27 citations · 27 across the 2 of their papers we have counts for
2 papers
cond-mat.dis-nn2023
Unsupervised machine learning for identifying phase transition using two-times clustering
Nan Wu, Zhuohan Li, Wanzhou Zhang
In recent years, developing unsupervised machine learning for identifying phase transition is a research direction. In this paper, we introduce a two-times clustering method that c…
astro-ph.GA2022★ 27 cited
The stellar parameters and elemental abundances from low-resolution spectra I: 1.2 million giants from LAMOST DR8
Zhuohan Li, Gang Zhao, Yuqin Chen +2
As a typical data-driven method, deep learning becomes a natural choice for analysing astronomical data nowadays. In this study, we built a deep convolutional neural network to est…