Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Role of Data Analysis in Uncertainty Quantification: Case Studies
  for Materials Modeling   In computational materials science, mechanical properties are typically
extracted from simulations by means of analysis routines that seek to mimic
their experimental counterparts. However, simulated data often exhibit
uncertainties that can propagate into final predictions in unexpected ways.
Thus, modelers require data analysis tools that (i) address the problems posed
by simulated data, and (ii) facilitate uncertainty quantification. In this
manuscript, we discuss three case studies in materials modeling where careful
data analysis can be leveraged to address specific instances of these issues.
As a unifying theme, we highlight the idea that attention to physical and
mathematical constraints surrounding the generation of computational data can
significantly enhance its analysis.

21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
1
The categories of this paper are: cs
7
The categories of this paper are: hep-th
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
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The categories of this paper are: eess
12
The categories of this paper are: nucl-th
18
The categories of this paper are: econ