MsRI-Planning Workshop: Workshop to Define NSF-MSRI for Experimental and Computational Needs for Multi-technique Ambient-Pressure Photoelectron Spectroscopy Beamline

在化学系的支持下，俄勒冈州立大学的格雷戈里·赫尔曼教授、林妮·阿纳多蒂尔教授和凯尔西·斯托尔辛格教授、加州大学圣地亚哥分校的托德·帕斯卡教授和劳伦斯·伯克利国家实验室的伊桑·克鲁姆林博士正在组织一次研讨会，以确定利用常压X射线光电子能谱(APXPS)研究表面和界面化学的新前沿。APXPS方法将与其他基于X射线的方法和计算技术相结合，以表征气体、液体和固体界面的元素、化学和电学性质。设想中的国家界面科学设施可以促进我们对发生在表面和界面上的一系列物理和化学现象的了解，其中许多现象是社会面临的问题的核心，包括水净化、清洁能源储存和发电以及废物修复。这次研讨会将吸引来自学术、工业和政府部门的思想领袖，他们拥有多个跨学科领域的专业知识，包括电化学、环境和大气化学、催化、生物材料和先进制造，为未来基于X射线的界面方法的实验奠定基础。与会者将建立仪器和计算能力，以及解决一系列不断演变的科学问题和实现变革性科学所需的多模式配置。计算和实验的整合，以及仪器方面的新进展，包括自动化和人工智能的使用，也将得到评估。这一奖项反映了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。

With support from the Division of Chemistry (CHE), Professors Gregory Herman, Liney Arnadottir, and Kelsey Stoerzinger of Oregon State University; Professor Tod Pascal of University of California-San Diego; and Dr. Ethan Crumlin of Lawrence Berkeley National Laboratory are organizing a workshop to identify new frontiers in the use of ambient pressure x-ray photoelectron spectroscopy (APXPS) to study chemistry at surfaces and interfaces. APXPS methods would be combined with other x-ray-based methods and computational techniques to characterize the elemental, chemical, and electrical properties of the gas, liquid, and solid interfaces. The envisioned National Interface Science facility could advance our understanding of a broad array of physical and chemical phenomena taking place at surfaces and interfaces, many of which are central to problems facing society, including water purification, clean energy storage and generation, and waste remediation. This workshop will engage thought-leaders from academic, industrial, and governmental sectors with expertise in multiple interdisciplinary areas, including electrochemistry, environmental and atmospheric chemistries, catalysis, biomaterials, and advanced manufacturing, laying the foundation for future experimentation in x-ray based interfacial methods. Participants will establish the instrumental and computational capabilities, as well as the multi-modal configurations needed to address an evolving set of scientific problems and enable transformational science. The integration of computation and experiment, as well as new advances in instrumentation, including the use of automation and artificial intelligence, will also be assessed.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.