Data Capture

Autonomous Materials Science

We use autonomous experimentation (the merger of automated synthesis, characterization, AI-driven decision-making) to elucidate the role of composition

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

Cloud of Reproducible Records

An important part of the NIST (National Institute of Science and Technology) MGI (Materials Genome Initiative) effort is to investigate infrastructure and tools

Materials Data Curation System

Semi-Automatic Curation

Materials Data Repository

The NIST Materials Data Repository is open to the research community interested in developing best practices in the management of materials data. We are

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

ASM Structural Materials Data Demonstration Project

The ASM Structural Materials Data Demonstration Project SMDDP) is a cooperative research project with the NIST Materials Measurement Laboratory (MML) that is

High-Throughput Experimental Materials Collaboratory

Materials are technology enablers. Many technologies (e.g., solar fuels, gas steam/turbines, catalysis, additive manufacturing, and corrosion mitigation) await