Modernizing data infrastructure for collection, evaluation and dissemination of thermophysical property data for metal systems
Integrated computational materials engineering relies upon reliable thermophysical property data as input for materials simulation tools. Significant advances of those tools now allow researchers to rapidly model and characterize new materials. While data of uncertain quality are myriad, collection of well characterized experimental thermophysical property data of known provenance and with clear reliabilities quantified in statements of uncertainty involves a great deal of human effort and are generally not broadly shared. With a long history in dynamic data evaluation the Thermodynamics Research Center (TRC) within the National Institute of Standards and Technology (NIST) in Boulder recently expanded its focus to include metals systems. This effort is in support of the Materials Genome Initiative, a US multi-agency effort designed to create new resources, and infrastructure that support U.S. institutions in the effort to discover, manufacture, and deploy advanced materials twice as fast, at a fraction of the cost. This presentation will cover the progress of this recent database expansion where a reliable underlying data archive is used in conjunction with an algorithmically-encoded expert analysis in order to generate up-to-date data recommendations. Overall methodologies required to efficiently and effectively convert information from published data into structured well-vetted datasets, and future goals will be discussed with additional information on data base structure, and data communication. This includes an update on our continuous work on an XML standard to share these data with a broad community.
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Boris Wilthan (POC,Primary Presenter), NIST, firstname.lastname@example.org;
Erik Pfeif (Co-Author), NIST, email@example.com;
Kenneth Kroenlein (Co-Author), NIST, firstname.lastname@example.org;