DMR2D Workshop

该奖项是二维材料领域一个更大的倡议的一部分，旨在设想和实现数据科学如何有助于该学科的发展，以阐明结构/处理/属性相关性。目前，许多与技术相关的材料问题都受到缺乏数据框架的困扰。事实上，缺乏足够的框架来处理、管理和共享复杂的原始数据阻碍了这一领域的进展，最终无法实现二维材料商业技术的承诺。简而言之，材料科学家被来自许多来源的多维数据所淹没，既有实验数据，也有计算数据，大量数据没有得到充分利用，要么被重复获取，要么被完全丢弃。本次研讨会的目的是为学生和博士后提供充分的培训，以有效地建立和使用所需的框架，以实现二维材料领域的健全数据方案和存储库。本次会议是最近成立的NSF-2D数据框架（2DDF）的学生和博士后的第一次培训活动，将通过进一步的培训和PI会议进行补充，PI会议将形成一个数据平台，由PI以自下而上的方式开发。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值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 part of a larger initiative in the realm of 2 dimensional materials to envision and implement how data sciences can contribute to the development of this discipline to elucidate structure/processing/property correlations. At present, many materials problems of technological relevance suffer from lack of data frameworks. Indeed, lack of adequate frameworks to process, curate, and share complex raw data hinders progress in this field, ultimately not realizing the promise of 2 dimensional materials commercial technologies. In short, materials scientists are inundated with multi-dimensional data from many sources, both experimental and computational, and vast amounts of data are under-utilized, repeatedly acquired, or thrown out completely. purpose of this workshop is to provide students and postdocs with the adequate training to effectively build and use the needed framework towards sound data schemes and repositories in the realm of 2 dimensional materials. This meeting is the first training event for students and postdocs of the recently constituted NSF-2D Data Framework (2DDF), which will be complemented by further training, as well as PI meetings that will result in a data platform, developed by PIs in a bottom up fashion.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.