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

页码：644 / 645

页数：2

共 50 条

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