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Crystal structures of gold nanoclusters often misrepresent their dominant finite-temperature states, revealing a dynamic ensemble that challenges traditional characterization methods.
Nested sampling reveals how Cu(100) oxidation transitions through complex surface reconstructions and defect states, challenging traditional thermodynamic modeling approaches.
Pre-trained MLIPs for molecular crystals are here, offering immediate access to accurate and validated potentials for simulating complex material behavior.
