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.

 

Read more about open science machine learning here

 

SPOMAN - Open Science - Gustav Wieds Vej 14 - 8000 - Aarhus - open.science@inano.au.dk