Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Latent Space Subdivision: Stable and Controllable Time Predictions for
  Fluid Flow   We propose an end-to-end trained neural networkarchitecture to robustly
predict the complex dynamics of fluid flows with high temporal stability. We
focus on single-phase smoke simulations in 2D and 3D based on the
incompressible Navier-Stokes (NS) equations, which are relevant for a wide
range of practical problems. To achieve stable predictions for long-term flow
sequences, a convolutional neural network (CNN) is trained for spatial
compression in combination with a temporal prediction network that consists of
stacked Long Short-Term Memory (LSTM) layers. Our core contribution is a novel
latent space subdivision (LSS) to separate the respective input quantities into
individual parts of the encoded latent space domain. This allows to
distinctively alter the encoded quantities without interfering with the
remaining latent space values and hence maximizes external control. By
selectively overwriting parts of the predicted latent space points, our
proposed method is capable to robustly predict long-term sequences of complex
physics problems. In addition, we highlight the benefits of a recurrent
training on the latent space creation, which is performed by the spatial
compression network.

4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
3
The categories of this paper are: physics
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int
28
The categories of this paper are: alg-geom
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th