Effect of initial-state geometric configurations on the nuclear liquid-gas phase transition

Phase Transition Study Meets Machine Learning

“…[3][4][5][6][7][8][9][10] Recently, a specific effect from initial-state 𝛼-clustering configurations [35][36][37][38][39] on the nuclear liquid-gas phase transition was also discussed. [40] Since the nucleus is an uncontrollable system, its liquidgas phase transition is realized by tracing the effect of the spinodal instability on the reaction dynamics, e.g., by measuring the properties of the intermediate mass fragments (with charge number greater than 3).…”

“…In a recent work, the averaged charge multiplicity distribution ⟨𝑀c⟩(𝑍) of the quasi-projectile (QP) fragments in the reactions of 40 Ar on 27 Al and 48 Ti at 47 MeV/nucleon has been used to study the nuclear liquidgas phase transition by the autoencoder method and a confusion scheme. [41] The QP fragments are supposed to come from the excited projectile nucleus, which can largely avoid the effect of dynamical evolution.…”