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 PLENARY |
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Markus J. Buehler (MIT, USA)
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Agent Ecologies for Superintelligent Scientific Discovery
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| KEYNOTE |
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Heather J. Kulik (MIT, USA)
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Overcoming the challenges of transition metal catalysis: reactions, generative models, and big data
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Törmä Päivi (Aalto University, Finland)
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Quantum geometry and search for new superconductors
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Alexandre Tkatchenko (University of Luxembourg, Luxembourg)
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Navigating Atomic Worlds with AI
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| INVITED - Plenary |
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Michele Ceriotti (EPFL, Switzerland)
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Unconstrained universal models for atomic-scale modeling
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Volker Deringer (University of Oxford, UK)
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The amorphous state as a frontier challenge for atomistic machine learning
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Paola Gori Giorgi (Microsoft Research, The Netherlands)
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Accurate and scalable exchange-correlation with deep learning
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Kedar Hippalgaonkar (Nanyang Technological University, Singapore)
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Closing the experiment-theory gap using AI and automation.
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Javad Shabani (New York University, USA)
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Superconducting Germanium: A CMOS-Compatible Platform for Quantum Devices
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| KEYNOTE/INVITED - Parallel workshops |
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Kamal Choudhary (Johns Hopkins University, USA)
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Generative Digital Twins for Materials: From DiffractGPT and MicroscopyGPT to Closed-Loop Characterization
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Jose Lado (Aalto University, Finland)
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Hamiltonian learning correlated quantum materials from scanning tunneling spectroscopy
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Shyue Ping Ong (NUS, Singapore)
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Quantifying Uncertainty in Uncertainty Quantification for Machine Learning Interatomic Potentials
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Julija Zavadlav (Technical University of Munich, Germany)
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Implicit Solvent Machine Learning Potentials for Biomolecular Simulations
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