plumbers nightmare phases where the minority component block forms two interweaving 3D networks); it is envisioned that a suitable choice of additive type, size, affinity, and concentration may suppress or stabilize a particular bicontinuous phase. A specific aim is thus to elucidate the design of optimal additives (e.g., in size and topology) that maximize the composition range of stability of a target bicontinuous phase. The existence of competing co-continuous phases (those whose minority block forms a single 3D network) will also be investigated. Our second goal is to systematically quantify the effect of disparities in block thickness and backbone flexibility on bicontinuous phase behavior. Athermal molecules having intrinsic disparities in thickness (shape) and stiffness can lead to asymmetricalpacking interactions, i.e., an effective "repulsion" between opposite ends of the particles which could give rise to a phase behavior akin to that of conventional DBCs (that have an energetic inter-block disparity). There will be an investigation as to how to design systems where entropy, as opposed to energy, would be the main driving force underlying the assembly of different bicontinuous phases. Starting from the analysis of bicontinuous phases of pure DBCs via both on-lattice Monte Carlo simulations and continuum space Monte Carlo and molecular dynamics simulations, the following tasks are carried out: (i) determining the effect of selective additives (polymers and nanoparticles) of different sizes and structure on such bicontinuous phases, particularly in the particle-concentrated regime, (ii) simulating off-lattice coarse-grained models of DBC-like molecules with varying disparities in block affinity, flexibility, and thickness (pure and with additives) to determine how such changes affect the phase behavior and how they could be exploited to stabilize different bicontinuous phases. To map out reliable phase diagrams and improve ergodic sampling, several Monte Carlo methods are used and further developed; in particular, optimized expandedensemble techniques for measuring free-energies and for chemical potential equilibration.Broader ImpactsThis investigation provides phase diagrams that will serve as "road maps" which could not only be used to correlate simulations with experimental data but also to guide future experimental efforts toward more technologically targeted systems. Given Today's unprecedented ability to synthesize copolymers of precise architecture and composition as well as hybrid organic-inorganic materials and nanoparticles, a better microscopic understanding of the structure and phase behavior of fluids containing these building blocks could provide a sounder basis for rational design of new materials for future applications, including energy-storing devices like fuel cells. The close collaboration of the PI with an experimental group at Cornell provides the synergy between simulation andexperimental efforts and that our findings will also be disseminated within the community ofexperimental polymer-chemists. Dissemination of results to industry is made through Cornell's annual Polymer Outreach Program symposium. The main educational outcome will be the training of a Ph.D. student who will also serve as a link with an experimental group at Cornell. In addition, it is expected that al least one undergraduate researcher from a different university will work on this project during a Summer via the REU program of CCMR (Cornell Center for Materials Research) and another Cornell undergraduate during two regular Semesters. Results of this investigation will be used in at least two classes: a new course on molecular simulations, and the advanced thermodynamics core course.