1 citations · 1 across the 2 of their papers we have counts for
2 papers
q-bio.MN2025
Tracking large chemical reaction networks and rare events by neural networks
Jiayu Weng, Xinyi Zhu, Jing Liu +3
Chemical reaction networks are widely used to model stochastic dynamics in chemical kinetics, systems biology and epidemiology. Solving the chemical master equation that governs th…
physics.comp-ph2025★ 1 cited
SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction
Junchi Liu, Ying Tang, Sergei Tretiak +2
Recent advances in machine learning have demonstrated an enormous utility of deep learning approaches, particularly Graph Neural Networks (GNNs) for materials science. These method…