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

- PROGRAM -

Wed 09 Thu 10
Chairperson: Florian Marquardt (FAU, Germany)
09:00-09:20 Ömer H. Omar (University of Liverpool, UK) - CANCELLED
09:20-09:35 Machine Learning for Accelerated Discovery of Superionic Solids Artem Maevskiy,
National University of Singapore, Singapore
09:35-09:50 Predicting Crystal Structures and Ionic Conductivity in Mixed-Halide Solid Electrolytes Using Machine Learning Potentials Aurelie Champagne,
CNRS - ICMCB, France
09:50-10:10 INVITED Data-Driven Materials Design Janine George,
CMD@BAM, Germany
10:10-10:25 Orbital-free density functional theory for periodic solids: Construction of the Pauli potential Giovanni Vignale,
IFIM, Singapore
10:25-10:40 Unlocking 3D Nanoparticle Shapes from 2D HRTEM images: classification and denoising at atomic resolution Amara Hakim,
ONERA, France
10:40-11:35 Coffee Break / Poster session / Exhibition
Chairperson: Emigdio Chavez (Catalan Institute of Nanoscience and Nanotechnology, Spain)
11:35-11:55 INVITED AI discovering Strategies for Quantum Technologies Florian Marquardt,
FAU, Germany
11:55-12:15 INVITED ML-Density and energy optimized exchange and correlation functionals for density functional theory Maria Fernandez-Serra,
Stony Brook University, USA
12:15-12:35 INVITED Response properties of inorganic materials from high-throughput density-functional perturbation theory and machine-learning Gian-Marco Rignanese,
UCLouvain, Belgium
12:35-12:50 Diagonalization without Diagonalization: A Direct Optimization Approach for Solid-State Density Functional Theory Stephen Dale,
IFIM, Singapore
12:50-14:15 Lunch
Chairperson: Aurelie Champagne (CNRS - ICMCB, France)
14:15-14:30 ML-driven Thermal Sensing Using FTIR Spectroscopy Emigdio Chavez,
Catalan Institute of Nanoscience and Nanotechnology, Spain
14:30-14:45 Crystal Site Disorder Analysis with Machine-Learned Atomic Potentials and Statistical Methods Andy Paul Chen,
Nanyang Technological University, Singapore
14:45-15:00 Synergistic Integration of Bayesian Optimization and Advanced Simulation Tools for Plasmonic Performance Enhancement José Luis Montaño-Priede,
Centro de Física de Materiales, Spain
15:00-15:15 OpenSemanticLab - Linked-Data-Platform with agentic AI workflows Andreas Räder,
Fraunhofer Institute for Silicate Research ISC, Germany
15:15-15:30 Leveraging Machine Learning to Navigate Complex Design Spaces in Battery Material Development Seon-Hwa Lee,
POSCO Research Institute for Future Technology, South Korea
15:30-15:45 Li-ion battery design through microstructural optimization using generative AI Samuel John Cooper,
Imperial College London, UK
15:45-16:00 Optimizing DFT Hybrid Functionals for 2D Materials Using Genetic Algorithms María Camarasa-Gómez,
Centro de Física de Materiales CFM/MPC (CSIC-UPV/EHU), Spain
16:00 Closing & AI4AM2026 announcement
Lavoisier Discussions
Chairperson: Jose Hugo Garcia (ICN2, Spain) - TBC
09:00-09:20 INVITED Machine Learning Design of Low-Dimensional Hybrid Metal Halides with Perovskite Structure Type Romain Gautier,
IMN, France
09:20-09:40 INVITED AI-Driven Protocol for 2D Materials Growth: Integrating Adaptive Synthesis and Spectral Analysis Antonio Rossi,
IIT, Italy
09:40-10:00 INVITED Maskterial: A Foundation Model for 2D Material Flake Detection from Optical Images Jan-Lucas Uslu,
Stanford University, USA
10:00-10:15 Generative adversarial networks for inverse design of two-dimensional topological insulators Alexander Tyner,
NORDITA, Sweden
10:15-11:00 Coffee Break / Poster session / Exhibition
Chairperson: Chiara Zanardi (Ca´​ Foscari University of Venice , Italy)
11:00-11:20 INVITED Inference based model Hamiltonians balancing accuracy, interpretability and data efficiency Simon Dubois,
UCL, Belgium
11:20-11:35 Enhancing Bacterial Detection by Harnessing Graphene Transistors´ Latent Features with Deep Learning Felipe Yamada,
INESC TEC, University of Porto, Portugal
11:35-11:50 Towards the computational design of molecular olfactory receptors for digital odor detection Li Chen,
TU Dresden, Germany
11:50-12:05 New Techniques for Materials Space Exploration Ganna Gryn´ova,
University of Birmingham, UK
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