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Kernel- and graph-based machine learning potentials enable DFT-accurate property predictions of solid and liquid BeF 2 . Using PBE0-D3 improves agreement with experiments compared to PBE-D3 for crystal lattices and molten thermophysical properties.
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Santos et al. (2026) studied this question.
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