Molecular Data in Google Drive
University of Chicago, Argonne National Laboratory
A group in Japan needed to share a set of 221M molecular calculations, clocking in at 830GB, with collaborators at UC/ANL. This dataset represents the largest compilation of molecular calculations to date, with a broad set of machine learning opportunities ranging from drug discovery to identification of novel molecules for organic electronics. By using the Globus for Google Drive connector, they were able to easily make the data available in Google Drive via fire-and-forget transfer – they estimate this method was at least 10x faster than any other means of sharing the data.