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Data Capture

Structural Metrology of Advanced Manufacturing Processes

Ongoing
Understanding material structures in advanced manufacturing is crucial because it enables precise control over material properties, leading to improved performance, efficiency, and cost-effectiveness in production processes. However, this understanding poses many challenges, such as the

Autonomous Scanning Droplet Cell

Ongoing
Corrosion impacts a broad spectrum of application areas including infrastructure, transportation, and the military. The annual price tag for corrosion mitigation and remediation is 3.4 % of the US GDP. The team is particularly interested in discovering new metallic glasses (metals without long range

Cloud of Reproducible Records

Ongoing
Cloud of Reproducible Records (CoRR) CoRR is a Cloud Infrastructure for storing, disseminating, federating and collaborating on Reproducible Record atoms. It is composed of two Python Flask REST web services (Cloud and API), a cloud storage space, a MongoDB database and a Material Design AJAX web

Materials Data Curation System

Ongoing
The NIST Materials Data Curation System (MDCS) provides a means for capturing, sharing, and transforming materials data into a structured format that is XML based amenable to transformation to other formats. The data are organized using user-selected templates encoded in XML Schema. These templates

Semi-Automatic Curation

Ongoing
Scientific literature is undeniably an important source of scientific data for research but the review and curation of data from literature is both tedious and time consuming. Investigators must sort through many articles to review and extract relevant information. For many areas of research

Materials Data Repository

Ongoing
In support of NIST's MGI goals, the NIST materials data repository provides a concrete mechanism for the interchange and re-use of research data on materials systems. The NIST repository is principally a file repository, accepting data in any format. To mitigate the opacity of binary data, and to

Facilitating the Development of Modular Data Models in Materials Science

Ongoing
Development of Data Models This project is convening experts with the goal of developing foundational data types and domain-specific data models to address common modeling, synthesis and measurement techniques. The existence of such data models will facilitate the adoption of the Materials Data