NRT- HDR: Computing and Data Science Training for Materials Innovation, Discovery, Analytics

NRT- HDR：材料创新、发现、分析的计算和数据科学培训

• 批准号: 2125703
• 负责人: Arthi Jayaraman
• 金额: $ 299.9万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2125703&HistoricalAwards=false
• 关键词: NRT; HDR; Computing; Data; Science

Polymers are used in everyday products (e.g., food packaging, paints, pipes) and advanced technologies (e.g., microelectronics, drug delivery). Requirements for polymer properties are ever-changing, driven by socio-economic, environmental, and functional issues. Industry and academia need to find new ways to accelerate the design of polymers with optimal properties that address these issues. As a result, there is a demand for a professional workforce with advanced interdisciplinary training in chemistry, materials science, engineering, computer science, and data science. This National Science Foundation Research Traineeship (NRT) award to the University of Delaware (UD) will provide such a training platform at UD and a local minority-serving institution, Delaware State University (DSU). This platform will impart the necessary professional training and cross-disciplinary technical knowledge in high-performance computing (HPC), data science, materials science, and engineering. The project anticipates training 50-60 Ph.D. students at UD and DSU, including 23 funded-trainees, from the core disciplines of materials science, chemical engineering, chemistry, computer science/engineering, and data science. Successful training of the next generation of a diverse workforce across these disciplines will support the increasing shift in research and development from traditional trial-and-error materials experimentation to computing and data-driven fast materials innovation. NRT trainees will build their disciplinary strengths through their degree program-based core courses and receive interdisciplinary training in the secondary disciplines through newly developed courses. The progression of training elements is designed to increasingly infuse interdisciplinary technical knowledge and professional skills into the trainees’ doctoral research projects. Trainees will be co-advised by academic mentors with different disciplinary expertise and have regular interactions with mentors from industry and national laboratories. Further, trainees aiming at industry and national lab careers will participate in summer internships with committed industry/national lab partners. Trainees pursuing academic careers will participate in a two-part teaching certificate program (summer workshop followed by a semester-long teaching fellowship). Every training element is designed to blend technical with professional skills development in ethics, inclusion, collaboration, team science, adaptive communication, and interpersonal negotiation. This approach will ensure trainees from across disciplines overcome barriers involving discipline-specific communication and cultural differences. By the end of their NRT training, these trainees will serve as cross-functional connections between HPC, data science, materials science, and engineering disciplines pushing polymer research forward with their gained knowledge of Materials Innovation, Discovery, and AnalyticS—their ‘MIDAS’ touch.The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary or convergent research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.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.

聚合物用于日常产品（例如，食品包装、油漆、管道）和先进技术（例如，微电子学、药物递送）。由于社会经济、环境和功能问题的驱动，对聚合物性能的要求不断变化。工业界和学术界需要找到新的方法来加速设计具有最佳性能的聚合物，以解决这些问题。因此，需要一支在化学，材料科学，工程，计算机科学和数据科学方面受过高级跨学科培训的专业人才队伍。这个国家科学基金会研究培训（NRT）奖给特拉华州（UD）的大学将提供这样一个培训平台，在UD和当地的少数民族服务机构，特拉华州州立大学（DSU）。该平台将提供高性能计算（HPC），数据科学，材料科学和工程方面的必要专业培训和跨学科技术知识。该项目预计将培养50-60名博士。来自材料科学、化学工程、化学、计算机科学/工程和数据科学等核心学科的23名受资助学员。成功培训这些学科的下一代多元化劳动力将支持研发从传统的试错材料实验向计算和数据驱动的快速材料创新的转变。NRT学员将通过他们的学位课程为基础的核心课程建立自己的学科优势，并通过新开发的课程接受中学学科的跨学科培训。培训内容的发展旨在将跨学科技术知识和专业技能越来越多地注入学员的博士研究项目。学员将由具有不同学科专业知识的学术导师共同提供建议，并与来自行业和国家实验室的导师定期互动。此外，针对行业和国家实验室职业的学员将与致力于行业/国家实验室合作伙伴一起参加夏季实习。 追求学术生涯的学员将参加两部分教学证书计划（夏季研讨会，然后是为期一个学期的教学奖学金）。每一个培训元素都旨在将技术与道德，包容，协作，团队科学，适应性沟通和人际谈判方面的专业技能发展相结合。这种方法将确保来自不同学科的学员克服涉及特定学科沟通和文化差异的障碍。在他们的NRT培训结束时，这些学员将作为HPC，数据科学，材料科学和工程学科之间的跨职能联系，推动聚合物研究向前发展，他们获得了材料创新，发现和分析的知识-他们的“MIDAS”触摸。NSF研究培训（NRT）计划旨在鼓励开发和实施大胆，为STEM研究生教育培训提供新的潜在变革模式。该计划致力于通过创新的、基于证据的、与不断变化的劳动力和研究需求相一致的综合培训模式，在高优先级的跨学科或融合研究领域对STEM研究生进行有效培训。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。