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To V or not to V
被引:0
|作者:
van Nieuwenburg, Evert
[1
]
机构:
[1] Univ Copenhagen, Niels Bohr Inst, Copenhagen, Denmark
来源:
NATURE COMPUTATIONAL SCIENCE
|
2021年
/
1卷
/
10期
关键词:
D O I:
10.1038/s43588-021-00143-7
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
Finding a parameter that can accurately identify the order-disorder phase transition, especially for complex physical systems with high-dimensional configurational space, is a challenging task. Recent work proposes a machine learning approach to effectively tackle this challenge.
引用
收藏
页码:644 / 645
页数:2
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