Long-range ML potentials improve liquid silica but remain insufficient for experimental medium-range order in the glass, as shown by diffraction data and structural analyses.
Long -Range Machine Learning Interatomic Potentials via Reciprocal - Space Gated Attention
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Neutron and X-ray Diffraction Reveal the Limits of Long-Range Machine Learning Potentials for Medium-Range Order in Silica Glass
Long-range ML potentials improve liquid silica but remain insufficient for experimental medium-range order in the glass, as shown by diffraction data and structural analyses.