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  • Created 23 Aug 2013

About the Group

The goal of the Materials Genome Initiative (MGI) is to create a national infrastructure for materials data sharing and analysis that will lead to a shortening of both the time and cost needed to develop and bring new materials to market. An important aspect of this vision is a new R&D paradigm in which reliable computational modeling, simulation, and analysis will decrease the reliance on time-consuming, expensive, physical experimentation. The role of the National Institute of Standards and Technology (NIST) is to create the infrastructure for the effort through the development of standards and tools for the representation and interoperability of materials data and modeling systems at multiple length and time scales that will enable reliable computer modeling and simulation for materials discovery and optimization.

A materials genome effort necessarily starts with a description of a material at a very basic quantum or molecular level, and then moves upward in both length and time scale to the continuum scale represented by structural components. The Computational Soft Materials Working Group (COMSOFT) in the Materials Measurement Lab (MML) at NIST is working to create a Materials Genome for Polymers and Polymer Composite Materials starting at the molecular level by leveraging a combination of data repositories and computational coarse-graining techniques. On this site, we will make certain computational tools that are part of our effort available for wide access and use to support that effort. We also invite others with similar toolsets for either Polymers or Polymer Composites to join our group and form external partnerships to support the MGI effort, which is national in scope.

Further elements of the NIST MGI Program are described online at:

1) www.nist.gov/mgi 2) http://www.nist.gov/mml/msed/complex_fluids/advanced-composites-mgi.cfm


nanoHUB.org, a resource for nanoscience and nanotechnology, is supported by the National Science Foundation and other funding agencies. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.