Integrative Materials Design (ImaD)
Connecting the Midwest Materials Data Ecosystem


Integrated Materials Design (IMaD) is a Spoke project of the Midwest Big Data Hub, an NSF Big Data Hub

Materials innovation is a pipeline, deriving from a deep understanding and control of material behavior and properties, leading to advanced materials design that drives economic prosperity, addresses national and regional energy needs, and bolsters national security. Improving this pipeline requires connecting efforts from a variety of independent national and regional materials design efforts to: consolidate diverse materials data expertise, simplify data access, coalesce on topics of data description and interoperability, enhance and ensure the quality of datasets, and deploy modern scalable data services to support materials researchers by leveraging and synthesizing existing tools to form a cohesive materials data infrastructure.


Connect academic and industrial data services, researchers, and efforts across the materials data ecosystem.


Provide researchers with simplified access to materials datasets to speed material discovery and transition to industrial application.


Disseminate Midwest materials data resources, articles, and videos to the public and academic community to increase awareness of materials data assets, capabilities, and services.


  • IMaD:

    Materials Data Facility

    University of Chicago Postdoc Logan Ward explains what the Materials Data Facility is, which is part of of the Midwest Big Data Spoke on Integrative Materials Design, or IMaD.

  • Access to Large Datasets

    Transforms Materials Science

    Northwestern Professor Juande Pablo and UW Madison Professor Dane Morgan discuss how access to large datasets is transforming materials science.

  • Accelerating Materials Discovery

    with Microscopes and Big Data

    Duke University Professor Catherine Brinson and William Harris of Carl Zeiss Microscopy discuss how the Materials Genome Initiative is making data from specialized microscopes available to materials researchers.

  • Challenges & Opportunities

    with Modern Materials Design

    Two research leaders in accelerated materials design sit down and discuss future challenges and opportunities for the field. They speak to how the Materials Genome Initiative methodology brought Gorilla Glass to the assembly line much faster than the average timescale for a newly discovered material—10-20 years.

  • New Videos Soon!

Software and Tools

MAST is an automated workflow manager and post-processing tool that focuses on performing diffusion and defect calculations using Density Functional Theory.
Materials Commons
Materials Commons is a platform for organizing, collaborating, publishing and sharing research data.
PRISMS-PF is a powerful, massively parallel finite element code for conducting phase field and other related simulations of microstructural evolution.
The MDF is a set of data services built specifically to support materials science researchers.
Forge is the Python library for easily querying, accessing, and using the data in the Materials Data Facility.
MDF Connect
The MDF Connect is a one-stop solution for extracting useful information from materials data and publishing it across the materials data ecosystem.
The 4CeeD Uploader and Curator are web tools used to upload, organize, and manage scientific data files and metadata.
Citrination is the premier open database and analytics platform for the world's material and chemical information.
Materials Data Curation System
The Materials Data Curation System is a flexible tool for capturing, organizing, sharing, and storing materials data along with the metadata needed to understand it.
Materials Resource Registry (MRR)
The Materials Resource Registry provides a high-level repository of all of the organizations, data sources, tools, and informational sites useful for data-driven materials science.


Materials Data Facility



Materials Resource Registry

Citrine Informatics

Computational Materials Group


Dallas R. Trinkle Group

Project Support

This work is supported by the National Science Foundation as part of the Midwest Big Data Hub under NSF Award Number: 1636950 "BD Spokes: SPOKE: MIDWEST: Collaborative: Integrative Materials Design (IMaD): Leverage, Innovate, and Disseminate".

Midwest Big Data Hub

National Science Foundation