3 papers
cond-mat.stat-mech2025
Neural network learning of multi-scale and discrete temporal features in directed percolation
Feng Gao, Jianmin Shen, Shanshan Wang +2
Neural network methods are increasingly applied to solve phase transition problems, particularly in identifying critical points in non-equilibrium phase transitions, offering more…
cond-mat.stat-mech2025
Identifying Ising and percolation phase transitions based on KAN method
Dian Xu, Shanshan Wang, Wei Li +3
Modern machine learning, grounded in the Universal Approximation Theorem, has achieved significant success in the study of phase transitions in both equilibrium and non-equilibrium…
cond-mat.stat-mech2024
The tricritical point of tricritical directed percolation is determined based on neural network
Feng Gao, Jianmin Shen, Shanshan Wang +2
In recent years, neural networks have increasingly been employed to identify critical points of phase transitions. For the tricritical directed percolation model, its steady-state…