REU Site: Interdisciplinary Research Experience in Computational Sciences

REU 网站：计算科学的跨学科研究经验

• 批准号: 1852454
• 负责人: Juana Moreno
• 金额: $ 35.89万
• 依托单位: Louisiana State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-03-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1852454&HistoricalAwards=false
• 关键词: REU; Site; Interdisciplinary; Research; Experience

Computational simulations are rapidly emerging as a co-equal branch of inquiry with experiment and theory. In parallel, automated instruments store massive amounts of measurements. However, computational science will only fulfill its full potential if advances in undergraduate and graduate education accompany the advances in hardware. The 30 undergraduate students participating in this Research Experience for Undergraduates (REU) program are engaged with varied computational science projects, learn how to use state-of-the-art cyberinfrastructure tools, manage large amounts of data, experience activities that characterize research careers, and work in interdisciplinary research teams. The Center for Computation & Technology (CCT) at Louisiana State University provides an ideal setting for the REU student to become familiar with interdisciplinary research. For ten weeks in the summer, the students work collaboratively with their mentors on a wide variety of computational science projects. With research groups exploring gravitational waves, complex emergent phenomena in material science, or computational music and arts, the participants work on cutting edge research in computational sciences. By preparing the next generation of students in the computational sciences, this project serves the national interest, as stated by NSF's mission: to promote the progress of science; to advance the national health, prosperity and welfare; or to secure the national defense.There is a clear need for training the workforce on computing and computational science. But, currently, the majority of students learn little, if any, Computational Science (CSci) in the classroom and are not prepared for CSci research or data science. This proposal provides an evidence-based approach to address these issues and prepare the next generation of students. One of the current barriers in CSci education is that while CSci is intrinsically multidisciplinary, traditional academic departments set rigid boundaries between disciplines. Because LSU Center for Computation & Technology is not an academic unit, it provides an ideal setting for the REU student to become familiar with interdisciplinary research by participating in a multidisciplinary research team. During ten weeks the participants experience activities that characterize research careers, such as presenting their research in scholarly forums, and working on the soft- and hard-skills needed in interdisciplinary research. Faculty mentors work with the students in individual and group meetings, and they provide activities that help students appreciate the nature of multidisciplinary research and the value of working as a team. At the conclusion of the REU, students are encouraged to continue their CSci research and present their work at their home institution, informing others about computational 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.

计算模拟正迅速成为与实验和理论同等重要的研究分支。与此同时，自动化仪器存储大量的测量数据。然而，只有在本科和研究生教育的进步伴随着硬件的进步的情况下，计算科学才能充分发挥其潜力。参加这个本科生研究经验（REU）计划的30名本科生参与各种计算科学项目，学习如何使用最先进的网络基础设施工具，管理大量数据，体验表征研究职业的活动，并在跨学科研究团队中工作。路易斯安那州立大学的计算技术中心（CCT）为REU学生熟悉跨学科研究提供了理想的环境。在夏季的十周里，学生们与他们的导师合作开展各种各样的计算科学项目。随着研究小组探索引力波，材料科学或计算音乐和艺术中的复杂新兴现象，参与者致力于计算科学的前沿研究。通过培养下一代的计算科学学生，该项目服务于国家利益，正如NSF的使命所述：促进科学进步;促进国家健康，繁荣和福利;或确保国防。但是，目前，大多数学生在课堂上几乎没有学到计算科学（CSCI），也没有为CSCI研究或数据科学做好准备。该提案提供了一种基于证据的方法来解决这些问题，并为下一代学生做好准备。CSCI教育当前的障碍之一是，虽然CSCI本质上是多学科的，但传统的学术部门在学科之间设定了严格的界限。由于LSU计算技术中心不是一个学术单位，它为REU学生提供了一个理想的环境，通过参加多学科研究团队来熟悉跨学科研究。在十周的时间里，参与者将体验研究职业的特色活动，例如在学术论坛上展示他们的研究，并学习跨学科研究所需的软技能和硬技能。教师导师与学生在个人和小组会议，他们提供的活动，帮助学生欣赏多学科研究的性质和作为一个团队工作的价值。在REU结束时，鼓励学生继续他们的CSCI研究，并在他们的家乡机构介绍他们的工作，告知他人有关计算科学。该奖项反映了NSF的法定使命，并已被认为是值得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的支持。

项目成果

Quantum mixed state compiling

• DOI: 10.1088/2058-9565/acc4e3
• 发表时间: 2022-09
• 期刊: Quantum Science and Technology
• 影响因子: 6.7
• 作者: Nic Ezzell;E. Ball;Aliza U. Siddiqui;M. Wilde;A. Sornborger;Patrick J. Coles;Zoe Holmes

Code to Cope: Supporting Self-Care by Integrating Creative Coding and Coping Mechanisms

应对代码：通过整合创造性编码和应对机制来支持自我保健

• DOI: 10.1145/3591196.3593335
• 发表时间: 2023
• 期刊: ACM
• 作者: Nam, Hye Yeon;Webb, Andrew M.;Tucker, Raymond;Harmon, Brendan
• 通讯作者: Harmon, Brendan

A domain decomposition approach to accelerate simulations of structure preserving nematic liquid crystal models

• DOI: 10.1016/j.jnnfm.2020.104335
• 发表时间: 2020-09
• 期刊: Journal of Non-newtonian Fluid Mechanics
• 影响因子: 3.1
• 作者: Sylver Carter;Amit Rotem;Shawn W. Walker

FloraWear: Wearable Living Interface

FloraWear：可穿戴生活界面

• DOI: 10.1145/3569009.3572801
• 发表时间: 2023
• 期刊: ACM
• 作者: Nam, Hye Yeon;Campbell, JaNiece;Webb, Andrew M.;Harmon, Brendan
• 通讯作者: Harmon, Brendan

rtrees: an R package to assemble phylogenetic trees from megatrees

• DOI: 10.1111/ecog.06643
• 发表时间: 2023-04
• 期刊: Ecography
• 影响因子: 5.9
• 作者: Daijiang Li