EMMC-CSA: Workshop on “Materials and molecular modelling in the 21st century: Physics-based or data-driven?”

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Date/Time
Date(s) - Monday, June 11, 2018 - Wednesday, June 13, 2018
1:00 pm - 12:45 pm

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Welcome to the 2018 eSSENCE-Multiscale Modelling Meeting
11-13 June 2018, Uppsala, Sweden

A special feature of this meeting will be the  European Materials Modelling Council-supported focussed workshop on

Materials and molecular modelling in the 21st century: Physics-based or data-driven? 

There is currently much excitement about big data and machine learning in materials and molecular modelling, and about the opportunities that these approaches may bring. But are there associated scientific risks and shortcomings? Can we come to an understanding in the community about how physics-based insight and data-driven analysis may complement each other?  Here you find the links to the webpage of the event:

Home

Program, venue, and Information for Presenters

Registration and Abstract Submission   Registration is open!  The deadline for registration and abstracts submission is 18th of May 2018.  Abstracts on the theme of multiscale modelling* in a broad sense and on the data-driven vs. physics-based models theme are equally welcome!  It is of course also perfectly fine to participate without a presentation – there will be many opportunities to participate in discussions.

*) or Coupling &Linking in the terminology of the EMMC and of the Commission’s “Review of Materials Modelling”, RoMM. 

Travelling to Uppsala and the Ångström Laboratory

Accommodation

Organisation    Prof. Kersti Hermansson (EMMC-Model development WP1) and her local committee consisting of Prof. Aatto Laaksonen, Dr. Peter Broqvist, Dr. Jolla Kullgren, Dr. Pavlin Mitev and Dr. Chao Zhang + the rest of the Teoroo group; Prof. Pietro Asinari and Dr. Luca Bergamasco (EMMC-Training for translators) and Drs. Volker Eyert and Erich Wimmer (EMMC-Software development)

Contact      Prof. Kersti Hermansson  –  go here

The meeting is supported by:

This event has received funding via the EMMC-CSA Project from the European Union’s Horizon 2020
Research and Innovation Programme under Grant Agreement No 723867

and is arranged in co-operation with:  CECAM-Sweden

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