22 citations · 28 across the 9 of their papers we have counts for
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3 papers · 1 filter
hep-lat2024★ 1 cited
Building Hadron Potentials from Lattice QCD with Deep Neural Networks
Lingxiao Wang, Takumi Doi, Tetsuo Hatsuda +1
In this study, we develop a deep learning method to learn hadronic interactions unsupervisedly from the correlation functions calculated in lattice QCD simulations. We present our…
hep-lat2024★ 22 cited
Nucleon-charmonium interactions from lattice QCD
Yan Lyu, Takumi Doi, Tetsuo Hatsuda +1
We present a realistic lattice QCD study on low-energy - and - interactions based on (2+1) flavor configurations with nearly physical pion mass MeV. The i…
hep-ph2024★ 1 cited
Order of the SU(N_f) x SU(N_f) chiral transition via the functional renormalization group
G. Fejos, T. Hatsuda
Renormalization group flows of the symmetric Ginzburg-Landau potential are calculated for a general number of flavors, . Our approach does not rely on…