Opportunities in Experiment, Computation, Theory and AI Virtual July 2021 Workshop with Focus on Metals and Alloys

2021 年 7 月实验、计算、理论和人工智能虚拟研讨会机会，重点关注金属和合金

• 批准号: 2132475
• 负责人: Mark Weaver
• 金额: $ 10.43万
• 依托单位: University of Alabama Tuscaloosa
• 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: 2021-06-01 至 2022-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2132475&HistoricalAwards=false
• 关键词: Opportunities; Experiment; Computation; Theory; AI

NON-TECHNICAL SUMMARYThis project supports a workshop that will bring together experts from the materials science and engineering and data science communities to identify research opportunities in metals and metallic nanostructures that will address national priorities for the next decade. The workshop will: (1) summarize current research trends and recent breakthroughs and identify emerging research areas; (2) assess how research on metals and metallic nanoparticles (MMN) and condensed matter and materials theory (CMMT) contribute towards addressing current national priorities; (3) assess instrumentation and cyberinfrastructure needs; (4) identify opportunities for MMN research in the emerging digital environment; (5) identify needs and methods for workforce development; and (6) Identify strategies to enhance community engagement and collaboration with industry. The workshop will be held virtually in July of 2021 and will include 75 to 80 participants representing academic institutions, industry, and national laboratories. The workshop participants will include a diverse group of attendees representing expertise in materials science and engineering and data science.TECHNICAL SUMMARYOur modern understanding of materials science and engineering (MSE) is derived from an amalgam of fundamental knowledge from physics, chemistry, biology, mathematics, and engineering sciences that enables us to understand and control the structures, properties and performance of engineering materials. Materials research exploits this interdisciplinary framework to improve our understanding of the physical phenomena underlying materials properties and applying that knowledge to produce materials to meet societal needs, with an increasing emphasis on economic viability and sustainability. Furthermore, rapid advances in computational tools are accelerating fundamental materials discovery. This award will support the “Opportunities in Metals and Metallic Nanostructures: Experiment, Computation, Theory and Artificial Intelligence (AI) Workshop.” This workshop, which will be a partnership between the Metals and Metallic Nanostructures (MMN) and Condensed Matter and Materials Theory (CMMT) programs at the National Science Foundation, brings the experiment and theory/computation elements of the MMN community together to identify emerging research challenges and opportunities in MMN. The workshop will identify fundamental research directions that could substantially enhance the design, fabrication, and use of innovative metallic materials and systems in applications that exploit their unique properties. The workshop will address: (1) increasingly relevant roles of theory and computation, advanced synthesis methods, emerging characterization approaches, structure evolution and innovative property measurement approaches; (2) educational and workforce issues that limit the impact of research in metals and metallic nanostructures; and (3) unique roles of MMN and CMMT research in leveraging and/or meeting national priorities, including the Materials Genome Initiative and the Advanced Manufacturing Initiative, for advancing research into the future, ensuring inclusivity, and continuing global leadership in science and engineering. This virtual facilitated workshop is being planned to take place from July 19 through July 24th, 2021 and will engage approximately 75 - 80 participants, representing a broad range of educational and research institutions, industry, and will include international representation.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.

非技术总结项目支持一个工作表将汇集材料科学和数据科学的专家，以确定研究网络纳米结构，这些纳米结构将解决未来十年的出生。区域（MMN）和凝结材料理论（CMMT）评估工具和CY Berinfrastructure（4）在新兴的数字环境中确定MMN研究的机会2021年7月，将包括75至80名参与者，学术研究所和国家实验室。物理，化学，生物学，数学和工程科学的基金，使结构可实现和控制结构，材料研究利用了义务la脚，以使我们对我们对物理现象的理解，并应用这些知识并应用该知识来产生材料来满足社会需求，Empha，Empha，Empha，Empha关于经济生存能力和可持续性的SI。在国家科学基金会中，将MMN社区的挑剔和理论/计算融合在一起，以确定MMN的新兴研究挑战和机遇。独特的特性：（1）越来越多的理论和计算作用，高级合成方法，新兴的表征方法，结构演变和创新的特性测量方法限制了金属和金属纳米结构的影响；在利用和/或满足国家优先事项中，Aterials Genome Initiative和Advanced Initiative促进了未来，并在2021年7月24日开始进行该虚拟促进的讲习班。 -80名参与者代表着广泛的教育和研究机构的压抑。该奖项反映了使命，并被认为是值得使用Tounlectul优点更广泛影响的评论标准的值得支持的。