期刊论文

英文

中国物理C

1674-1137

2023

47

3

034101

10.1088/1674-1137/aca5f5

Supported by the National Natural Science Foundation of China (12275102) and the National Key Research and Development Program of China (2022YFA1604900)

本校为第一机构

Exploration of the QCD phase diagram and critical point is one of the main goals in current relativistic heavy-ion collisions. The QCD critical point is expected to belong to a three-dimensional (3D) Ising universality class. Machine learning techniques are found to be powerful in distinguishing different phases of matter and provide a new way to study the phase diagram. We investigate phase transitions in the 3D cubic Ising model using supervised learning methods. It is found that a 3D convolutional neural network can be trained to effectively predict physical quantities in different spin con...

Exploration of the QCD phase diagram and critical point is one of the main goals in current relativistic heavy...展开更多 Exploration of the QCD phase diagram and critical point is one of the main goals in current relativistic heavy-ion collisions.The QCD critical point is expected to belong to a three-dimensional(3D)Ising universality class.Machine learning techniques are found to be powerful in distinguishing different phases of matter and provide a new way to study the phase diagram.We investigate phase transitions in the 3D cubic Ising mode...