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Using alchemical compression and machine learning to describe high-entropy alloys
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Crucial role of inter-site Hubbard interactions for the correct energetics of spinel Li-ion cathode materials
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Temperature dependence of energy band gap suggests ZrTe5 is a weak topological insulator
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Graph neural network parametrized potentials describe intermolecular interactions
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Can quantum computers be the key to more natural and efficient modelling of materials?
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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