Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine Learning Potential Repository   This paper introduces a machine learning potential repository that includes
Pareto optimal machine learning potentials. It also shows the systematic
development of accurate and fast machine learning potentials for a wide range
of elemental systems. As a result, many Pareto optimal machine learning
potentials are available in the repository from a website. Therefore, the
repository will help many scientists to perform accurate and fast atomistic
simulations.

31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
2
The categories of this paper are: math