Summer School for Integrated Computational Materials Education

综合计算材料教育暑期学校

• 批准号: 2213806
• 负责人: Katsuyo Thornton
• 金额: $ 38万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 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: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2213806&HistoricalAwards=false
• 关键词: Summer; Integrated; Computational; Materials; Education

NONTECHNICAL SUMMARYThis award provides support for the Summer School for Integrated Computational Materials Education that is held on the campus of the University of Michigan, Ann Arbor. Established in 2011, this summer school aims to expand the educational opportunities in computational materials science by training and assisting graduate students, postdoctoral fellows, and professors who intend to incorporate computational and data science tools into university-level materials science and engineering education. The participants who complete the program become ambassadors of computational materials science and engineering - they return to their home universities/colleges and implement the modules and approaches presented in the summer school. This in turn stimulates the advancement of computational materials science, and thus will ripple through the broader field of materials science and engineering. Graduate student participants are trained in computational and data science approaches for both research and teaching, providing them the first step towards more in-depth learning of the computational techniques and future career path in higher education. TECHNICAL SUMMARYThis award provides support for the Summer School for Integrated Computational Materials Education. While computational approaches have transformed materials research, the education and training in materials science and engineering have not fully reflected the evolution of the field. In response to the needs and challenges identified by the community, this two-week summer school was established to “educate the educator” by providing training through an intensive course on computational materials science and engineering (CMSE) and focus sessions on educational modules that can be adopted into existing materials science and engineering core courses. This program aims to equip current and future educators with abilities and materials to introduce CMSE to undergraduate students. Graduate students, postdoctoral fellows, and faculty who intend to incorporate computational and data science tools into university-level materials science and engineering education are invited to participate in the program. The modules that have been developed incorporate concepts from thermodynamics, kinetics, electronic properties, and mechanics. By training the educators, the Summer School benefits not only those who attend, but also the undergraduates who would be taught by the participants. It also provides a stepping-stone towards more intensive CMSE research training for researchers who are not necessarily familiar with computational approaches. This in turn broadens the application of computational and data science tools in materials research and development and thus stimulates the advance of computational materials science education, leading to ripple effects in the broader field of materials science and engineering.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.

非技术摘要这一奖项为在密歇根大学安阿伯（Ann Arbor）校园内举行的暑期学校提供了综合计算材料教育的支持。该暑期学校成立于2011年，旨在通过培训和协助研究生，博士后研究员以及打算将计算和数据科学工具纳入大学级材料科学和工程教育的教授来扩大计算材料科学的教育机会。完成该计划的参与者成为计算材料科学和工程学的大使 - 他们返回家乡大学/学院，并实施暑期学校提出的模块和方法。这反过来刺激了计算材料科学的进步，因此将通过更广泛的材料科学和工程领域的领域荡漾。研究生参与者接受了研究和教学的计算和数据科学方法的培训，为他们提供了更深入地学习计算技术和高等教育中未来职业道路的第一步。技术摘要奖为综合计算材料教育的暑期学校提供了支持。尽管计算方法改变了材料研究，但材料科学和工程学的教育和培训并未完全反映该领域的发展。为了应对社区确定的需求和挑战，建立了这项为期两周的暑期学校，以通过对计算材料科学和工程（CMSE）的强化课程（CMSE）提供培训，并将重点介绍给现有的材料科学和工程核心课程。该计划旨在为当前和未来的教育工作者提供能力和材料，将CMSE介绍给本科生。邀请将计算和数据科学工具纳入大学水平的材料科学和工程教育中的研究生，博士后研究员和教师参加该计划。已经开发的模块结合了热力学，动力学，电子特性和力学的概念。通过培训教育工作者，暑期学校不仅使那些参加的人受益，而且使本科生也为不一定熟悉计算方法的研究人员提供了更深入的CMSE研究培训的垫脚石。反过来，这又扩大了计算和数据科学工具在材料研发中的应用，从而刺激了计算材料科学教育的进步，从而在材料科学和工程的更广泛的领域中产生了涟漪效应。该奖项反映了NSF的法定任务，并被认为是通过使用基金会的知识分子和更广泛的影响来审查Criteria通过评估来通过评估来支持的。