A Data Ecosystem to Support Machine Learning in Materials Science [article]

Ben Blaiszik, Logan Ward, Marcus Schwarting, Jonathon Gaff, Ryan Chard, Daniel Pike, Kyle Chard, Ian Foster
2019 arXiv   pre-print
Facilitating the application of machine learning to materials science problems will require enhancing the data ecosystem to enable discovery and collection of data from many sources, automated dissemination of new data across the ecosystem, and the connecting of data with materials-specific machine learning models. Here, we present two projects, the Materials Data Facility (MDF) and the Data and Learning Hub for Science (DLHub), that address these needs. We use examples to show how MDF and
more » ... capabilities can be leveraged to link data with machine learning models and how users can access those capabilities through web and programmatic interfaces.
arXiv:1904.10423v1 fatcat:gibssrxzxbaqxdjsfa4ld4gd2a