1 citations · 1 across the 2 of their papers we have counts for
2 papers
hep-lat2023
A study of topological quantities of lattice QCD by a modified DCGAN frame
Lin Gao, Heping Ying, Jianbo Zhang
A modified deep convolutional generative adversarial network (M-DCGAN) frame is proposed to study the N-dimensional (ND) topological quantities in lattice QCD based on the Monte Ca…
hep-lat2023★ 1 cited
Study of topological quantities of lattice QCD with a modified Wasserstein generative adversarial network
Lin Gao, Heping Ying, Jianbo Zhang
We propose a modified Wasserstein generative adversarial network (M-WGAN) to study the distribution of the topological charge in lattice QCD based on Monte Carlo simulations. We co…