San Sebastián, Spain
October 19-22, 2027

- SPEAKERS -

PLENARY
 
Alain Aspect
Université Paris-Saclay
France
Markus J. Buehler
MIT
USA
Ignacio Cirac
Max Planck Institute of Quantum Optics
Germany
Claudia Draxl
Humboldt-Universität zu Berlin
Germany
Nicola Marzari
University of Cambridge
UK
 
KEYNOTE
 
Juan J. de Pablo
New York University
USA
Heather J. Kulik
MIT
USA
Alexandre Tkatchenko
University of Luxembourg
Luxembourg
 
INVITED
 
Michele Ceriotti
EPFL
Switzerland
Volker Deringer
University of Oxford
UK
Paola Gori Giorgi
Microsoft Research
The Netherlands
Kedar Hippalgaonkar
Nanyang Technological University
Singapore
Patrick Rinke
Technical University of Munich
Germany
 
INVITED PARALLEL WORKSHOPS
 
Nongnuch Artrith
Utrecht University
The Netherlands
Invited
W2
Kamal Choudhary
Johns Hopkins University
USA
Invited
W4
Ralf Drautz
Ruhr-Universität Bochum
Germany
Invited
W2
Fernanda Duarte
University of Oxford
UK
Invited
W3
Ganna Gryn'ova
University of Birmingham
UK
Invited
W2
Olexandr Isayev
Carnegie Mellon University
USA
Invited
W3
 
Eunah Kim
Cornell University
USA
Invited
W4
Shyue Ping Ong
NUS
Singapore
Invited
W1
Julija Zavadlav
Technical University of Munich
Germany
Invited
W3
 
INVITED INDUSTRIAL FORUM
 
Sandip De
BASF
Germany
Invited
Leopold Talirz
Schott AG
Germany
Invited
Claudio Zeni
Microsoft Research
UK
Invited
 
PLENARY
Markus J. Buehler (MIT, USA)  
Agent Ecologies for Superintelligent Scientific Discovery
KEYNOTE
Heather J. Kulik (MIT, USA)  
Overcoming the challenges of transition metal catalysis: reactions, generative models, and big data
Alexandre Tkatchenko (University of Luxembourg, Luxembourg)  
Navigating Atomic Worlds with AI
INVITED
Michele Ceriotti (EPFL, Switzerland)  
Unconstrained universal models for atomic-scale modeling
Volker Deringer (University of Oxford, UK)  
The amorphous state as a frontier challenge for atomistic machine learning
Paola Gori Giorgi (Microsoft Research, The Netherlands)  
Accurate and scalable exchange-correlation with deep learning
Kedar Hippalgaonkar (Nanyang Technological University, Singapore)  
Closing the experiment-theory gap using AI and automation.
INVITED - Parallel workshops
Kamal Choudhary (Johns Hopkins University, USA)  
Generative Digital Twins for Materials: From DiffractGPT and MicroscopyGPT to Closed-Loop Characterization
Shyue Ping Ong (NUS, Singapore)  
Quantifying Uncertainty in Uncertainty Quantification for Machine Learning Interatomic Potentials
Julija Zavadlav (Technical University of Munich, Germany)  
Implicit Solvent Machine Learning Potentials for Biomolecular Simulations
Sitemap  
© 2026 Phantoms Foundation