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nucl-th2020★ 54 cited
Nuclear liquid-gas phase transition with machine learning
Rui Wang, Yu-Gang Ma, R. Wada +4
The machine-learning techniques have shown their capability for studying phase transitions in condensed matter physics. Here, we employ the machine-learning techniques to study the…
nucl-th2009★ 17 cited
Effect of medium dependent binding energies on inferring the temperatures and freeze-out density of disassembling hot nuclear matter from cluster yields
S. Shlomo, G. Roepke, J. B. Natowitz +4
We explore the abundance of light clusters in asymmetric nuclear matter at subsaturation density. With increasing density, binding energies and wave functions are modified due to m…