An Open and Collaborative Database of Properties of Materials for High-Temperature Superconducting-Based Devices

TL;DR

This paper presents a comprehensive, open-access database of high-temperature superconductor materials, designed to support research and development by providing standardized, validated, and easily accessible data on various properties.

Contribution

It introduces the largest publicly available, ontology-driven, collaborative database for HTS materials, enabling dynamic growth and community-driven data sharing.

Findings

Provides extensive data on HTS materials and components

Supports diverse applications from modeling to magnet design

Facilitates efficient data retrieval and validation

Abstract

The successful integration of high-temperature superconductors (HTS) into modern technologies requires consistent, accessible, and comprehensive material data, a need that is currently unmet due to the fragmented and incomplete nature of existing resources. This paper introduces a new collaborative, open-access database specifically designed to address this gap by providing standardized data on HTS materials and crucial auxiliary components for HTS applications. The database encompasses extensive data on structural, cryogenic, electrical, magnetic, and superconducting materials, supporting diverse requirements from HTS modelling to magnet design. Developed through collaborative efforts and organized using an ontology-driven data model, this platform is dynamically adaptable, ensuring that it can grow as new materials and data emerge. Key features include user-driven contributions, peer-reviewed data validation, and advanced filtering capabilities for efficient data retrieval. This innovative database, to the knowledge of the authors, being the largest publicly available for material properties of HTS technologies is positioned as a valuable tool for the HTS community, promoting more efficient research and development processes, accelerating the practical application of HTS, and fostering a collaborative approach to knowledge sharing within the field. The database is available at https://sc.hi-scale.grisenergia.pt/app.