Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Brain Inspired Computing Approach for the Optimization of the Thin Film
  Thickness of Polystyrene on the Glass Substrates   Advent in machine learning is leaving a deep impact on various sectors
including the material science domain. The present paper highlights the
application of various supervised machine learning regression algorithms such
as polynomial regression, decision tree regression algorithm, random forest
algorithm, support vector regression algorithm, and artificial neural network
algorithm to determine the thin film thickness of Polystyrene on the glass
substrates. The results showed that the polynomial regression machine learning
algorithm outperforms all other machine learning models by yielding the
coefficient of determination of 0.96 approximately and mean square error of
0.04 respectively.

17
The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
19
The categories of this paper are: eess
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org