A Knowledge Graph-Powered Research Assistant for Polymer Science (KGWRAPS) seeks to incorporate computer-aided techniques, such as knowledge graphs (KGs), into traditional polymer science research in an attempt to accelerate the growth of the field. It has three primary functions:

1. Act as a Source of Truth (SoT) by allowing querying of relevant data,
2. Enable graph analytics by allowing analyses of polymers based on specific properties or environmental conditions, and
3. Identify knowledge gaps and make predictions about the relationships between polymer properties and experimental conditions.

• resources/ -- contains assets tangentially related to this project, including data, topic information, and literature
• publications/ -- contains publications pertaining to this project
• schema/ -- contains both the schema diagrams and the formalization of the KGWRAPS conversational model

• Anmol Saini
  Wright State University
  
• Jeffrey Ethier
  Air Force Research Laboratory
• Cogan Shimizu
  Wright State University

For more details about this project, please see the Defense Associated Graduate Student Innovators (DAGSI) Topic CfP RX24-22 and our proposal.