DMREF/Collaborative Research: Controlling Hierarchical Nanostructures in Conjugated Polymers

本项目由材料研究部和化学部通过设计材料来革新和工程我们的未来（DMREF）计划资助。有机聚合物在现代日常生活中无处不在，它们推动了从医疗保健到计算机技术等领域的进步。聚合物的巨大潜力在于它们的多功能性。例如，最近的系统被设计为导电。导电聚合物是潜在的游戏规则改变者，因为它们可以溶解在溶剂中，并像墨水一样印刷在低成本电子产品和传感器的柔性基板上。使用导电聚合物制造电子器件需要能够预测印刷过程如何影响其性能。该项目的pi和学生将使用计算方法指导设计和加速高性能导电聚合物的发现的方法开发新材料。该项目将对未来的科学和工程劳动力产生重大影响，研究生研究人员将获得结合计算机模拟和物理实验的关键新技能。研究小组还将在当地K-12学校开展教育活动，向公众宣传。由于许多有序材料中的分子填充结构，半导体聚合物中的电荷输运通常被描述为二维。最近的观察表明，在半导体聚合物中形成了层次纳米结构，并提出了多维传输途径的可能性。该项目旨在通过计算和实验结果之间的反馈来加速材料的发现。研究团队将开发高效的计算方法来预测导致分层3d传输路径的加工方法和材料。这项研究的一个目标是开发新的计算方法，用于大规模并行计算，以利用计算硬件的进步。新的共轭聚合物将在理论指导下设计，并将进行物理测量以基准计算框架，以了解溶液铸造过程中结构的演变。可扩展的模型，以了解领域边界在半导体聚合物电荷输运中的作用，将利用电子显微镜的结构图开发。半导体聚合物中电荷输运的基准计算研究的开放源代码和大型数据集是研究的焦点。

NON-TECHNICAL SUMMARYThis project is funded by the Division of Materials Research and the Division of Chemistry through the Designing Materials to Revolutionize and Engineer our Future (DMREF) program. Organic polymers are pervasive in modern everyday life, and they have enabled advances in areas ranging from health care to computer technology. The great promise of polymers is their versatility. For example, recent systems have been designed to conduct electricity. Conducting polymers are potential game-changers because they can be dissolved in solvents and printed like inks on flexible substrates for low-cost electronics and sensors. Fabrication of electronic devices using conducting polymers requires the ability to predict how the printing process affects their performance. The PIs and students on this project will develop new materials using an approach in which computational methods guide the design and accelerate the discovery of high performance conducting polymers. The project will have significant impact on the future scientific and engineering workforce with graduate student researchers gaining critical new skills in combining computer simulations and physical experiments. The research team will also perform outreach to the public through educational activities in local K-12 schools.TECHNICAL SUMMARYCharge transport in semiconducting polymers is typically described as two-dimensional due to the molecular packing structure in many ordered materials. Recent observations suggest that hierarchical nanostructures form in semiconducting polymers and suggest the possibility of multi-dimensional transport pathways. This project aims to accelerate discovery of materials through feedback between computational and experimental results. The research team will develop highly efficient computational methodologies to predict processing methods and materials that lead to hierarchical 3D-transport pathways. A goal of the research is to develop new computational methodologies for massively parallel computations to take advantage of advances in computational hardware. New conjugated polymers will be designed with guidance from theory, and physical measurements will be made to benchmark the computational framework, in order to understand the evolution of structure during solution casting. Scalable models to understand the role of domain boundaries in charge transport in semiconducting polymers will be developed using structural maps from electron microscopy. Open source codes and large datasets for benchmarking computational studies of charge transport in semiconducting polymers are a focus of the research.