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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