
This is the kick-off meeting for the NSF project I-AIM : Interpretable Augmented Intelligence for Multiscale Material Discovery . The ultimate goal of NSF Harnessing Data Revolution (HDR) initiative is to create Data-Intensive Research in Science and Engineering (DIRSE). The I-AIM project is part of the Phase I of this initiative. During this project, a multi-disciplinary team will develop various research activities to support the conceptualization of a potential future Institute to use novel data science methods to address fundamental scientific questions of materials engineering and manufacturing. More specifically, this project aims to combine machine learning frameworks with uncertainty quantification and geometric/topological data analysis to advance the analysis of large sets of structural data of composite materials (e.g., polymer-carbon nanotubes (CNT) composites) and alloys from the atomic scale to correlate with and predict mechanical properties. We hope the resulting data-driven approaches can help uncover underlying structural features in the materials that determine the properties and performance, and help accelerate the development of ultra-high strength and lightweight carbon-based composites.
The goal of this kickoff meeting is to provide a platform where the multidisciplinary team members, as well as several external experts can meet and share our vision for the project, as well as develop plans for this Phase I stage.
The kickoff meeting will be held on October 25 and 26. The first day will focus on the introduction of the project, presentations from external experts, and poster sessions by team members. It will be held at MBI. The second day will focus on focused team discussion, tutorial, and team building activities. It will be held at the STEAM Factory.
This project is part of the National Science Foundation's Harnessing the Data Revolution (HDR) Big Idea activity and is co-funded by the Division of Civil, Mechanical and Manufacturing Innovation. In addition to NSF support, this kickoff meeting is also co-sponsored by Mathematical Biosciences Institute and the STEAM Factory.

