– Deep Materials: Perspectives on data-driven materials research –
Monday 10.09.2018 – Friday 14.09.2018
DRESDEN | Germany
Innovative materials are one of the key technologies for keeping pro- ducts and industrial processes economically competitive and ecologically sustainable. Modern materials science requires a multi-discipline approach embracing chemistry, physics, engineering, as well as data science. This summer school will provide an overview of current deve- lopments in data-driven materials science – with a particular focus on Machine Learning and modern numerical approaches – and will offer a platform for discussions about future perspectives.
The summer school targets Master students, PhD students and (early-stage) Postdocs interested in or woking on topics related to machine learning and data driven materials science. For excellent students, up to 10 all-inclusive grants (travel support, accommodation, participation) will be available.