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