Madrid, Spain
May 19-21, 2026

- SPEAKERS -

PLENARY
 
Michele Parrinello
IIT
Italy
 
KEYNOTE
 
Carla P. Gomes
Cornell University
USA
Aron Walsh
Imperial College London
UK
 
INVITED
 
Piero Altoe
NVIDIA
Italy
Elmar Bonaccurso
Airbus
France
Keith Butler
University College London
UK
Maria K. Chan
Argonne National Laboratory
USA
Jacqueline Cole
University of Cambridge
UK
Gabor Csanyi
University of Cambridge
UK
 
Payel Das
IBM Research
USA
Tim Erdmann
IBM Research
USA
Yousung Jung
Seoul National University
South Korea
Miguel Marques
Ruhr Universitat Bochum
Germany
Reinhard Maurer
University of Warwick
UK
Roman Orus
Multiverse Computing & DIPC
Spain
 
Rampi Ramprasad
Georgia Tech
USA
Trevor David Rhone
Rensselaer Polytechnic Institute
USA
Milica Todorovic
University of Turku
Finland
Tejs Vegge
Technical University of Denmark
Denmark
 
PLENARY
Michele Parrinello (IIT, Italy)
The Material Science of Catalysis
KEYNOTE
Aron Walsh (Imperial College London, UK)  
Inverse Materials Design
INVITED
Piero Altoe (NVIDIA, Italy)
Accelerating the Discovery Loop: Production-Ready Tools for GPU-Powered Materials Science
Keith Butler (University College London, UK)
Learning the language of crystal chemistry: How methods from natural language can help discover new materials
Gabor Csanyi (University of Cambridge, UK)  
Machine learned force fields: status and challenges in 2026
Reinhard Maurer (University of Warwick, UK)
Machine Learning Surrogate Models of Electronic Structure
Rampi Ramprasad (Georgia Tech, USA)
AI-assisted design of functional polymers for a sustainable world
Trevor David Rhone (Rensselaer Polytechnic Institute, USA)
Accelerating the discovery of van der Waals quantum materials using AI
Milica Todorovic (University of Turku, Finland)  
Advances in active learning for materials optimisation
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