Published July 15, 2022 | Version v1

Collaborative Research: Framework: Data: HDR: Nanocomposites to Metamaterials: A Knowledge Graph Framework

  • 1. University of Vermont
  • 2. Duke University
  • 3. Northwestern University
  • 4. California Institute of Technology
  • 5. Rensselaer Polytechnic Institute

Description

This collaborative project led by 5 academic institutions entails the ongoing development of an open-source, extensible, semantic cyberinfrastructure (CI) following FAIR principles for Materials research (MaterialsMine), with specific application to polymer nanocomposites (NanoMine) and metamaterials (MetaMine), comprising a database to store semi-automated curated data with associated data validation protocols, along with a Materials Knowledge Graph (KG) for ontology-enabled exploration, discovery, and design tools and custom user dashboards.

Recent enhancements in CI include a modularized reorganization of the backend for increased speed and performance, augmented KG flexibility pairing semantic context of metadata (SPARQL query) with visual context (Vega-Lite specification), and new search and visualization interfaces for users with varying levels of technical expertise. Concurrent development in image analysis, NLP-enabled curation, digital twin creation, and implementation of design tools for discovery of processing-structure-property relationships are also highlighted.

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Final_CSSI_MaterialsMine_July2022_poster_no_Notes.pptx.pdf

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