Young Researchers' Workshop on Machine Learning for Materials | (smr 3701)
Starts 9 May 2022
Ends 13 May 2022
Central European Time
ICTP
Strada Costiera, 11
I - 34151 Trieste (Italy)
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
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)