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.
A machine -learned interatomic potential for silica and its relation to empirical models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.mtrl-sci 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.