REU Site: The Application of Data Science to Chemistry

本科生研究经验（REU）奖克拉克亚特兰大大学，位于亚特兰大，格鲁吉亚，支持在2022年至2024年的夏天共9名学生的培训9周。这个REU网站由化学部和人力资源开发部HBCU-UP计划支持，为本科生提供了将数据科学方法应用于材料化学问题的具有挑战性的研究经验。除了研究之外，REU计划还包括为期两周的数据科学训练营，科学研讨会，专业发展研讨会，口头演示，计划研讨会结束以及多种社交活动。学生招聘的重点是非洲裔美国人和其他代表性不足的学生，少数民族服务机构的学生，以及研究机会有限的机构的学生。培养材料化学和数据科学交叉领域的下一代材料科学家是加速材料创新的关键。REU计划：（1）为本科生提供将数据科学应用于化学问题的早期研究经验，重点是发表结果，（2）为本科生在STEM和STEM专业劳动力中的研究生学习做好准备，（3）有助于STEM劳动力的多样化。该项目将通过以下关键要素实现这些目标。为期两周的数据科学训练营提高了学生在数据科学及其在化学中的作用方面的技能。研究项目调查数据科学技术的应用，以加速材料创新和结构-性能关系的识别。研究主题包括将数据科学方法应用于晶体多孔材料的开发，用于二维层状氧化物材料的钙钛矿，用于纳米级功能界面的石墨烯和石墨烯纳米带，以及非可持续的石油基复合材料。专业发展机会让学生参加一系列关于未来在STEM取得成功所需主题的研讨会。科学研讨会突出了代表性不足的少数民族研究人员的工作，他们积极将数据科学应用于化学问题。项目结束研讨会为参与者提供了一个向更广泛的社区展示他们工作的机会。该项目活动将帮助学生获得宝贵的专业技能，同时通过数据科学对化学做出重大贡献。该奖项反映了NSF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。

This Research Experiences for Undergraduates (REU) award to Clark Atlanta University, located in Atlanta, Georgia, supports the training of a total of 9 students for 9 weeks during the summers of 2022-2024. This REU site, supported by the Division of Chemistry and the Division of Human Resource Development HBCU-UP program, provides undergraduate students with a challenging research experience in applying data science methods to problems in materials chemistry. In addition to research, the REU program includes a two-week data science bootcamp, scientific seminars, professional development workshops, oral presentations, an end of program symposium, and multiple social activities. Student recruitment focuses on African American and other underrepresented students, students from Minority Serving Institutions, and students from institutions with limited research opportunities. Training the next generation of material scientists at the intersection of materials chemistry and data science is a key to accelerating materials materials innovation . The REU program: (1) provides undergraduates with an early research experience in applying data science to problems in chemistry with the focus on publishing the results, (2) prepares undergraduates for graduate studies in STEM and the STEM professional workforce, and (3) contributes to the diversification of the STEM workforce. The project will achieve these objectives through the following key elements. The two-week data science bootcamp upskills students in data science and its role in chemistry. The research projects investigate applications of data science techniques to accelerate materials innovation and the identification of structure-property relationships. Research topics include applying data science methods to the development of crystalline porous materials, perovskites for 2-dimensional layered oxide materials, graphene and graphene nanoribbons for nanoscale functional interfaces, and non-sustainable petroleum-based composites. Professional development opportunities engage students in a series of workshops on topics necessary for future success in STEM. Scientific seminars highlight the work of underrepresented minority researchers who are active in the application of data science to problems in chemistry. The end-of-program symposium provides participants an opportunity to present their work to the broader community. The project activities will position students to acquire valuable professional skills while making significant contributions to chemistry through data science.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.