- 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 ecologi- cally 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. Deadline for the applications is June 19th.

Apply Now!

Organization

Scientific Board

Prof. Gianaurelio Cuniberti

Prof. Sibylle Gemming

Prof. Wolfgang Lehner

Organizing Board

Alexander Croy

Florian Pump

Claudia Müller

 
 

Speakers

Preliminary list of speakers

  • Prof. Jörg Behler (Universität Göttingen)
  • Prof. Cecilia Clementi (Rice University) - t.b.c
  • Prof. Stefano Curtarolo (Duke University) - t.b.c.
  • Prof. Christian Gamrat (CEA) - t.b.c.
  • Dr. Amber Geurts (Aalto University)
  • Prof. Nicola Marzari (EPFL)
  • Dr. Pasquale Pavone (HU Berlin and NOMAD)
  • Prof. John Parkhill (Notre Dame University) - t.b.c.
  • Dr. Daniel Urban (Fraunhofer IWM, Freiburg)

Application

The summer school targets Master students, PhD students and early-stage post-docs working on or interested in computational materials science or topics related to machine learning and data driven materials science. To apply for the school the following documents are needed

  • cover letter motivating your participation in the school
  • short CV with list of publications (if any)
  • at least one reference letter from your supervisor
  • title and abstract of scientific contribution (poster or contributed talk)

With your application you will automatically be considered for the all-inclusive travel grant. The grantees will be announced in July.

Apply now!

Venue

The summer school will take place on the main campus of TUD.