Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards Sustainable Architecture: 3D Convolutional Neural Networks for
  Computational Fluid Dynamics Simulation and Reverse DesignWorkflow   We present a general and flexible approximation model for near real-time
prediction of steady turbulent flow in a 3D domain based on residual
Convolutional Neural Networks (CNNs). This approach can provide immediate
feedback for real-time iterations at the early stage of architectural design.
This work-flow is then reversed and offers a designer a tool that generates
building volumes based on target wind flow.

14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
33
The categories of this paper are: plasm-ph
28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
4
The categories of this paper are: cond-mat
15
The categories of this paper are: nucl-ex