Barcelona, Spain
July 02-04, 2024

- PROGRAM -

Wed 03 Thu 04
Chairperson: Ricardo Díez Muiño
09:00-09:20 INVITED Language models for the simulation of quantum many-body systems Juan Carrasquilla Alvarez,
ETH Zurich, Switzerland
09:20-09:35 Machine learning guided discovery of spin-resolved topological insulators Alexander Tyner,
NORDITA, Sweden
09:35-09:50 Evolutionary Recipe: Designing Single Molecule Magnets for Spintronics Zahra Khatibi,
Trinity College Dublin , Ireland
09:50-10:05 Deep Learning Electronic Fingerprints for Mapping Flat-Band Materials in 2D and 3D Databases Artem Mishchenko,
The University of Manchester, UK
10:05-10:20 Modeling heat transport in amorphous Ge2Sb2Te5 with a deep neural network interatomic potential Luiz Felipe Pereira,
Universidade Federal de Pernambuco, Brazil
10:20-10:40 INVITED Data-driven advances in modelling and understanding amorphous materials Volker Deringer,
University of Oxford, UK
10:40-11:15 Coffee Break / Poster Session / Exhibition
Chairperson: Juan Carrasquilla Alvarez
11:15-11:45 KEYNOTE Higher-Order Pattern Recognition for Materials Informatics using Explainable Artificial Intelligence Amanda Barnard,
Australian National University, Australia
11:45-12:05 INVITED Property directed generative design of inorganic materials Kedar Hippalgaonkar,
Nanyang Technological University (NTU), Singapore
12:05-12:25 INVITED Accessing photoinduced reaction dynamics on surfaces with neural networks Maite Alducin,
CFM, Spain
12:25-12:45 INVITED Exploring New Frontiers in Inverse Materials Design through Graph Neural Networks and Large Language Models Kamal Choudhary,
NIST, USA
12:45-14:15 Lunch
Chairperson: Stephan Roche / Cormac Toher
14:15-14:30 Predicting the synthesizability and properties of disordered materials by combining first-principles calculations with machine-learning Cormac Toher,
The University of Texas at Dallas, USA
14:30-14:45 An X-ray spectra simulations workflow based on machine learning: applications to Li-ion battery materials Michael Alejandro Hernandez Bertran,
(1) FIM, University of Modena and Reggio Emilia, (2) Istituto Nanoscienze, Consiglio Nazionale delle Ricerche CNR, Italy
14:45-15:00 AI-guided screening of van der Waals materials with high optical anisotropy Ivan Kruglov,
Emerging Technologies Research Center, XPANCEO, United Arab Emirates
15:00-15:15 Performance Assessment of Universal Machine Learning Interatomic Potentials: Challenges and Directions for Materials´ Surfaces Gabriel Schleder,
Brazilian Nanotechnology National Laboratory (LNNano/CNPEM), Brazil
15:15-15:30 Quest for outperforming cathode materials for Sodium-ion batteries Martin Hoffmann Petersen,
Technical University of Denmark, Denmark
15:30 Closing & AI4AM2025 announcement
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