Conference: Experimental Combustion: Past, Present, and Future -- International Combustion Institute Summer School (CI-SS) 2023

该奖项旨在为参加加州大学欧文分校强化燃烧暑期班的学生提供支持。作为UCI燃烧学院暑期学校(UCI CI-SS)的一部分，研究生将接触到全面的课程，包括课堂和实验室环境中的专业讲座。UCI-SS的目标是遵循暑期班参与者和讲师在多样性和包容性方面的最佳做法，特别是从传统上代表性不足的少数群体中挑选该领域的知名专家作为榜样。暑期班旨在为参与者提供在为期五天的住宿计划中与同龄人互动的重要机会。该计划主要由八个杰出的专业讲座组成，涵盖从现有方法到为未来应用而开发的方法。试行时间为2023年8月20日至25日。加州大学欧文分校暑期学校(UCI CI-SS)不仅提供了将燃烧科学从过去延伸到现在的机会，还提供了超越已知传统方法的机会。UCI-SS包括三个关键的特点，包括：(1)对实验燃烧方法的详细介绍，以更好地了解燃烧物理；(2)通过动手实验进行最先进的燃烧诊断；以及(3)不确定性量化和与数值预测的比较。在整个课程中将遵循对获取、多样性、公平和包容性(ADEI)方面的真正承诺。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This award is to provide support for students to attend the University of California, Irvine intensive combustion summer school. As part of this UCI Combustion Institute Summer School (UCI CI-SS), graduate students will be exposed to comprehensive curriculum that includes both professional lectures in classrooms and in laboratory environment. The UCI CI-SS is targeted to follow the best practices for diversity and inclusiveness from the summer school participants and lecturers, particularly selecting well-established experts in the field from traditionally underrepresented minorities as role models. The summer school is designed to provide significant opportunity for participants to interact with their peers within the five-day long residential program. The program consists primarily of eight distinguished professional lectures covering from existing methods to those being developed for future applications. The tentative program will be held from August 20 through 25, 2023. The UC Irvine Summer School (UCI CI-SS) offers the opportunity to bridge not only the combustion science from past to present but also extends beyond the known conventional approaches. The UCI CI-SS includes three critical distinguishing features comprising: (1) a detailed introduction to experimental combustion methods to better understand combustion physics, (2) state-of-the art combustion diagnostics through hands on experimentation, and (3) uncertainty quantification and comparison with numerical predictions. A true commitment to access, diversity, equity, and inclusion (ADEI) aspects will be followed throughout the course.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.