Electronically Available NIST/TRC Resource for Thermophysical Property Data of Metal Systems

Research into new metallic materials is heavily based on the adoption of Integrated Computational Materials Engineering (ICME) and advancements in materials simulation tools. This approach allows researchers to rapidly model properties needed for additive manufacturing processes, use them in support of the CALPHAD approach to computational material development or to address the challenges and the complex multiphysics in the development of theoretical and computational solutions they need to predict material properties in a wide spectrum of time and length scales. Very often parameters must be scaled to, or models relay on verification with original experimental thermophysical property data and require improved data reliability and interoperability compared to historic data from various print formats.<br/><br/>The Thermodynamics Research Center (TRC) within NIST addresses this bottleneck with a highly structured machine-readable data resource for thermophysical property data (e.g. Enthalpy, viscosity, electrical resistivity, …) of primarily unary, binary, and ternary metal systems. All data sets are reported with documented provenance, available metadata, and quantified reliabilities expressed as uncertainty. This tool is publicly accessible at http://trc.nist.gov/metals_data (DOI: 10.18434/M32153) and free of charge for noncommercial users.<br/>This talk covers the overall methodologies required to efficiently and effectively convert information from data as presented in the open literature into structured, well-vetted datasets of the NIST/TRC Data Archival System which can be then disseminated. It includes an overview of the data coverage provided and how this effort improves the quality of published information and prevents the propagation of erroneous data. It will furthermore highlight how to access the data programmatically for larger scale applications via our Application Programming Interface (RESTful API) and discuss the data format used in detail.