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| INVITED |
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Maite Alducin (CFM, Spain)
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Accessing photoinduced reaction dynamics on surfaces with neural networks
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Juan Carrasquilla Alvarez (ETH Zurich, Switzerland)
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Language models for the simulation of quantum many-body systems
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Bingqing Cheng (UC Berkeley, USA)
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Predicting material properties with the help of machine learning
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Kamal Choudhary (NIST, USA)
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Exploring New Frontiers in Inverse Materials Design through Graph Neural Networks and Large Language Models
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Giulia Cisotto (University of Milan-Bicocca, Italy)
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Variational autoencoders-enabled high-fidelity reconstruction and effective anomaly detection in EEG data
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Gabor Csanyi (University of Cambridge, UK)
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A foundational atomistic model for materials
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Gianaurelio Cuniberti (TU Dresden, Germany)
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Machine Learning for Molecular Sensing
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Volker Deringer (University of Oxford, UK)
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Data-driven advances in modelling and understanding amorphous materials
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Andrea Ferrari (Cambridge Graphene Centre / University of Cambridge, UK)
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The Innovative Advanced Materials Initiative and the Innovative Advanced Materials for Europe partnership
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Kedar Hippalgaonkar (Nanyang Technological University (NTU), Singapore)
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Property directed generative design of inorganic materials
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Boris Kozinsky (Harvard University, USA)
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Multiscale machine learning: from quantum chemistry to dislocation dynamics
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Nicola Marzari (EPFL, Switzerland)
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Machine learning electrochemistry
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Kostya Novoselov (NUS, Singapore)
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Industry as the relevant driving force of scientific developments
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Wolfgang Wenzel (Karlsruhe Institute of Technology, Germany)
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Platform MaterialDigital – enabling the industrial material data space of the future
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