Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Precise atom manipulation through deep reinforcement learning   Atomic-scale manipulation in scanning tunneling microscopy has enabled the
creation of quantum states of matter based on artificial structures and extreme
miniaturization of computational circuitry based on individual atoms. The
ability to autonomously arrange atomic structures with precision will enable
the scaling up of nanoscale fabrication and expand the range of artificial
structures hosting exotic quantum states. However, the a priori unknown
manipulation parameters, the possibility of spontaneous tip apex changes, and
the difficulty of modeling tip-atom interactions make it challenging to select
manipulation parameters that can achieve atomic precision throughout extended
operations. Here we use deep reinforcement learning (DRL) to control the
real-world atom manipulation process. Several state-of-the-art reinforcement
learning techniques are used jointly to boost data efficiency. The
reinforcement learning agent learns to manipulate Ag adatoms on Ag(111)
surfaces with optimal precision and is integrated with path planning algorithms
to complete an autonomous atomic assembly system. These results demonstrate
that state-of-the-art deep reinforcement learning can offer effective solutions
to real-world challenges in nanofabrication and powerful approaches to
increasingly complex scientific experiments at the atomic scale.

12
The categories of this paper are: nucl-th
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin
6
The categories of this paper are: astro-ph
25
The categories of this paper are: patt-sol
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
10
The categories of this paper are: q-bio
22
The categories of this paper are: chao-dyn