1.9k citations · 2.8k across the 17 of their papers we have counts for
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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…
cond-mat.mtrl-sci2022★ 193 cited
Highly Efficient and Selective Extraction of Gold by Reduced Graphene Oxide
Fei Li, Jiuyi Zhu, Pengzhan Sun +8
Materials that are capable of extracting gold from complex sources, especially electronic waste (e-waste) with high efficiency are needed for gold resource sustainability and effec…