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Phase Transition Study Meets Machine Learning

delete2023-12-01
delete49
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OA
AI
M
Ma, Yu-Gang
L
Long-Gang Pang *
王
王蕊 (Rui Wang) *
K
Kai Zhou *
DOI：10.1088/0256-307X/40/12/122101delete
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摘要

摘要

En 中文
近年来，机器学习 (ML) 技术已成为研究多体复杂系统的强大工具，并涵盖了物理学各个领域的相变。这篇迷你评论对应用ML研究相变所取得的进展进行了简明而全面的检查，主要关注那些参与核物质研究的人。
Keyword:
QUANTUM CHROMODYNAMICS
NUCLEAR

期刊

Chinese Physics Letters 封面图
Chinese Physics Letters
IF:
4.2
论文数:
9.1K
被引数:
7.7K

机构

I
istituto nazionale di fisica nucleare (infn)
学者数:
3.0W
论文数: 1.2W
被引数: 14
F
fudan university
学者数:
11.8W
论文数: 7.7W
被引数: 121
C
chinese academy of sciences
学者数:
56.7W
论文数: 45.0W
被引数: 704
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