REU Site: Research Experiences in Computational Science, Engineering, and Mathematics (RECSEM).

田纳西大学（UTK）的计算科学，工程和数学（RECSEM）REU网站计划的研究经验每年吸引一组10名本科生，通过各种计算密集型和数据驱动的应用程序探索新兴的跨学科计算科学模型和技术。RECSEM计划补充了计算科学在许多高级学位课程中日益增长的重要性，并为本科生提供了科学的理解和发现，重点是使用高性能计算（HPC）的研究项目。该计划旨在通过与在计算科学联合研究所（JICS），创新计算实验室（ICL）和橡树岭国家实验室从事科学计算研究的科学家团队合作，为学生提供真实的研究体验。由香港几所合作大学支持的国际学生也参加了这个项目。RECSEM的学生一起合作，以实现他们的研究目标，同时分享一个独特的机会，在为期十周的课程中交流学术经验，科学思想，文化和社会活动。该计划围绕许多科学学科共同的思想和实践组织。研究项目分为三个相互关联的研究领域：工程应用，数值数学和线性代数软件和工具。这些项目的工作范围侧重于在每个科学领域的专家团队的指导下，开发科学模型推导，软件实施和数值实验评估方面的技能。项目包括面向计算的多尺度材料科学和生物力学应用，交通流现象的模拟，以及使用机器学习和数据分析的不同技术和算法处理图像。学生们有机会在HPC集群上进行大规模的科学模拟，以及世界一流的最先进的超级计算机，这些超级计算机配备了极限科学与工程发现环境（XSEDE）组织提供的最新硬件技术，并包括具有图形处理单元（GPU）的计算单元。RECSEM计划分为四个主要活动：HPC培训，研究制定，项目行动和科学报告。这些阶段旨在引导学生在REU期间按时完成他们的研究项目，同时提供适当的激励和指导。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。

The Research Experiences in Computational Science, Engineering, and Mathematics (RECSEM) REU site program at the University of Tennessee (UTK) engages a group of ten undergraduate students each year to explore emerging interdisciplinary computational science models and techniques via a variety of compute-intensive and data-driven applications. The RECSEM program complements the growing importance of computational sciences in many advanced degree programs and provides scientific understanding and discovery to undergraduates with an intellectual focus on research projects using high performance computing (HPC). This program aims to deliver a real-world research experience to the students by partnering with teams of scientists engaged in scientific computing research at the Joint Institutes of Computational Sciences (JICS), the Innovative Computing Laboratory (ICL), and Oak Ridge National Laboratory. International students supported by several partnering universities in Hong Kong also participate in this program. Together the students of RECSEM work collaboratively to achieve their research goals, and at the same time share a unique opportunity for trading academic experiences, scientific ideas, and cultural and social activities in the ten week long programs.The program is organized around ideas and practices common to many scientific disciplines. The research projects are categorized into three interrelated areas of research interests: engineering applications, numerical mathematics, and linear algebra software and tools. The scope of work for these projects puts emphasis on developing skill sets in scientific model derivation, software implementation, and evaluation of numerical experiments, under the guidance of a team of experts in each scientific domain. Projects include computationally oriented multi-scale materials science and biomechanics applications, simulation of traffic flow phenomena, and processing of images using different techniques and algorithms from machine learning and data analytics. The students have opportunities to perform large-scale scientific simulations on HPC clusters as well as world-class state-of-the-art supercomputers equipped with the latest hardware technologies provided by the Extreme Science and Engineering Discovery Environment (XSEDE) organization, and include computing units with graphical processing units (GPUs). The RECSEM program is organized into four major activities: HPC training, research formulation, project action, and scientific reporting. These stages aim to lead the students toward completing their research projects on time during the REU period, while providing the appropriate level of motivation and guidance.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.