Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Computationally Efficient CFD Prediction of Bubbly Flow using
  Physics-Guided Deep Learning   To realize efficient computational fluid dynamics (CFD) prediction of
two-phase flow, a multi-scale framework was proposed in this paper by applying
a physics-guided data-driven approach. Instrumental to this framework, Feature
Similarity Measurement (FSM) technique was developed for error estimation in
two-phase flow simulation using coarse-mesh CFD, to achieve a comparable
accuracy as fine-mesh simulations with fast-running feature. By defining
physics-guided parameters and variable gradients as physical features, FSM has
the capability to capture the underlying local patterns in the coarse-mesh CFD
simulation. Massive low-fidelity data and respective high-fidelity data are
used to explore the underlying information relevant to the main simulation
errors and the effects of phenomenological scaling. By learning from previous
simulation data, a surrogate model using deep feedforward neural network (DFNN)
can be developed and trained to estimate the simulation error of coarse-mesh
CFD. The research documented supports the feasibility of the physics-guided
deep learning methods for coarse mesh CFD simulations which has a potential for
the efficient industrial design.

25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
17
The categories of this paper are: q-fin
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ