23 citations · 168 across the 23 of their papers we have counts for
5 papers · 1 filter
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…
Identifying percolation phase transitions with unsupervised learning based on largest clusters
Dian Xu, Shanshan Wang, Weibing Deng +3
The application of machine learning in the study of phase transitions has achieved remarkable success in both equilibrium and non-equilibrium systems. It is widely recognized that…
Study of phase transition of Potts model with Domain Adversarial Neural Network
Xiangna Chen, Feiyi Liu, Shiyang Chen +5
A transfer learning method, Domain Adversarial Neural Network (DANN), is introduced to study the phase transition of two-dimensional q-state Potts model. With the DANN, we only nee…
Random matrices applications to soft spectra
Rongrong Xie, Weibing Deng, Mauricio P. Pato
It recently has been found that methods of the statistical theories of spectra can be a useful tool in the analysis of spectra far from levels of Hamiltonian systems. Several examp…
Active image restoration
Rongrong Xie, Shengfeng Deng, Weibing Deng +1
We study active restoration of noise-corrupted images generated via the Gibbs probability of an Ising ferromagnet in external magnetic field. Ferromagnetism accounts for the prior…