Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A wireless triboelectric nanogenerator   We demonstrate a new paradigm for the wireless harvesting of mechanical
energy via a 3D-printed triboelectric nanogenerator (TENG) which comprises a
graphene polylactic acid (gPLA) nanocomposite and Teflon. The synergistic
combination of eco-friendly PLA with graphene in our TENG exhibited an output
voltage > 2 kV with an instantaneous peak power of 70 mW, which in turn
generated a strong electric field to enable the wireless transmission of
harvested energy over a distance of 3 m. Specifically, we demonstrate wireless
and secure actuatation of smart-home applications such as smart tint windows,
temperature sensors, liquid crystal displays, and security alarms either with a
single or a specific user-defined passcode of mechanical pulses (e.g.,
Fibonacci sequence). Notably, such high electric output of a gPLA-based TENG
enabled unprecedented wireless transmission of harvested mechanical energy into
a capacitor, thus obviating the need for additional electronics or energy
sources. The scalable additive manufacturing approach for gPLA-based TENGs,
along with their high electrical output can revolutionize the present method of
harnessing the mechanical energy available in our environment.

29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
1
The categories of this paper are: cs
24
The categories of this paper are: dg-ga
37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
32
The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
16
The categories of this paper are: stat
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an