most citedMulti-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2022★ 3 cited

Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction

Chen Liang, Bowen Wang, Shaogang Hao +3

Graph neural networks (GNNs) have drawn more and more attention from material scientists and demonstrated a high capacity to establish connections between the structure and propert…