Machine Learning for Material Discovery
Machine Learning in an open science setting is a place to optimize future material development through screening and prediction of material-properties. Predictions are based on known properties of materials at all length scales. In developing new materials, machine learning will optimize the selection process and allow for a more effective development process.
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