351 citations · 3.6k across the 76 of their papers we have counts for
3 papers · 2 filters
Machine Learning in Nuclear Physics
Amber Boehnlein, Markus Diefenthaler, Cristiano Fanelli +15
Advances in machine learning methods provide tools that have broad applicability in scientific research. These techniques are being applied across the diversity of nuclear physics…
Probing criticality with deep learning in relativistic heavy-ion collisions
Yige Huang, Long-Gang Pang, Xiaofeng Luo +1
Systems with different interactions could develop the same critical behaviour due to the underlying symmetry and universality. Using this principle of universality, we can embed cr…
Hydrodynamic description of meson production in high-energy heavy-ion collisions
Chi Ding, Wei-Yao Ke, Long-Gang Pang +1
The large values and the constituent-quark-number (NCQ) scaling of the elliptic flow of low- mesons imply that charm quarks, initially produced through hard processes, mig…