9 citations · 13 across the 3 of their papers we have counts for
3 papers
eess.IV2023★ 9 cited
Inverse Lithography Physics-informed Deep Neural Level Set for Mask Optimization
Xing-Yu Ma, Shaogang Hao
As the feature size of integrated circuits continues to decrease, optical proximity correction (OPC) has emerged as a crucial resolution enhancement technology for ensuring high pr…
cs.LG2023★ 1 cited
DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction
Bowen Wang, Chen Liang, Jiaze Wang +7
Attaining the equilibrium state of a catalyst-adsorbate system is key to fundamentally assessing its effective properties, such as adsorption energy. Machine learning methods with…
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…