Track-2: The Smart MATerial Design, Analysis, and Processing (SMATDAP) consortium: Building next-generation polymers and the tools to accelerate cost-effective commercial productio

Track-2：智能材料设计、分析和加工 (SMATDAP) 联盟：构建下一代聚合物和工具以加速具有成本效益的商业生产

• 批准号: 1430364
• 负责人: John Hamilton
• 金额: $ 269.98万
• 依托单位: Mississippi State University
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1430364&HistoricalAwards=false
• 关键词: Track; Smart; MATerial; Design; Analysis

Non-technical DescriptionThe goals of the project are strongly aligned with the statewide plans for development in science and technology for both Louisiana and Mississippi. Both states have significant research talent in chemistry, materials, and computations which are synergistic with the significant economic impact of the polymer industry of the region. The development of computer software to monitor and control polymer synthesis has the potential to impact the Gulf region and national polymer industry by advancing the capabilities for materials synthesis. Software development will be used to offer polymer characterization workshops and catalyze the development of new patents in materials synthesis. Regional manufacturers will play a role in using the results from computational and materials research and will participate by providing internships for participating graduate students. Advancing polymer manufacture and control will increase efficiency in the use of energy, non-renewable feedstocks, and plant and labor time, while reducing emissions and increasing safety.Technical DescriptionThe research is aligned with the Materials Genome Initiative?s goals of accelerating advanced materials development, with computational research serving as a key component for discovery and processing guidance. With its scientific focus on developing and proving the next-generation polymerization monitoring platform, the research promises to overcome barriers in bringing stimuli responsive polymers (SRPs) to market and strengthen regional economic competitiveness. Research activities are aligned along the materials design and process design paths to develop new experimental and computational tools for accelerating materials development and bridging polymer synthesis to manufacture. New SRP materials will be designed using polymer synthesis, molecular modeling, and computational control. Outcomes will include: self-assembled polymers for drug delivery and environmental remediation, self-healing polymer networks, and smart nano-composites using SRP-modified nanoparticles as building blocks. The results have the potential to transform medical and sustainable materials applications.

非技术描述该项目的目标与路易斯安那州和密西西比州的全州科学技术发展计划密切相关。这两个州在化学、材料和计算方面都有重要的研究人才，这与该地区聚合物工业的重大经济影响是协同的。监测和控制聚合物合成的计算机软件的发展有可能通过提高材料合成能力来影响海湾地区和国家聚合物工业。软件开发将用于提供聚合物表征研讨会，并促进材料合成新专利的开发。区域制造商将在使用计算和材料研究成果方面发挥作用，并将通过为参与的研究生提供实习机会来参与。推进聚合物制造和控制将提高能源、不可再生原料的使用效率，缩短工厂和劳动时间，同时减少排放，提高安全性。技术描述该研究符合材料基因组计划？美国的目标是加速先进材料的发展，计算研究作为发现和加工指导的关键组成部分。该研究的科学重点是开发和验证下一代聚合监测平台，有望克服将刺激反应聚合物（SRPs）推向市场的障碍，增强区域经济竞争力。研究活动沿着材料设计和工艺设计路径对齐，以开发新的实验和计算工具，以加速材料开发和连接聚合物合成到制造。新的SRP材料将使用聚合物合成、分子建模和计算控制来设计。结果将包括：用于药物输送和环境修复的自组装聚合物，自修复聚合物网络，以及使用srp修饰的纳米颗粒作为构建块的智能纳米复合材料。研究结果有可能改变医疗和可持续材料的应用。