Starts 9 May 2022
Ends 13 May 2022
Central European Time
Online -
Online
An ICTP Virtual Meeting

The event aims at providing the next generation of young researchers with a didactic platform on the latest advancements in methods and applications of AI for material discovery. Moreover, the even will bring forth a discussion on the implications of the latest advancements in data-driven methods on the different sub-areas of Materials discovery. Topics of discussion include, but are not limited to:

  • Energy materials discovery
  • High-performance materials discovery
  • Drug discovery
  • Industrial applications of machine learning and molecular modelling
  • Machine learning potentials
  • Generative models
  • Data-driven characterization
  • High-throughput screening
  • Physics-based linear and kernel methods
  • Advanced neural network methods

Speakers
A. ANELLI, Roche, Switzerland
L. BANKO, Ruhr-Universität Bochum, Germany
A. BOCHKAREV, Ruhr-Universität Bochum, Germany
S. DZEROSKY, Jozef Stefan Institute, Slovenia
F. FABER, University of Cambridge, UK
A. GLIELMO, Banca d'Italia, Italy
F. GRISONI, Eindhoven University of Technology, Netherlands
B. KOZINSKY, Harvard University, USA
A. LAIO, SISSA, Italy
N. LOPEZ, Institute of Chemical Research of Catalonia, Spain
J. MARGRAF, Fritz-Haber-Institut der MPG, Germany
F. PELLEGRINI, SISSA, Italy
M. RUPP, University of Konstanz, Germany
S. SACCANI, Aindo,  Italy
K. SCHUTT, Technische Universität Berlin, Germany
M. TODOROVIC, University of Turku, Finland
Z. ULISSI, Carnegie Mellon University, USA
R. VAN DEN BERG, Microsoft Research, USA
J. WESTERMAYR, University of Warwick, UK
R. WINTER, Bayer, USA
 

Registration: There is no registration fee.

Organizers

Stefano DE GIRONCOLI (International School for Advanced Studies), Patrick RINKE (Aalto University), Kevin ROSSI (Ecole Polytechnique Fédérale de Lausanne), Milica TODOROVIĆ (Turku University), Claudio ZENI (International School for Advanced Studies), Local Organiser: Sandro Scandolo (ICTP)

Co-sponsors