Big Data & Machine Learning

Big data and machine learning in materials science are still quite unexplored topics, yet, with huge potential in changing our current way of analysing and developing alloys and understanding materials-related phenomena. In this newsletter edition we present some projects on big data and machine learning methods which are currently pursued by groups in the institute.

The  amount  of  data  produced  by  detectors  has  increased  explosively.  Automated  tools  to  process  and analyze the data are necessary. [more]
Magnesium alloys have an outstanding position in the search for  the  next-generation  light-weight  materials. [more]








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