REU Site: Materials Research with Data Science (MAT-DAT)

REU 网站：材料研究与数据科学 (MAT-DAT)

• 批准号: 2150360
• 负责人: Yaroslava Yingling
• 金额: $ 46.89万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2150360&HistoricalAwards=false
• 关键词: REU; Site; Materials; Research; Data

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).NON-TECHNICAL SUMMARYRecently the value of an undergraduate degree has been challenged as demands for greater accountability in higher education have been driven by economic climate and employment considerations. The demand for professionals with science and engineering knowledge and the ability to handle data is increasing across all disciplines. This trend is especially applicable to materials science and engineering, where professionals with both domain and data science knowledge are in very short supply. Thus, it is vitally important to train our future scientists and engineers to be able to gather, handle and interpret complex data. The most efficient way to bridge the gap is to implement student training in data science using hands-on approach, by combining learning modules and research experience. In this REU Site at North Carolina State University, ten students from various academic backgrounds in STEM will be recruited to spend ten weeks of mentor-guided research experiences. Projects will integrate machine learning, informatics, statistical and mathematical methods, and other data science tools in experimental and computational-based materials discovery. A diverse cohort of participants will be recruited each year, leveraging established relationships with minority-serving institutions, and targeting institutions with limited research opportunities. Exposing the students to data science through this REU program is aimed at encouraging them to pursue careers in STEM-related fields.TECHNICAL SUMMARYThis REU site will strive to provide young materials engineers with training and hands-on experience in data science through their involvement in cutting-edge materials engineering projects within NC State community. Projects will integrate machine learning, materials informatics (MI), statistical and mathematical methods, and other data-science tools in experimental and computational-based materials discovery. This REU site is focused on improvements of student knowledge and experience in cutting-edge experimental and computational characterization techniques and application of MI tools that can be used to guide the discovery of novel materials. Through the collection of data and application of MI techniques and principles to their research projects, the students will elucidate new perspectives of engineered materials systems and will be able to directly apply this knowledge to the improvement of system designs and/or the investigation of novel materials applications. The REU site activities are designed to connect students to the data science and materials informatics methods and approaches of their research and to help prepare them for an excellent career in STEM. Focused recruiting efforts will aim to increase participation by underrepresented groups. In addition, the program will enhance graduate students' education by providing mentorship training and experiences.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.

该奖项全部或部分根据2021年美国救援计划法案（公法117-2）资助。非技术摘要最近，由于经济气候和就业考虑因素推动了高等教育更大责任的需求，本科学位的价值受到了挑战。所有学科对具有科学和工程知识以及处理数据能力的专业人员的需求都在增加。这一趋势尤其适用于材料科学和工程，因为在这些领域，同时具备领域和数据科学知识的专业人员非常短缺。因此，培养我们未来的科学家和工程师能够收集、处理和解释复杂数据至关重要。弥合差距的最有效方法是通过结合学习模块和研究经验，使用实践方法对学生进行数据科学培训。在北卡罗来纳州州立大学的REU网站上，将招募十名来自不同学术背景的STEM学生，在导师指导下进行为期十周的研究体验。项目将整合机器学习，信息学，统计和数学方法，以及实验和基于计算的材料发现中的其他数据科学工具。每年将招募一批不同的参与者，利用与少数群体服务机构建立的关系，并针对研究机会有限的机构。通过这个REU项目让学生接触数据科学，旨在鼓励他们从事STEM相关领域的职业。技术总结这个REU网站将努力为年轻的材料工程师提供数据科学方面的培训和实践经验，通过他们参与NC State社区内的尖端材料工程项目。项目将整合机器学习，材料信息学（MI），统计和数学方法以及实验和基于计算的材料发现中的其他数据科学工具。这个REU网站的重点是提高学生的知识和经验，在尖端的实验和计算表征技术和MI工具的应用，可用于指导新材料的发现。通过数据的收集和MI技术和原则的应用到他们的研究项目，学生将阐明工程材料系统的新观点，并将能够直接应用这些知识来改进系统设计和/或新材料应用的调查。REU网站活动旨在将学生与数据科学和材料信息学方法和研究方法联系起来，并帮助他们为STEM的出色职业生涯做好准备。重点招聘工作的目标是增加代表性不足群体的参与。此外，该计划将通过提供导师培训和经验来加强研究生的教育。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。