Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine learning in the study of phase transition of two-dimensional
  complex plasmas   Machine learning is applied to investigate the phase transition of
two-dimensional complex plasmas. The Langevin dynamics simulation is employed
to prepare particle suspensions in various thermodynamic states. Based on the
resulted particle positions in two extreme conditions, bitmap images are
synthesized and imported to a convolutional neural network (ConvNet) as
training sample. As a result, a phase diagram is obtained. This trained ConvNet
model can be directly applied to the sequence of the recorded images using
video microscopy in the experiments to study the melting.

32
The categories of this paper are: atom-ph
7
The categories of this paper are: hep-th
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con