3 citations · 7 across the 5 of their papers we have counts for
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physics.chem-ph2025★ 1 cited
Accelerating inverse materials design using generative diffusion models with reinforcement learning
Junwu Chen, Jeff Guo, Edvin Fako +1
Diffusion models promise to accelerate material design by directly generating novel structures with desired properties, but existing approaches typically require expensive and subs…
physics.chem-ph2023★ 3 cited
Molecular Hypergraph Neural Networks
Junwu Chen, Philippe Schwaller
Graph neural networks (GNNs) have demonstrated promising performance across various chemistry-related tasks. However, conventional graphs only model the pairwise connectivity in mo…