Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Prediction magnetocrystalline anisotripy Fe-Rh thin films via machine
  leaning   Least absolute shrinkage and selection operator (Lasso) was originally
formulated for least squares models and this simple case reveals a substantial
amount about the behavior of the estimator. It also shows that the coefficient
estimates need not be unique if covariates are collinear. Using this Lasso
technique, we analyze a magnetocrystalline anisotropy energy which is a
long-standing issue in transition-metal thin films, expectially for Fe-Rh thin
film systems on a MgO substrate. Our LASSO regression took advantage of the
data obtained from first principles calculations for single slabs with seven
atomic-layers of binary Fe-Rh films on MgO(001). In the case of Fe-Rh thin
films, we have successfully found a linear behavior between the MCA energy and
the anisotropy of orbital moments.

9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
1
The categories of this paper are: cs
2
The categories of this paper are: math
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas
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The categories of this paper are: bayes-an
3
The categories of this paper are: physics