Materials Cloud is built to enable the seamless sharing and dissemination of resources in computational materials science, offering educational, research, and archiving tools; simulation software and services; and curated and raw data. These underpin published results and empower data-based discovery, compliant with data management plans and the FAIR principles.

In the Materials Cloud you can browse, explore, download, or deposit raw and curated data (in the Discover, Explore, and Archive sections); you can access cloud or redeployable simulation services (from AiiDAlab turnkey simulations to the Quantum Mobile virtual machine, the AiiDA registry of plugins and workflows, and the OSSCAR notebooks, in the Work section), and you can use all our educational material, tutorials and lectures (in the Learn section).

The Materials Cloud allows you to share your scientific results to make them:

• Comprehensive: Share the entire workflows and provenance graphs of your calculations, and not just individual input and output files.
• Downloadable: Download individual files or entire databases at the click of a button.
• Browsable: Browse and query calculations directly from a web browser.
• Repurposable: Download and import any database and start your calculations from where the original authors left off.

Materials Cloud is powered by AiiDA, an open-source Python infrastructure to manage and persist the ever-growing amount and complexity of workflows and data in computational science.

History and outlook

The vision for the project nucleated in 2010, with the FET MARVEL Flagship Proposal, and took shape in 2013, with the SNSF MARVEL NCCR, and in 2015, with the H2020 MaX Centre of Excellence.

Today, Materials Cloud is supported by a consortium of partners, including a Go-FAIR implementation network, is a recommended repository of the Swiss National Science Foundation, European Commission through Open Research Europe and of Nature Scientific Data, and remains open to further partnerships.