Workshop: Mid-scale RI-EW: Knowledgebase of Mesoscale Modeling and Experimentation (KnoMME); Minneapolis, Minnesota; Fall 2022 or Spring 2023

这笔会议赠款将支持30名研究人员参加一个研讨会，该研讨会将暂定于2022年秋季或2023年春季在明尼阿波利斯明尼苏达大学举行，主题是中尺度建模和实验中的中等规模研究基础设施需求。工程设计正在经历一场由材料基因组倡议(MGI)引发的革命。工程师们现在不是用现有的现成材料制造东西，而是探索在设计工程部件的同时使用制造材料的方法。网络基础设施以及多尺度理论和计算材料力学框架的进展为硅基材料和部件的建模和设计提供了途径。然而，在设计坚固耐损的结构金属和产品方面，在实现MGI愿景方面存在几个差距，特别是在材料微观结构的关键中尺度：(1)获得和获得高保真实验和计算数据集的机会有限，(2)缺乏实验和建模的共同设计，(3)无法按需获得用于模拟和实验分析的验证和验证(V&amp；V；V)代码，以及(4)劳动力培训和教育推广的机会有限。这次研讨会将通过建立一个网络基础设施--中尺度建模和实验知识库(KnoMME)--吸引中尺度塑性方面的实验和计算专家，以及在算法、数据科学和大规模网络基础设施倡议方面的专门知识的数学家和计算机科学家，来解决克服这些阻碍结构材料设计重大创新的缺陷的可行性。这次研讨会是迈向中尺度力学网络基础设施KnoMME愿景的第一步，KnoMME将具有跨学科专业知识(力学、材料科学、数据科学)的领导者聚集在一起，就此类努力的设计和长期可持续性进行重点对话。这次研讨会的目的是向国家科学基金会提交一份中等规模的研究基础设施报告，目的是：(1)填补现有差距，推动中尺度建模和实验领域的发展；(2)使教育机构获得材料设计知识的机会大众化；以及(3)通过先进的数据驱动方法，为优化材料建模创造一条可持续的途径。研讨会的应用背景将是材料设计和先进制造的中尺度材料力学的基础设施需求。研讨会的预期成果包括：(1)确定KnoMME框架的最佳结构；(2)巩固V&Amp标准化战略；中尺度建模代码的V和不确定性量化(UQ)协议，(3)确定实验和相关软件和数据作为计算代码的公认基准，以及(4)制定整合计算和实验知识的方法，用于结构金属的中尺度建模。该项目由土木工程、机械和制造创新部(CMMI)的材料和结构力学(MOMS)计划和工程局(ENG)的助理主任办公室(OAD)共同资助。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 conference grant will support 30 researchers to attend a workshop that will be held at the University of Minnesota, Minneapolis, tentatively in Fall 2022 or Spring 2023 on mid-scale research infrastructure needs in mesoscale modeling and experimentation. Engineering design is undergoing a revolution sparked by the Materials Genome Initiative (MGI). Instead of making things out of existing off-the-shelf materials, engineers are now exploring ways for designing engineering components at the same time as the materials from which they are made. Advances in cyberinfrastructure and multiscale theoretical and computational materials mechanics frameworks offer pathways to in silico materials and component modeling and design. Yet, in the context of designing strong and damage-tolerant structural metals and products, there are several gaps in realizing the MGI vision, particularly at the critical mesoscale of material microstructure: (1) limited availability and access to high-fidelity experimental and computational datasets, (2) lack of co-design of experiments and modeling, (3) lack of on-demand access to verified and validated (V&V) codes for simulation and experimental analyses, and (4) limited opportunities for workforce training and educational outreach. This workshop will convene to address the feasibility of overcoming these shortcomings, which stifle major innovations in structural materials design, through the creation of a cyberinfrastructure— Knowledgebase of Mesoscale Modeling and Experimentation (KnoMME)—that engages experimental and computational experts in mesoscale plasticity, along with mathematicians and computer scientists with expertise in algorithms, data science and large-scale cyberinfrastructure initiatives.This workshop is a first step toward the vision of the mesoscale mechanics cyberinfrastructure KnoMME to bring together leaders with cross-disciplinary expertise (mechanics, materials science, data science) for a focused dialog on the design and long-term sustainability of such an effort. The intent is for this workshop to lead to a Mid-Scale Research Infrastructure submission to the NSF with aims to: (1) close existing gaps to advance the field of mesoscale modeling and experiments, (2) democratize educational access to materials-design knowledge, and (3) create a sustainable pathway for optimal materials modeling via advanced data-driven approaches. The application context of the workshop will be the infrastructural needs in mesoscale materials mechanics for material design and advanced manufacturing. The expected outcomes of the workshop include: (1) identifying an optimal structure for the KnoMME framework, (2) consolidating strategies for standardizing V&V and uncertainty quantification (UQ) protocols for mesoscale modeling codes, (3) identifying experiments and related software and data that serve as accepted benchmarks for computational codes, and (4) formulating approaches to integrate computational and experimental knowledge for mesoscale modeling of structural metals.This project is jointly funded by the Mechanics of Materials and Structures (MoMS) program in the Division of Civil, Mechanical and Manufacturing Innovation (CMMI) and the Office of the Assistant Director (OAD) in the Directorate for Engineering (ENG).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.