NSF Center for the Chemistry of Molecularly Optimized Networks

美国国家科学基金会分子优化网络化学中心（MONET）致力于创造基本知识，并揭示将聚合物网络中单个分子组分的化学结构和性质与基于网络的材料的功能和性质联系起来的可推广的设计原则。网络材料的例子包括汽车轮胎、生物医学植入物和结构材料。这项基础研究的长期创新潜力包括对网络组成进行成本和时间效率的优化，以及对坚韧、长寿命材料的网络耐久性进行显著改进，从而减少浪费。这个多机构合作的研究团队通过开发聚合物化学信息学的开源工具、创造解决工业瓶颈的知识、追求技术转让和知识产权来促进创新。这些努力通过工业伙伴关系、强大的专利组合、衍生公司以及全球工业和学术用户采用新开发的数据工具来证明。monet支持的研究生和博士后研究人员在科学领导、非正式科学传播、创新以及跨学科和协作项目管理方面获得以学生为中心的专业发展机会。它们通过开发、部署和评估低成本、可扩展和分布式研究参与的机制来促进更广泛的科学参与。与行为艺术家合作，莫奈研究的关键概念将通过艺术表演与公众分享。美国国家科学基金会分子优化网络化学中心（MONET）汇集了聚合物化学、合成方法、光化学、多尺度建模和生物偶联方面的专家，开发聚合物网络链和结，展示结构活性和化学反应性的新组合，以增强操作性能和提高使用寿命值。莫奈的研究工作分为三个相互交织的研究重点：第一重点是永久固定网络结构内聚合物链的化学反应性和构象变化，以及链化学如何在聚合物网络的系统级化学行为中表现出来；Thrust 2旨在扩展化学活性结的反应性，以了解聚合物网络动态结构环境中化学反应的基本原理，并确定导致最大网络响应的最小化学干预；Thrust 3开发、部署和使用聚合物数据工具，为社区服务，并确保数据密集型方法可以整合到中心的研究议程中。中心成员强调通过将开源工具开发和知识产权保护结合起来进行研究翻译。该中心培养和发展了一支多样化的化学家队伍，他们相互协作，利用彼此的专业知识。莫奈与行为艺术家合作，鼓励人们对物理科学的兴趣，并让公众参与到分子优化网络的挑战和机遇中来。MONET致力于通过创建和利用工具和数据库来降低共享和比较原始数据的障碍，从而促进数据的使用和重用。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The NSF Center for the Chemistry of Molecularly Optimized Networks (MONET) strives to create the fundamental knowledge and uncover generalizable design principles that connect the chemical structure and properties of the individual molecular components of a polymer network to the function and properties of network-based materials. Examples of network materials include automobile tires, biomedical implants and structural materials. The long-term innovation potential of this fundamental research includes cost- and time-efficient optimization of network composition and dramatic improvements in network durability for tough, longer-lived materials that reduce waste. The multi-institutional and collaborative team of researchers promotes innovation by developing open-source tools for polymer chemistry informatics, creating knowledge that addresses industrial bottlenecks, and pursuing technology transfer and intellectual property. These efforts are demonstrated by industrial partnerships, a robust patent portfolio, spin-off companies, and the adoption of newly developed data tools by industrial and academic users worldwide. MONET-supported graduate students and postdoctoral researchers access student-centered professional development opportunities in scientific leadership, informal science communication, innovation, and interdisciplinary and collaborative project management. They promote broader participation in the sciences by developing, deploying, and assessing mechanisms for low-cost, scalable, and distributed research participation. In partnership with performance artists, key concepts from MONET's research will be shared with the public through artistic performance.The NSF Center for the Chemistry of Molecularly Optimized Networks (MONET) incorporates experts in polymer chemistry, synthetic methods, photochemistry, multi-scale modeling, and bioconjugation to develop polymer network strands and junctions that exhibit new combinations of structural activity and chemical reactivity for enhanced operational performance and improved end-of-life value. MONET's research efforts are organized into three intertwined research thrusts: Thrust 1 focuses on the chemical reactivity and conformational changes of polymer strands within a permanently fixed network structure, and how that strand chemistry is manifested in the systems-level chemical behavior of polymer networks; Thrust 2 seeks to extend the reactivity of chemically active junctions in order to understand the fundamentals of chemical reactivity in the dynamic structural environment of a polymer network, and to identify minimal chemical interventions that result in maximum network response; and Thrust 3 develops, deploys, and uses polymer data tools that serve the community and ensure that data-intensive methods can be integrated into the center’s research agenda. Center members emphasize research translation through a combination of open-source tool development and the protection of intellectual property in their innovation efforts. The center trains and develops a diverse cohort of chemists that works collaboratively and leverages one another's expertise. MONET partners with performance artists to encourage interest in the physical sciences and engage the public in the challenges and the opportunities for molecularly optimized networks. MONET works to advance data use and reuse by creating and utilizing tools and databases that lower the barriers to sharing and comparing primary data.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.