1 citations · 1 across the 2 of their papers we have counts for
2 papers
nucl-th2024
Deep learning for exploring hadron-hadron interactions
Lingxiao Wang
In this proceeding, we introduce deep learning technologies for studying hadron-hadron interactions. To extract parameterized hadron interaction potentials from collision experimen…
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…