optimade-maker: Automated generation of interoperable materials APIs from static datasets

Kristjan Eimre; Matthew Evans; Bud Macaulay; Xing Wang; Jusong Yu; Nicola Marzari; Gian-Marco Rignanese; Giovanni Pizzi

doi:10.1039/d6dd00125d

January 1, 2026Digital DiscoveryOpen Access

optimade-maker: Automated generation of interoperable materials APIs from static datasets

View Full Paper

Ask AI

Bookmark

Share

Key Points

This research focuses on developing an automated system for creating interoperable APIs from static datasets in materials science.
Automated generation of APIs from existing static datasets.
Integration of diverse data sources to facilitate interoperability.
Utilization of standardized protocols for materials data exchange.
Successfully generated interoperable APIs, enhancing access to atomistic data.
Demonstrated reduced time for data integration tasks, improving workflow efficiency.
Facilitated user access to diverse materials datasets through streamlined API interfaces.

Ask about this paper

Answers are grounded in this paper and cite their sources.

Implication

Automated tool generates interoperable APIs for materials data, suggesting improved access and usability.

Abstract

Atomistic structural data are central to materials science, condensed matter physics, and chemistry, and are increasingly digitised across diverse repositories and databases. Interoperable access to these heterogeneous data sources enables...

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Eimre et al. (2026) studied this question.

synapsesocial.com/papers/6a095ba67880e6d24efe1888 https://doi.org/10.1039/d6dd00125d

View Full Paper

Ask AI

Bookmark

Share

optimade-maker: Automated generation of interoperable materials APIs from static datasets

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

optimade-maker: Automated generation of interoperable materials APIs from static datasets

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

Keep reading

Keep reading