Collaborative Research: NRT-DESE: Interdisciplinary Research Traineeships in Data-Enabled Science and Engineering of Atomic Structure

合作研究：NRT-DESE：数据支持的原子结构科学与工程跨学科研究实习

• 批准号: 1633094
• 负责人: Caesar Jackson
• 金额: $ 43.91万
• 依托单位: North Carolina Central University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1633094&HistoricalAwards=false
• 关键词: Collaborative; Research; NRT; DESE; Interdisciplinary

In many important natural, synthetic and engineered materials, functionality and properties emerge at or below the nanoscale; however, quantifying atomic structure (i.e., local chemistry, bonding, atomic positions, spatial correlations and topology) in three-dimensions, through time and varying length scales, remains a challenge. This National Science Foundation Research Traineeship (NRT) award to North Carolina State University and North Carolina Central University will develop a new educational paradigm for Data-Enabled Science and Engineering of Atomic Structure (SEAS) to address the demand for a new generation of interdisciplinary, data-driven scientists who can apply advanced statistical methods to atomic-structure data generated from cutting-edge analytical and computational experiments. The research pioneered by these students will ultimately lead to a greater understanding of how the atomic structures of materials govern their physical properties (e.g. electronic, optical, mechanical). The project anticipates training at least forty (40) MS and PhD students over the five-year grant, including twenty (20) funded trainees, from materials science, physics, statistics and applied mathematics. With large investments in our national scientific infrastructure at both Federal laboratories and universities, a new and evolving generation of atomically sensitive instruments has opened new opportunities for next-generation science. Parallel to these developments in measurement sciences, great strides have been made in computational materials science, which are providing unprecedented opportunities for predictive materials design. The SEAS effort will develop a new graduate-training model, responding to the emergence and rapid growth of this critical interdisciplinary research at the interface of materials and data science and contributing directly and indirectly to the national Materials Genome Initiative (MGI), a multi-agency initiative spearheaded by the White House that advances the U.S. economy by enabling faster deployment of new materials. The SEAS traineeship program will immerse graduate students in a unique interdisciplinary curricular and research environment in which the trainees will be team-mentored by a diverse group of faculty and external industry and national laboratory scientists. The students will design professional development portfolios that will include laboratory rotations, interdisciplinary research group activities, internships, research training modules, communication training, and leadership-training activities. SEAS will promote and enhance diversity within the traineeship and larger professional community, and an integral part of the traineeship will be a bridge-to-the-PhD program across the partnering institutions aimed at better preparing underrepresented students to succeed in a research-intensive PhD program.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 Traineeship Track is dedicated to effective training of STEM graduate students in high priority interdisciplinary research areas, through the comprehensive traineeship model that is innovative, evidence-based, and aligned with changing workforce and research needs.

在许多重要的天然、合成和工程材料中，功能和特性都在纳米级或纳米级以下出现；然而，通过时间和不同的长度尺度来量化三维原子结构（即局部化学、键合、原子位置、空间相关性和拓扑）仍然是一个挑战。美国国家科学基金会向北卡罗莱纳州立大学和北卡罗莱纳中央大学颁发的研究实习生 (NRT) 奖将为数据支持的原子结构科学与工程 (SEAS) 开发一种新的教育范式，以满足新一代跨学科、数据驱动的科学家，可以将先进的统计方法应用于尖端分析和计算实验生成的原子结构数据。这些学生开创的研究最终将导致人们更好地了解材料的原子结构如何控制其物理特性（例如电子、光学、机械）。该项目预计在五年资助期内培训至少四十 (40) 名硕士和博士生，其中包括二十 (20) 名受资助的材料科学、物理学、统计学和应用数学领域的受训人员。随着联邦实验室和大学对国家科学基础设施的大量投资，新一代不断发展的原子敏感仪器为下一代科学开辟了新的机遇。与测量科学的这些发展并行，计算材料科学也取得了长足的进步，这为预测材料设计提供了前所未有的机会。 SEAS 的工作将开发一种新的研究生培训模式，以应对材料和数据科学交叉领域这一关键跨学科研究的出现和快速发展，并直接和间接地为国家材料基因组计划 (MGI) 做出贡献，该计划是一个多学科交叉的项目。由白宫牵头的机构倡议，通过更快地部署新材料来促进美国经济发展。 SEAS 实习计划将使研究生沉浸在独特的跨学科课程和研究环境中，在该环境中，实习生将受到多元化的教师群体以及外部行业和国家实验室科学家的团队指导。学生将设计专业发展组合，其中包括实验室轮换、跨学科研究小组活动、实习、研究培训模块、沟通培训和领导力培训活动。 SEAS 将促进和增强实习生和更大的专业社区的多样性，实习生的一个组成部分将是跨合作机构的博士衔接项目，旨在更好地为代表性不足的学生做好研究密集型博士学位的准备NSF 研究实习 (NRT) 计划旨在鼓励为 STEM 研究生教育培训开发和实施大胆的、具有潜在变革性的新模式。培训课程致力于通过创新、循证且符合不断变化的劳动力和研究需求的综合培训模式，对高度优先的跨学科研究领域的 STEM 研究生进行有效培训。