San Sebastián - Donostia, Spain
April 08-10, 2025

- SPEAKERS -

PLENARY
 
Gerbrand Ceder
Berkeley University of California
USA
 
KEYNOTE
 
Yousung Jung
Seoul National University
South Korea
Kristin Persson
Berkeley Lab
USA
 
INVITED
 
Paolo Bondavalli
European Innovation Council
Belgium
Silvana Botti
Ruhr University Bochum
Germany
Miguel Caro
Aalto University
Finland
Sanggyu Chong
EPFL
Switzerland
Maria Fernandez-Serra
Stony Brook University
USA
Janine George
CMD@BAM
Germany
 
Wide Hogenhout
European Commission
Belgium
Natalia Alexandra Konchakova
HEREON
Germany
Florian Marquardt
FAU
Germany
Elisa Molinari
Università degli Studi di Modena e Reggio Emilia
Italy
Ömer H. Omar
University of Liverpool
UK
Gian-Marco Rignanese
UCLouvain
Belgium
 
Andrey Ustyuzhanin
Constructor University
Germany
Tejs Vegge
Technical University of Denmark
Denmark
 
INVITED - LAVOISIER DISCUSSIONS
 
Sonia Conesa Boj
TU Delft
The Netherlands
Minh Tuan Dau
Université Côte d’Azur, CNRS, CRHEA
France
Simon Dubois
UCL
Belgium
José-Hugo Garcia
ICN2
Spain
Romain Gautier
IMN
France
Nicola Marzari
EPFL
Switzerland
 
Antonio Rossi
IIT
Italy
Jan-Lucas Uslu
Stanford University
USA
Chiara Zanardi
Ca´​ Foscari University of Venice
Italy
 
INVITED - Advanced Materials Program in Spain - AM@ESP
 
Jordi Arbiol
Institut Català de Nanociència i Nanotecnologia ICN2
Spain
María Carmen Asensio
Universidad de Valencia
Spain
Irene García Camacha
Universidad de Castilla - La Mancha
Spain
Maciej Haranczyk
IMDEA Materials
Spain
Luis Martín-Moreno
Instituto de Nanociencia y Materiales de Aragón
Spain
Pablo Piaggi
CIC nanoGUNE
Spain
 
PLENARY
Gerbrand Ceder (Berkeley University of California, USA)
AI and autonomous laboratories for materials synthesis
KEYNOTE
Yousung Jung (Seoul National University, South Korea)
Data-Enabled Synthesis Predictions for Molecules and Materials
Kristin Persson (Berkeley Lab, USA)
Data-Driven Materials Design and Synthesis
INVITED
Paolo Bondavalli (European Innovation Council, Belgium)
AI and advanced materials at EIC
Silvana Botti (Ruhr University Bochum, Germany)
Computational materials science with machine learning: from data to insights
Miguel Caro (Aalto University, Finland)
Predicting the atomic-scale structure of disordered materials with machine-learning potentials and experimental constraints
Sanggyu Chong (EPFL, Switzerland)
Prediction rigidities for machine learning models in material science
Maria Fernandez-Serra (Stony Brook University, USA)
ML-Density and energy optimized exchange and correlation functionals for density functional theory
Janine George (CMD@BAM, Germany)
Data-Driven Materials Design
Wide Hogenhout (European Commission, Belgium)
European digital infrastructure for advanced materials
Natalia Alexandra Konchakova (HEREON, Germany)
To Support Digital Maturity of Advanced Materials Communities
Florian Marquardt (FAU, Germany)
AI discovering Strategies for Quantum Technologies
Elisa Molinari (Università degli Studi di Modena e Reggio Emilia, Italy)  
Title to be defined
Ömer H. Omar (University of Liverpool, UK)
High-Throughput Virtual Screening of Existing Organic Chromophores for Materials Discovery
Gian-Marco Rignanese (UCLouvain, Belgium)
Response properties of inorganic materials from high-throughput density-functional perturbation theory and machine-learning
Andrey Ustyuzhanin (Constructor University, Germany)  
From Edge of Chaos to Intelligent Matter: MOF Platforms for Evolving, Brain-Inspired Computation
Tejs Vegge (Technical University of Denmark, Denmark)
Getting better materials faster with ML – a question of representation and distributed platforms
INVITED - LAVOISIER DISCUSSIONS
Sonia Conesa Boj (TU Delft , The Netherlands)
Machine Learning from the Large Hadron Collider to van der Waals Materials
Minh Tuan Dau (Université Côte d’Azur, CNRS, CRHEA, France)
Towards data engineering and model selection in predictive regression of 2D materials properties
Simon Dubois (UCL, Belgium)
Inference based model Hamiltonians balancing accuracy, interpretability and data efficiency
José-Hugo Garcia (ICN2, Spain)
Equivariant AI-based models for accurate electronic Hamiltonians
Romain Gautier (IMN, France)
Machine Learning Design of Low-Dimensional Hybrid Metal Halides with Perovskite Structure Type
Nicola Marzari (EPFL, Switzerland)
The electronic-structure genome of inorganic materials
Antonio Rossi (IIT, Italy)
AI-Driven Protocol for 2D Materials Growth: Integrating Adaptive Synthesis and Spectral Analysis
Jan-Lucas Uslu (Stanford University, USA)
Maskterial: A Foundation Model for 2D Material
Chiara Zanardi (Ca´​ Foscari University of Venice , Italy)
How artificial intelligence can help in an unusual detection of ions in sweat by graphene oxide and hexacyanoferrate modified electrodes
INVITED - Advanced Materials Program in Spain - AM@ESP
Jordi Arbiol (Institut Català de Nanociència i Nanotecnologia ICN2, Spain)
Automated Atomic Scale Data Analysis and Modelling for (Scanning) Transmission Electron Microscopy
María Carmen Asensio (Universidad de Valencia, Spain)  
Accelerating Advanced Energy Materials Discovery with AI and Modern Characterization Tools
Irene García Camacha (Universidad de Castilla - La Mancha, Spain)  
Optimizing Hydrogel Synthesis for Customized Applications: An Interactive App for Practitioners
Maciej Haranczyk (IMDEA Materials, Spain)  
From Simulation to Autonomous Laboratory Preparation: ML-Driven Discovery of Porous Materials and Their Composites
Luis Martín-Moreno (Instituto de Nanociencia y Materiales de Aragón, Spain)  
Overview of the use of AI for Material Science at INMA
Pablo Piaggi (CIC nanoGUNE, Spain)  
Understanding crystallization with atomistic machine learning and simulation
Sitemap  
© 2025 Phantoms Foundation