Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Structure prediction of two-dimensional materials based on neural
  network-driven evolutionary technique   We present a simple yet effective method for structure prediction of
two-dimensional structures. The method is based on a combination of neural
networks and evolutionary techniques. It allows finding pristine 2D structures
as well as structures grown on a substrate. Conducted tests show, that the
method is efficient and the calculations, based only on the information of
stoichiometry, can lead to stable structures. Since the algorithm is able to
address structures on a given substrate, it can be useful from the experimental
point of view.

10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
9
The categories of this paper are: nlin