Abstract
Reliable material property data is crucial for trustworthy simulations throughout different areas of engineering.Special care must be taken when materials at extreme conditions are under study. Superconductors and devices assembled from superconductors and other materials, like superconducting magnets, are often operated at such extreme conditions: at low temperatures under high magnetic fields and stresses.Typically, some library or database is used for getting the data. We have started to develop a database for storing all kind of material property data online called Open Material Property Library With Native Simulation Tool Integrations -- MASTO. Data can also depend on other data and it can be versioned to guarantee permanent access. Guiding idea in MASTO is to build easy-to-use integration for various programming languages, modelling frameworks and simulation software. Currently, a full-fledged integration is built for Matlab to allow users to fetch and use data with one-liners.In this paper we briefly review some of the material property databases commonly used in superconductor modelling, present a case study showing how selection of the material property data can influence the simulation results, and introduce the principal ideas behind MASTO.This work serves as the reference document for citing MASTO when it is used in simulations.
| Original language | English |
|---|---|
| Journal | IEEE Transactions on Applied Superconductivity |
| DOIs | |
| Publication status | Published - 2018 |
| Publication type | A1 Journal article-refereed |
Keywords
- Data models
- Databases
- experimental data
- Libraries
- Material properties
- material property database
- NIST
- numerical modelling
- simulations
- Superconducting magnets
- Temperature
Publication forum classification
- Publication forum level 1
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Electrical and Electronic Engineering