Bridging eResearch Infrastructure and Experimental Materials Science Process in the Quantum Data Hub

TL;DR

This paper presents the Quantum Data Hub, a community-accessible infrastructure that integrates AI, robotics, and data platforms to democratize experimental materials science, especially for quantum materials research.

Contribution

Introduction of the Quantum Data Hub, a novel infrastructure that enhances accessibility, collaboration, and integration in experimental materials science research.

Findings

QDH adheres to FAIR and UNIT principles.

Facilitates collaboration and extensibility in quantum materials research.

Integrates with the National Data Platform for broader data sharing.

Abstract

Experimental materials science is experiencing significant growth due to automated experimentation and AI techniques. Integrated autonomous platforms are emerging, combining generative models, robotics, simulations, and automated systems for material synthesis. However, two major challenges remain: democratizing access to these technologies and creating accessible infrastructure for under-resourced scientists. This paper introduces the Quantum Data Hub (QDH), a community-accessible research infrastructure aimed at researchers working with quantum materials. QDH integrates with the National Data Platform, adhering to FAIR principles while proposing additional UNIT principles for usability, navigability, interpretability, and timeliness. The QDH facilitates collaboration and extensibility, allowing seamless integration of new researchers, instruments, and data into the system.