IDEAS:MD3 is designed to promote and conduct research, development, and testing in materials data science and informatics that will lead to new and improved methods to accelerate materials design, development, and deployment (MD3) and to disseminate information and knowledge regarding these capabilities through research projects, conferences, workshops and publications. Emphasis is placed on workforce development in materials data science and informatics, and integration within the materials innovation ecosystem.
Accelerated Materials Discovery
Projects related to preliminary data and design of materials accelerated via data informatics. Click the link to see an overview of each project.
Data-Driven Discovery of Polymeric Material for 3D Printing
Architects:
- H. Jerry Qi, GWW School of Mechanical Engineering, School of Computational Science and Engineering
- Rampi Ramprasad, School of Material Science and Engineering
High-throughput Computational Catalyst Screening
Architects:
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Andrew J. Medford, School of Chemical & Biomolecular Engineering
Materials Informatics & Machine Learning
Architects:
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Rampi Ramprasad, School of Material Science and Engineering
Accelerated Materials Development & Deployment
Projects related to real-world deployment of specialized materials accelerated via data informatics. Click the link to see an overview of each project.
Establishing Processing-Structure-Properties (PSP) Linkages Using Tensor Analysis
Architects:
- Richard W. Neu, GWW School of Mechanical Engineering, School of Materials Science and Engineering
- Kamran Paynabar, School of Industrial and Systems Engineering
Expert-Guided MD3 Systems
Architects:
- J. C. Lu, Stewart School of Industrial and Systems Engineering
- Elsa Reichmanis, School of Chemical & Biomolecular Engineering
- Martha Grover, School of Chemical & Biomolecular Engineering
Sequential Experimental Design
Architects:
- J. C. Lu, Stewart School of Industrial and Systems Engineering
- Martha Grover, School of Chemical & Biomolecular Engineering
- Dennis Hess, School of Chemical & Biomolecular Engineering
Multi-Physics Multi-Scale Model to Predict Corrosion Behavior of Dissimilar Material Joints
Architects:
- Preet M. Singh, School of Materials Science and Engineering
Autonomous Explorations in Materials Innovations
Architects:
- Surya R. Kalidindi, GWW School of Mechanical Engineering, School of Computational Science and Engineering
- Ali Khosravani, GWW School of Mechanical Engineering
Overview of Project
ELA: Experiments and Laboratory Automation Platform
Architects:
- Surya R. Kalidindi, GWW School of Mechanical Engineering, School of Computational Science and Engineering
- Ali Khosravani, GWW School of Mechanical Engineering
Overview of Project
High-Throughput Rapid Screening of Materials Design Space
Projects related to testing life-cycle resiliency homogeneous production of specialized materials accelerated via data informatics. Click the link to see an overview of each project.
Adaptive Catalyst Testing and Optimization
Architects:
- Andrew J. Medford, School of Chemical & Biomolecular Engineering
Autonomous Functionalization of Natural Fibers for Advanced Materials
Architects:
- Carson Meredith, School of Chemical & Biomolecular Engineering
Coupled Machine Learning and High Throughput Development of Polymer Blends
Architects:
- Carson Meredith, School of Chemical & Biomolecular Engineering
- Elsa Reichmanis, School of Chemical & Biomolecular Engineering
- Martha Grover, School of Chemical & Biomolecular Engineering
High Throughput Electrochemical Tests for General and Localized Corrosion
Architects:
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Preet M. Singh, School of Materials Science and Engineering
High-Throughput Experimental Assays to Assess Creep Properties
Architects:
- Richard W. Neu, GWW School of Mechanical Engineering, School of Materials Science and Engineering
- Surya R. Kalidindi, GWW School of Mechanical Engineering, School of Computational Science and Engineering
High-Throughput Experimental Assays for High Cycle Fatigue
Architects:
- Richard W. Neu, GWW School of Mechanical Engineering, School of Materials Science and Engineering
Overview of Project
High-Throughput Melt-Based Polymer Screening
Architects:
- Carson Meredith, School of Chemical & Biomolecular Engineering
High Throughput Experimental Assays for Structural Materials
Architects:
- Surya R. Kalidindi, GWW School of Mechanical Engineering, School of Computational Science and Engineering
- Rick Neu, GWW School of Mechanical Engineering
Overview of Project