Materials Platform for Data Science: API
The API stands for the application programming interface, a way to get the MPDS scientific data automatically in a high-throughput manner for the machine analysis. The possible applications are high-throughput simulations, machine learning and other data-intensive techniques in materials science.
Here you will find:
issue tracker for the MPDS API
website developer.mpds.io with the documentation
kickoff Python scripts:
Login via GitHub if you'd like to use this API with the open MPDS data:
cell parameters vs. temperature and pressure diagrams(about 6k entries)
all compounds containing both Ag and K(about 250 entries)
all binary compounds of oxygen(about 6k entries)
all data generated via machine-learning(about 900k entries)
Contact us at email@example.com if you'd like to use this API with the all MPDS data.