1 citations · 2 across the 5 of their papers we have counts for
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A graphical user interface software for lattice QCD based on Python acceleration technology
Lin Gao
A graphical user interface (GUI) software is provided for lattice QCD simulations, aimed at streamlining the process. The current version of the software employs the Metropolis alg…
Estimation of the pseudoscalar glueball mass based on a modified Transformer
Lin Gao
A modified Transformer model is introduced for estimating the mass of pseudoscalar glueball in lattice QCD. The model takes as input a sequence of floating-point numbers and produc…
Study of the mass of pseudoscalar glueball with a deep neural network
Lin Gao
A deep neural network (DNN) is utilized to study the mass of the pseudoscalar glueball in lattice QCD based on Monte Carlo simulations. The DNN is constructed to extract the mass f…
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…
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…