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Machine-learning models of matter beyond interatomic potentials
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Novel high-conductivity 2D semiconductors identified in new research
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New computational analysis introduces surface coverage as a descriptor for screening semiconductor catalysts for water splitting
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“Amon”-based ML approach excels in modelling quantum properties of a wide range of systems
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MARVEL and CSCS: a partnership built for exa-scale computing in materials science
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AiiDA lab allows researchers to “focus on science rather than on setting up simulations”
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MARVEL researchers, partners present work on materials for energy at Materials Science Day
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MARVEL Sector Days give industry a chance to help shape research