Collaborative Research: CyberTraining: Implementation: Medium: Establishing Sustainable Ecosystem for Computational Molecular Science Training and Education

合作研究：网络培训：实施：中：建立计算分子科学培训和教育的可持续生态系统

• 批准号: 2118217
• 负责人: Eric Jankowski
• 金额: $ 10.5万
• 依托单位: Boise State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118217&HistoricalAwards=false
• 关键词: Collaborative; Research; CyberTraining; Implementation; Medium

Computational research in molecular sciences increasingly involves electronic structure theory, advanced sampling algorithms in molecular dynamics/Monte Carlo, and data science and machine learning using increasingly high-end and complex software and hardware resources. The lack of well-curated training materials and hands-on training opportunities significantly inhibits the progress of the next generation of computational molecular science cyberinfrastructure (CI) users. This project will establish an institute focused on serving the advanced cybertraining needs of the communities engaged in computational molecular science and engineering (CMSE). To do so, this project will bring together molecular sciences and engineering experts to address this cybertraining challenge through a core committee, invited instructors, advisory board, and community participants. This project will establish an Institute for Computational Molecular Science Education, which will be designed to create a sustainable ecosystem for training the next generation of research workforce in molecular simulation CI. This project will include educational modules for training in advanced computational tools while bolstering fundamental understanding of underlying theoretical concepts. The project will encompass summer/winter schools for hands-on training on advanced computational techniques and enhancing peer networking for early-stage researchers, web-based content to support training at a larger scale, and curriculum and instructional materials for undergraduate and graduate courses to support course development in CMSE. This project will train the next generation of professionals in chemical engineering, molecular and materials science, chemistry, and biophysics by providing critical tools in computational and data science.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.

分子科学中的计算研究越来越多地涉及电子结构理论，分子动力学/蒙特卡罗中的高级采样算法，以及使用日益高端和复杂的软硬件资源的数据科学和机器学习。缺乏精心策划的培训材料和实践培训机会严重阻碍了下一代计算分子科学网络基础设施(CI)用户的进步。该项目将建立一个研究所，重点服务于从事计算分子科学和工程(CMSE)社区的高级网络培训需求。为此，该项目将把分子科学和工程专家聚集在一起，通过一个核心委员会、特邀教师、顾问委员会和社区参与者来应对这一网络培训挑战。该项目将建立一个计算分子科学教育研究所，旨在为培训下一代分子模拟CI研究人员创造一个可持续的生态系统。该项目将包括高级计算工具培训的教育模块，同时加强对基本理论概念的基本理解。该项目将包括关于高级计算技术和加强早期研究人员同行网络的暑期/冬季实习班，支持更大规模培训的基于网络的内容，以及本科生和研究生课程的课程和教学材料，以支持CMSE的课程开发。该项目将通过提供计算和数据科学方面的关键工具，培养化学工程、分子和材料科学、化学和生物物理学方面的下一代专业人员。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。