Nanoenergy Advances,
Journal Year:
2024,
Volume and Issue:
4(4), P. 367 - 398
Published: Dec. 23, 2024
With
the
rapid
advancement
of
Internet
Things
(IoT)
era,
demand
for
wireless
sensing
and
communication
is
increasingly
prominent.
Tens
thousands
nodes
have
presented
new
challenges
to
distributed
energy.
As
a
green
energy
harvesting
technology,
triboelectric
nanogenerator
(TENG),
with
its
outstanding
characteristics
simple
configuration,
low
cost,
high
compatibility,
demonstrates
significant
advantages
in
self-powered
systems
great
application
potential
fields
human–machine
interaction
wearable
devices
IoT
era.
More
importantly,
electric
displacement
field
modulated
electromagnetic
waves
that
TENG
triggers
opened
paradigm
communication,
making
up
disadvantages
power
supply
by
traditional
sources.
This
review
comprehensively
discusses
latest
scientific
technological
progress
technology
prompted
further
applications
various
promising
fields.
Finally,
summary
outlook
TENG-based
synergic
are
presented,
aiming
stimulate
future
innovation
accelerating
shift
fully
ACS Applied Energy Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 9, 2025
The
rapid
development
of
energy
harvesting
devices,
driven
by
the
need
for
sustainable
energy,
has
led
to
innovative
solutions
in
nanotechnology.
Triboelectric
nanogenerators
(TENGs)
stand
out
their
ability
convert
mechanical
from
various
environmental
sources
into
electrical
power.
This
review
delves
recent
advancements
TENGs,
particularly
those
focusing
on
liquid–liquid
interfaces.
Liquid–liquid
charge
exchange
(L-LCE)
an
emerging
innovation,
offer
several
advantages
over
traditional
solid-based
including
enhanced
adaptability
and
efficiency
under
variable
conditions.
triboelectric
effect
electrostatic
induction,
essential
enable
familiar
sources,
such
as
human
motion,
wind,
ocean
waves,
vibrations.
explores
transfer
mechanisms
between
immiscible
liquids,
deionized
water
transformer
oil,
electric
double
layer
(EDL)
formation
at
interface.
Factors
ion
concentration
chemical
composition
influencing
EDL
are
analyzed.
interactions
allow
higher
surface
densities
a
superior
efficiency.
makes
L-LCE
TENGs
promising
small-scale
applications
wearable
electronics
medical
devices
well
large-scale
systems.
potential
remote,
off-grid
environments
is
also
discussed,
where
power
may
not
be
viable.
covers
current
mechanisms,
applications,
future
highlighting
transformative
role
technologies.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(8), P. 2520 - 2520
Published: April 17, 2025
The
integration
of
Deep
Learning
with
sensor
technologies
has
significantly
advanced
the
field
intelligent
sensing
and
decision
making
by
enhancing
perceptual
capabilities
delivering
sophisticated
data
analysis
processing
functionalities.
This
review
provides
a
comprehensive
overview
synergy
between
sensors,
particular
focus
on
applications
triboelectric
nanogenerator
(TENG)-based
self-powered
sensors
combined
artificial
intelligence
(AI)
algorithms.
First,
evolution
is
reviewed,
highlighting
advantages,
limitations,
application
domains
several
classical
models.
Next,
innovative
in
autonomous
driving,
wearable
devices,
Industrial
Internet
Things
(IIoT)
are
discussed,
emphasizing
critical
role
neural
networks
precision
capabilities.
then
delves
into
TENG-based
introducing
their
mechanisms
based
contact
electrification
electrostatic
induction,
material
selection
strategies,
novel
structural
designs,
efficient
energy
conversion
methods.
algorithms
showcased
through
groundbreaking
motion
recognition,
smart
healthcare,
homes,
human–machine
interaction.
Finally,
future
research
directions
outlined,
including
multimodal
fusion,
edge
computing
integration,
brain-inspired
neuromorphic
computing,
to
expand
robotics,
space
exploration,
other
high-tech
fields.
offers
theoretical
technical
insights
collaborative
innovation
technologies,
paving
way
for
development
next-generation
systems.
