Projects
MetaMine
Building a knowledge graph framework for metamaterials
PI: Chiara Daraio (Division of Engineering and Applied Science)
SASE: Anya Wallace, Scholar
The field of materials engineering has entered a new era of design and fabrication, in which physics-based modeling and machine learning techniques enable researchers to investigate new design spaces and develop materials with unprecedented mechanical properties. However, in the realm of polymer nanocomposites and structured materials, the data required for this design approach is not readily accessible in an annotated or reusable format.
In order to provide this missing functionality, the Schmidt academy worked with the Daraio lab, alongside a team of investigators from four other universities (Duke, Northwestern, RPI, and University of Vermont), to develop Materialsmine, an open-source, web-based database dedicated to providing resources for structured materials (metamaterials) and nano-composite materials. The Materialsmine site now contains a set of centralized data on polymer nanocomposites, a schema and ontology for additional curation, and visualization and analysis tools to enable informed materials design and discovery. The project has involved a major re-architecture and extension of the Materialsmine codebase, with a focus on migrating from Angular to Vue, modernizing the user interfaces, and improving server performance. This restructuring has ultimately led to a much smoother user experience and greater data accessibility, paving the way for accelerated materials research.
Modal analysis for a meta-atom in a periodic material used to create band gaps at much lower frequencies than standard materials can achieve.
A 3D metamaterial created by the Wave Function Collapse algorithm. By manipulating the frequency of appearance of each building block, the material properties can be controlled
An automatic generator of material microstructures using a simulated “growth” program.