DMREF/GOALI: Discovery and Design of Additives for Novel Polymer Morphology and Performance

DMREF/GOALI：新型聚合物形态和性能添加剂的发现和设计

• 批准号: 1729304
• 负责人: Gregory Rutledge
• 金额: $ 109万
• 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 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1729304&HistoricalAwards=false
• 关键词: DMREF; GOALI; Discovery; Design; Additives

Plastics like polyethylene and polypropylene constitute an important and increasingly diverse sector of the advanced materials market, due to their unique combinations of processability, mechanical, thermal, optical and even electronic properties. Historically, these materials have been developed and refined over many decades, largely through time-consuming empirical methods. In today's world, global competitiveness depends on shorter development cycles for the discovery and development of new materials. For example, the design of additives to produce lightweight plastics that are stiffer and tougher than those currently available would benefit societal and economic requirements for energy and material conservation. With these things in mind, this Designing Materials to Revolutionize and Engineer our Future (DMREF) Grant Opportunities for Academic Liaison with Industry (GOALI) project seeks to accelerate the development of advanced plastics through the rapid evaluation of additives that change the structure, and therefor the properties, of the final product. It does so through an iterative process of high throughput screening using high performance computing, and targeted experimentation with "best in class" candidates. This approach represents a new paradigm that can contribute to US competitiveness and innovative practices, which in turn translate into job creation within the US manufacturing economy. Collaboration with industry on this project provides a mechanism to realize these benefits. This project further serves society through the education and professional development of engineers and scientists, and through propagation of successful practices into other areas of advanced materials discovery. The new paradigm for materials discovery envisioned for this project is based on the synergistic application of (i) molecular level simulation, (ii) experimental validation, (iii) materials design and optimization, and (iv) industrial application, to identify essential relationships between molecular structure, morphology and performance. In the program, this paradigm is realized through the discovery and design of additives (nucleating agents, clarifiers, nanofillers, etc.) that alter the semicrystalline morphology of polyolefins, and thereby their properties as well. Molecular simulations are used to conduct broad screenings of additive classes and then validated experimentally in select cases using a new technique to measure heterogeneous nucleation kinetics. Evolutionary strategies and related methods are used to design and optimize candidates within and across additive classes, for subsequent synthesis, development and characterization within the laboratories of the industrial collaborator. This project advances scientific and technical knowledge regarding how the properties and performance of polyolefins can be transformed through rational design of additives that can manipulate crystallization kinetics and semicrystalline morphology. It results in new theoretical and computational methods that not only predict nucleation kinetics, but also provide insight into nucleation mechanisms.

聚乙烯和聚丙烯等塑料由于其独特的可加工性、机械、热学、光学甚至电子性能的组合，构成了先进材料市场的一个重要且日益多样化的部门。从历史上看，这些材料已经发展和完善了几十年，主要是通过耗时的经验方法。在当今世界，全球竞争力取决于更短的开发周期，以发现和开发新材料。例如，设计添加剂来生产比目前可用的更硬、更坚韧的轻质塑料，将有利于能源和材料节约的社会和经济需求。考虑到这些因素，这个设计材料以革新和工程我们的未来（DMREF）学术与工业联络（GOALI）项目的资助机会旨在通过快速评估改变最终产品结构和性能的添加剂来加速先进塑料的开发。它通过使用高性能计算进行高通量筛选的迭代过程，以及对“同类最佳”候选人进行有针对性的实验来实现这一目标。这种方法代表了一种新的范式，可以促进美国的竞争力和创新实践，进而转化为美国制造业经济中的就业创造。与工业界在这个项目上的合作提供了一种实现这些好处的机制。该项目通过工程师和科学家的教育和专业发展，以及将成功的实践推广到其他先进材料发现领域，进一步为社会服务。本项目设想的材料发现的新范式是基于(i)分子水平模拟，（ii）实验验证，（iii）材料设计和优化，以及（iv）工业应用的协同应用，以确定分子结构，形态和性能之间的基本关系。在程序中，这种模式是通过发现和设计添加剂（成核剂、澄清剂、纳米填料等）来实现的，这些添加剂可以改变聚烯烃的半晶形态，从而改变它们的性能。分子模拟用于进行添加剂类别的广泛筛选，然后在选择的情况下使用一种新的技术来测量非均相成核动力学进行实验验证。进化策略和相关方法用于设计和优化添加剂类别内部和跨类别的候选材料，以便在工业合作伙伴的实验室中进行后续的合成、开发和表征。该项目推进了有关如何通过合理设计可以操纵结晶动力学和半结晶形态的添加剂来改变聚烯烃性质和性能的科学和技术知识。它产生了新的理论和计算方法，不仅可以预测成核动力学，而且可以深入了解成核机理。

项目成果

Bayesian Optimization for Material Discovery Processes with Noise

• DOI: 10.1039/d1me00154j
• 发表时间: 2022
• 期刊: Molecular Systems Design & Engineering
• 作者: S. Diwale;M. K. Eisner;Corinne Carpenter;Weike Sun;Greg C Rutledge;R. Braatz

Heterogeneous Nucleation of High-Density Polyethylene Crystals on Graphene within Microdomains

• DOI: 10.1021/acs.macromol.3c00342
• 发表时间: 2023-05-15
• 期刊: MACROMOLECULES
• 影响因子: 5.5
• 作者: Volchko，Nathan W. W.;Rutledge，Gregory C. C.
• 通讯作者: Rutledge，Gregory C. C.