Overview of Research Projects

Intersection of Material Science and Data ScienceThe research in the aiM-NRT will explore an array of possible directions of novel, transformative research at the nexus of materials science and data science. It will be carried out by centering Ph.D. research theses of the aiM-NRT Fellows around this intersection of materials science and data science.

The overarching goal of research projects will be either discovery or design. In discovery, a project will investigate the mechanistic underpinnings for materials response, which has, to date, eluded researchers using experimental or computational approaches alone. In design, data science will be used to model potential material design space and optimize solutions to achieve novel combinations of properties.

Four example projects are listed under research and include a goal, an approach, and visual representation. These projects represent a small cross-section of possible topics, and with many more to be developed and supported each year.

The 'NanoMine' framework is being populated with curated literature data on composition, processing, structure and properties of nano composite materials to help researchers search, visualize, and compare aspects of nano composites, enabling designer performance materials via a suite of data, analytic and physical computational software tools. Shown are an array of composite structures and use of software tools to reconstruct microstructure and predict local gradient and overall physical response.