NRT-HDR: Quantitative Analysis of Dynamic Structures

先进材料对许多具有社会效益的应用都很重要，包括柔性电子产品、太阳能电池板、可回收塑料、抗菌涂料、水净化系统和下一代电池。这些材料的性质在很大程度上取决于它们的结构或各种原子和较大单元的排列方式。新的仪器和材料的数学模型使科学家能够测量和预测其中的一些性质。然而，这些技术产生大量的数据，需要复杂的分析。斯托尼布鲁克大学获得的国家科学基金会研究培训（NRT）奖将培养具有分析与复杂材料结构和特性相关的大型数据集技能的多样化研究人员。这些学生将参加科学交流，工作场所多样性，职业道路和团队建设研讨会，以满足对受过数据科学培训的劳动力日益增长的需求。此外，斯托尼布鲁克教师将与美国化学学会桥梁计划和服务于少数民族和残疾学生的机构合作，以促进科学和工程博士课程中代表性不足的学生的成功。该项目预计将培训来自化学、材料科学、化学工程、机械工程和地球科学领域的七十五（75）名博士生，其中包括三十八（38）名受资助的学员。NRT学员将为材料社区开发新的软件工具和实验方法，为改进先进材料的设计做出贡献。仪器的进步使探测跨越许多时间和长度尺度的结构动力学具有前所未有的能力，具有令人难以置信的高数据采集率。该研究的变革性方面包括开发用于反应的快速原位X射线光谱的新算法;复合材料参数空间的自动筛选，以推进材料发现的步伐;以及蒸发组装过程中纳米颗粒运动的首次时间分辨测量。主要培训内容是：（1）关于数据分析软件和/或算法开发的跨学科研究;（2）将不同学员聚集在一起的暑期学校;（3）关于新兴计算和实验工具的新选修课程和较短模块;（4）围绕共同主题的混合小组会议;（5）可扩展的负责任的研究，专业发展和职业道路模块的行为;（6）由艾伦阿尔达中心传播科学提供的科学传播培训;以及（7）学生主导的职业阶梯计划，通过个人发展计划（IDP）和针对学生职业目标的活动进行指导指导。为了扩大学员的利益，该项目将实施一个新的研究生证书的定量分析动态结构，过渡到暑期学校的自我维持计划向全国学生开放，并分发课程材料作为开放式视频讲座。NSF研究培训（NRT）计划旨在鼓励发展和实施大胆的，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。

Advanced materials are important for many applications with societal benefits, including flexible electronics, solar panels, recyclable plastics, antibacterial coatings, water purification systems, and next-generation batteries. Properties of these materials depend heavily upon their structure or how various atoms and larger units are arranged. New instruments and mathematical models of materials allow scientists to measure and predict some of these properties. However, these techniques yield large quantities of data requiring complex analyses. This National Science Foundation Research Traineeship (NRT) award to Stony Brook University will train a diverse population of researchers with the skills to analyze the large data sets associated with complex material structures and properties. These students will participate in scientific communication, workplace diversity, career paths, and team-building workshops to meet the growing needs for a workforce trained in data science. Additionally, Stony Brook faculty will work together with the American Chemical Society Bridge Program and institutions that serve minority and disabled students to promote success of underrepresented students in science and engineering PhD programs. The project anticipates training seventy-five (75) PhD students, including thirty-eight (38) funded trainees, from the fields of chemistry, materials science, chemical engineering, mechanical engineering, and geosciences. NRT trainees will develop new software tools and experimental methods for the materials community, contributing to improved design of advanced materials. Advances in instrumentation have enabled an unprecedented ability to probe structural dynamics that span many time and length scales, with incredibly high rates of data acquisition. Transformative aspects of the research include the development of new algorithms for rapid in situ X-ray spectroscopy of reactions; automated screening of parameter space of composites to advance the pace of materials discovery; and the first time-resolved measurements of nanoparticle motion during evaporative assembly. The main training elements are (1) interdisciplinary research on development of software and/or algorithms for data analysis; (2) a summer school that brings cohorts of diverse trainees together; (3) new elective courses and shorter modules on emerging computational and experimental tools; (4) hybrid group meetings centered around a common theme; (5) scalable responsible conduct of research, professional development, and career paths modules; (6) science communication training provided by the Alan Alda Center for Communicating Science; and (7) a student-driven career ladder program and guided mentorship through Individual Development Plans (IDPs) and activities tailored to students' career goals. To extend benefits beyond trainees, the project will implement a new graduate certificate on Quantitative Analysis of Dynamic Structures, transition the summer school to a self-sustaining program open to students nationwide, and distribute curriculum materials as open-access video lectures.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.