Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Solving Many-Electron Schr\"odinger Equation Using Deep Neural Networks   We introduce a new family of trial wave-functions based on deep neural
networks to solve the many-electron Schr\"odinger equation. The Pauli exclusion
principle is dealt with explicitly to ensure that the trial wave-functions are
physical. The optimal trial wave-function is obtained through variational Monte
Carlo and the computational cost scales quadratically with the number of
electrons. The algorithm does not make use of any prior knowledge such as
atomic orbitals. Yet it is able to represent accurately the ground-states of
the tested systems, including He, H2, Be, B, LiH, and a chain of 10 hydrogen
atoms. This opens up new possibilities for solving large-scale many-electron
Schr\"odinger equation.

0
The categories of this paper are: hep-ph
19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg