  We present the Novel-Materials-Discovery (NOMAD) Artificial-Intelligence (AI)
Toolkit, a web-browser-based infrastructure for the interactive AI-based
analysis of materials-science findable, accessible, interoperable, and reusable
(FAIR) data. The AI Toolkit readily operates on the FAIR data stored in the
central server of the NOMAD Archive, the largest database of materials-science
data worldwide, as well as locally stored, users' owned data. The NOMAD Oasis,
a local, stand alone server can be also used to run the AI Toolkit. By using
Jupyter notebooks that run in a web-browser, the NOMAD data can be queried and
accessed; data mining, machine learning, and other AI techniques can be then
applied to analyse them. This infrastructure brings the concept of
reproducibility in materials science to the next level, by allowing researchers
to share not only the data contributing to their scientific publications, but
also all the developed methods and analytics tools. Besides reproducing
published results, users of the NOMAD AI toolkit can modify the Jupyter
notebooks towards their own research work.
