Meta-LegNet learns transferable local adsorption environments via equivariant graph learning and meta-learning to predict sites and energies on catalyst surfaces without exhaustive enumeration.
2dmatpedia, an open computational database of two-dimensional materials from top-down and bottom-up approaches.Scientific data, 6(1):86, 2019
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.mtrl-sci 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Meta-LegNet: A Transferable and Interpretable Framework for Surface Adsorption Prediction via Self-Defined Adsorption-Environment Learning
Meta-LegNet learns transferable local adsorption environments via equivariant graph learning and meta-learning to predict sites and energies on catalyst surfaces without exhaustive enumeration.