Contact
electrification
(CE)
and
electrostatic
induction
(EI)
are
believed
to
be
the
core
processes
in
classic
liquid-solid
triboelectric
nanogenerators
(L-S
TENGs),
including
classical
transistor-like
droplet-based
electricity
generator
(DEG)
other
forms
of
DEGs.
Recently
reported
total
current
DEGs
made
full
use
CE,
EI,
charge
transfer
(CT)
effects
realized
coupling
displacement
conducting
currents.
However,
this
method
has
only
been
revealed
special
structures,
which
have
limitations
depending
on
falling
location
droplets.
Here,
we
construct
a
press-release
DEG
(PRTC-DEG)
using
single
droplet
water
visually
verify
universality
CT
contribution
DEG.
By
simply
squeezing
then
releasing
PRTC-DEG,
charges
squirted
out
realize
separation
space
time.
The
working
mechanism
PRTC-DEG
between
also
demonstrated.
In
addition,
structural
design
proposed
study
alleviates
dependence
output
droplets
provides
new
mode
for
DEG,
makes
expand
more
scenarios.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(26)
Published: March 28, 2024
Abstract
Over
the
past
few
decades,
significant
progress
in
piezo‐/triboelectric
nanogenerators
(PTEGs)
has
led
to
development
of
cutting‐edge
wearable
technologies.
Nanofibers
with
good
designability,
controllable
morphologies,
large
specific
areas,
and
unique
physicochemical
properties
provide
a
promising
platform
for
PTEGs
various
advanced
applications.
However,
further
nanofiber‐based
is
limited
by
technical
difficulties,
ranging
from
materials
design
device
integration.
Herein,
current
developments
based
on
electrospun
nanofibers
are
systematically
reviewed.
This
review
begins
mechanisms
advantages
nanodevices,
including
high
breathability,
waterproofness,
scalability,
thermal–moisture
comfort.
In
terms
structural
design,
novel
electroactive
structure
assemblies
1D
micro/nanostructures,
2D
bionic
structures,
3D
multilayered
structures
discussed.
Subsequently,
nanofibrous
applications
such
as
energy
harvesters,
personalized
medicine,
personal
protective
equipment,
human–machine
interactions
summarized.
Nanofiber‐based
still
face
many
challenges
efficiency,
material
durability,
stability,
Finally,
research
gap
between
practical
discussed,
emerging
trends
proposed,
providing
some
ideas
intelligent
wearables.
ACS Applied Materials & Interfaces,
Journal Year:
2024,
Volume and Issue:
16(25), P. 32249 - 32258
Published: June 13, 2024
6G
communication
mainly
occurs
in
the
THz
band
(0.1–10
THz),
which
can
achieve
excellent
performance.
Self-powered
modulators
are
essential
for
achieving
better
conduction,
modulation,
and
manipulation
of
waves.
Herein,
a
self-powered
terahertz
modulator,
is
based
on
metamaterials,
liquid
crystals
(LCs),
rotary
triboelectric
nanogenerators
(R-TENGs),
proposed
to
realize
driving
different
array
elements.
The
corresponding
designs
an
integrated
design
preparation
method
dynamic
spectrum-reconfigurable
crystal
metamaterials.
In
addition,
type
cross-structure
metamaterial
box,
phase
modulation
1
GHz
achieved
at
frequencies
0.117
0.161
with
depths
13
11%,
respectively.
Because
R-TENG
multifan
blade
circular
electrodes
generate
18
peaks
electric
output
every
rotation,
it
successfully
provide
sufficient
frequency
alternating-current
energy
drive
modulator
function.
Our
findings
lay
solid
theoretical
foundation
further
building
systems
promote
development
system
LC-driving
devices
domain.
Lack
of
a
convenient
and
sustainable
power
supply
device
failure
after
material
damage
are
important
factors
limiting
the
development
traditional
wearable
sensors.
In
this
study,
self-healing
triboelectric
nanogenerator
(TENG)
was
designed
prepared
for
motion
sensing
energy
harvesting.
Hydrogen
bonds
disulfide
were
introduced
into
polyurethane
(PU)
chain
segment
to
provide
it
with
ability.
Then,
carbon
nanotubes
(CNTs)
added
PU
confer
electrical
conductivity
composite
film.
The
conductive
film
is
sandwiched
between
original
films
as
an
electrode
in
sandwich
structure,
three-layer
tightly
bonded
by
hydrogen
using
simple
hot-pressing
method.
output
performance
TENG
contact
area
4
cm2
can
reach
89.4
V
96
μW/cm2
because
effect.
still
retain
95.6%
its
being
broken
then
healed.
regard,
be
applied
harvesting
human
monitoring
motion,
which
shows
huge
application
potential
devices.
Advanced Materials Technologies,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 3, 2024
Abstract
The
development
of
the
Internet
Things
(IoT)
indicates
that
humankind
has
entered
a
new
intelligent
era
“Internet
Everything”.
Thanks
to
characteristics
low‐cost,
diverse
structure,
and
high
energy
conversion
efficiency,
self‐powered
sensing
systems,
which
are
based
on
Triboelectric
Nanogenerator
(TENG),
demonstrate
great
potential
in
field
IoT.
In
order
solve
challenges
TENG
signal
processing,
such
as
noise
nonlinear
relations,
Machine
Learning
(ML),
is
an
efficient
mature
data
processing
tool,
widely
applied
for
efficiently
large
complex
output
generated
by
system.
This
review
summarizes
analyzes
adaptation
different
algorithms
their
advantages
disadvantages
at
beginning,
provides
reference
selection
TENG.
More
importantly,
application
introduced
multiple
scenarios,
including
health
monitoring,
fault
detection,
human‐computer
interaction.
Finally,
limitations
trend
integration
ML
proposed
classification
promote
future
IoT
era.
