Shape Memory Materials Database (SMMD): Finding Data Anomalies & Trends

Shape memory materials database (SMMD) provides a one-stop access to a large collection of shape memory materials (SMM) information in a single source. The collection of point data and metadata provides insight into actuation properties, structural performance, chemical data, processing records, etc. pertinent to shape memory alloys, polymers and ceramics. The data is organized in a 2D and 3D visualization platform allowing users to gain immediate access to data insights and trends with only a few button clicks. All data points have full traceability to the original source to verify findings and create a link to researchers and scientists within the community. In this presentation, an overview of the database is provided along with case studies on data patterns of high temperature shape memory alloys, superelastic Ni-rich bearing alloys and polymers (e.g., polyurethane and epoxy). Trends and anomalies are identified and their implications to material certification are discussed. In addition to data mining and visualization, the SMMD provides a path towards the Integrated Computational Materials Engineering (ICME) and machine learning. Examples of how this database can help accelerate those efforts are discussed.