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.
Schedule
Time | Session |
---|---|
08:00 AM 08:30 AM |
Breakfast and Meet and Greet |
08:30 AM 08:45 AM |
Vision and Welcome |
08:45 AM 09:05 AM |
Yusu Wang - Some Examples of Combining Topological Data Analysis (TDA) with Machine Learning |
09:05 AM 09:35 AM |
Steve Sun - Self-Derived Plasticity Models with Non-Euclidean Internal Variables |
09:35 AM 09:55 AM |
Wei Chen - Data-driven Discovery and Design of Engineering Alloys |
09:55 AM 10:15 AM |
Yanxun Xu - Incorporating Uncertainty Quantification in Deep Reinforcement Learning |
10:15 AM 10:35 AM |
Richard Liang - Tomography of Carbon Nanotube Sheets and Composites |
10:35 AM 10:55 AM |
Break |
10:55 AM 11:15 AM |
Hendrik Heinz - Computational Trajectories and Data for Carbon/Polymer Materials Property Predictions |
11:15 AM 11:35 AM |
Dhriti Nepal - Interphase Tailoring of Carbon Fiber with 1D and 2D Nanoparticles |
11:35 AM 11:55 AM |
Pedro Arias Monje and Narayan Shirolkar - Challenges in Carbon Fiber Analysis |
11:55 AM 12:15 PM |
Peter Liaw - High-Entropy Alloys |
12:15 PM 12:35 PM |
Gregory Odegard - US-COMP and Computational Property Prediction of CNT/Composites |
12:35 PM 02:00 PM |
Pizza Lunch at MBI |
02:00 PM 02:30 PM |
Michael Groeber and Steve Niezgoda |
02:30 PM 02:45 PM |
Breakout Sessions (Groups 1-3) - Aims: Work Plan, Data Flow from/to Collaborators |
02:45 PM 03:45 PM |
Work in Groups |
03:45 PM 04:00 PM |
Break |
04:00 PM 04:30 PM |
Report Out |
04:30 PM 05:30 PM |
Poster Session |
06:00 PM 08:00 PM |
Dinner |
Time | Session |
---|---|
09:00 AM 09:30 AM |
Breakfast |
09:30 AM 12:00 PM |
Work Plan Specific Tasks and Timelines for First 6 Months Assignment of Specific Deliverables Plan for First 1-2 Publications Potential Issues |
12:00 PM 01:30 PM |
Lunch |
01:30 PM 03:00 PM |
Steve Tutorial |
03:00 PM | Wrap Up |
Participants
Name | Affiliation | |
---|---|---|
Bahador Bahmani | Columbia University | |
Rajiv Berry | Air Force Research Laboratory | |
Cai Chen | The Ohio State University | chencai.math@gmail.com |
Wei Chen | Illinois Institute of Technology | |
Michael Groeber | The Ohio State University | groeber.9@osu.edu |
Hendrik Heinz | University of Colorado Boulder | hendrik.heinz@colorado.edu |
Krishan Kanhaiya | University of Colorado Boulder | krishan.kanhaiya@colorado.edu |
George Kim | Illinois Institute of Technology | |
Richard Liang | Florida State University | |
Peter Liaw | University of Tennessee | |
Lucas Magee | The Ohio State University | magee.113@buckeyemail.osu.edu |
Pedro Arias Monje | Georgia Institute of Technology | |
Soham Mukherjee | The Ohio State University | mukherjee.126@buckeyemail.osu.edu |
Dhriti Nepal | Air Force Research Laboratory | |
Steve Niezgoda | The Ohio State University | niezgoda.6@osu.edu |
Gregory Odegard | Michigan Technological University | gmodegar@mtu.edu |
Ruth Pachter | Air Force Research Laboratory | |
Ajit Roy | Air Force Research Laboratory | |
Narayan Shirolkar | Georgia Institute of Technology | |
Steve WaiChing Sun | Columbia University | wsun@columbia.edu |
Xiao Sun | Johns Hopkins University | sxiao12@jhu.edu |
Nikolas Vlassis | Columbia University | |
Yusu Wang | The Ohio State University | yusu@cse.ohio-state.edu |
Jordan Winetrout | University of Colorado Boulder | jordan.winetrout@colorado.edu |
Yanxun Xu | Johns Hopkins University | yanxun.xu@jhu.edu |
Jie Zhang | Illinois Institute of Technology | |
Qi Zhao | The Ohio State University | zhao.2017@buckeyemail.osu.edu |