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.

非技术性总结该奖项为在密歇根大学安阿伯校区举办的综合计算材料教育暑期学校提供支持。该暑期学校成立于2011年，旨在通过培训和协助打算将计算和数据科学工具纳入大学材料科学和工程教育的研究生，博士后研究员和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将成为计算材料科学和工程的大使-他们返回自己的大学/学院并实施暑期学校中提出的模块和方法。这反过来又刺激了计算材料科学的进步，从而将涟漪更广泛的材料科学和工程领域。研究生参与者在研究和教学的计算和数据科学方法方面接受培训，为他们提供更深入学习计算技术和未来高等教育职业道路的第一步。该奖项为综合计算材料教育暑期学校提供支持。虽然计算方法已经改变了材料研究，但材料科学与工程的教育和培训尚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，建立了为期两周的暑期学校，通过计算材料科学与工程（CMSE）强化课程和重点课程提供培训，以“教育教育工作者”，这些课程可以被纳入现有的材料科学与工程核心课程。该计划旨在为当前和未来的教育工作者提供向本科生介绍CMSE的能力和材料。研究生，博士后研究员和教师谁打算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被邀请参加该计划。已经开发的模块结合了热力学，动力学，电子性能和力学的概念。通过培训教育工作者，暑期学校不仅使参加者受益，而且使参加者教授的本科生受益。它还为那些不一定熟悉计算方法的研究人员提供了更密集的CMSE研究培训的垫脚石。这反过来又扩大了计算和数据科学工具在材料研究和开发中的应用，从而刺激了计算材料科学教育的进步，在更广泛的材料科学和工程领域产生了涟漪反应。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。