People have successfully applied advanced analysis techniques to ‘big data’ and have solved significant challenges in several areas of society including business, biology, and astronomy. Using these techniques has provided people with new and valuable information from the data that was not readily available by other means. However, materials science and engineering data has not yet been exploited to its full potential because of its complexity. This complexity also stands to provide rich insights if the mysteries the data hold can be unraveled.
To advance the National goals of the Materials Genome Initiative (MGI), we are soliciting innovative approaches to solve materials science and engineering problems primarily through the analysis of publicly accessible digital data. Areas of particular interest include discovery of new materials to meet an application need, or development of a new model describing processing-structure-property relationships in either a structural (load bearing), functional (electrical, optical or magnetic), or multifunctional material.
Emphasis will be on use of existing and accessible data sources, novelty of the approach, and validation of results.
Winners will be invited to present their work at a special session (reasonable expenses paid) during Materials Science & Technology 2016 in Salt Lake City, Utah.
This challenge requires only a written research report in a format suitable for peer-reviewed scientific publication be submitted. The challenge award will be contingent upon evaluation of the proposal by the review committee. The Air Force Research Laboratory intends to make multiple awards with the top award being $25K and no award less than $5K depending on creativity and completeness of the report.
To receive an award, the Solvers will not have to transfer their exclusive IP rights to the US Government. Instead, they will grant to the US Government non-exclusive license to practice their solutions. Other arrangements may be considered, if a license cannot be granted.
The US Government is soliciting advanced approaches to analysis of digital materials data that would provide new knowledge for materials science and engineering to a level where they would enable:
- Discovery of new material structures and/or compositions that provide previously unattained and useful properties that enable new industrial applications or products.
- Development of new models to link at least two elements in materials processing-structure-property relationships where those relationships are currently poorly described by physics-based models.
Note: Solvers can be individuals or teams from academia, industry, or any other area. Solvers can submit reports for solutions to either or both of the needs described in 1 & 2 above, but they should submit a separate report for each if responding to both. Reports must detail the source of the materials data, the research approaches used, and methods used to validate the findings.
We are not seeking submissions for the following areas: Research in biology for pharmaceutical, medical, or other biological or biomedical purposes.