Markup Tools and Workflow

A digital object is composed of Data, Metadata, Protocols & Operations, and Persistent Identifiers.

Facilitating the Adoption of the FAIR Digital Object Framework in Material Science

With increasing use of data-driven methodologies, concerns around data discovery, data access, and data interoperability have come to the forefront. Communities

Developing a Materials Innovation Infrastructure

Develop a materials innovation infrastructure for the design and discovery of inorganic materials to reduce the time and cost for deploying new materials into

Automation for Atomistic Simulation

As part of NIST's response to the Materials Genome Initiative (MGI), this project addresses the need for automation for the assembly and distribution of

Facilitating the Development of Modular Data Models in Materials Science

The Materials Data Curation System has the potential to accelerate interoperable data exchange within materials science and engineering. This platform is

NIST Materials-focused Empirical Potentials Repositories and Efforts

Because classical empirical potentials/force-fields are widely used to model material behavior via Molecular Dynamics or Monte Carlo simulations, NIST