Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(37)
Published: April 8, 2024
Abstract
Triboelectric
nanogenerators
(TENG)
not
only
enable
sustainable
self‐powered
sensing
of
devices,
but
also
have
superhuman
noncontact/contact
identification
capabilities,
which
are
propelling
humanity
toward
the
intelligent
era.
However,
inherently
low
dielectric
constant
triboelectric
materials
as
well
mechanical
mismatch
between
electrodes
and
severely
limited
their
efficient
stable
output
performance.
Taking
inspiration
from
asymmetric
structure
function
human
skin,
a
novel
single‐electrode
TENG
is
developed,
whose
electrode
layer
integrated
in
Janus
architecture.
By
tuning
balance
gravity
internal
noncovalent
interactions,
gradient
dispersion
carbon
nanotubes
waterborne
polyurethane
networks
can
be
feasibly
achieved,
boost
device
performance
by
reinforcement
both
charge
trapping
capacity
transfer
layer.
As
proof‐of‐concept,
deep
learning
to
realize
evolution
perception
under
noncontact
(motion
prediction)
contact
(material
identification)
modes.
The
bionic
design
strategy
film
offer
valuable
insights
into
improving
durability
TENG.
Additionally,
proximal
prediction
tactile
functions
desirable
attempts
for
future
human‐machine
interfaces.
Advanced Functional Materials,
Journal Year:
2023,
Volume and Issue:
33(50)
Published: Aug. 2, 2023
Abstract
Charge
transfer,
a
decisive
feature
for
surface
charge
density
in
triboelectric
nanogenerators
(TENGs),
differs
quantity
and
species
at
different
contact
interfaces.
Regarded
as
the
main
electrification
mechanism,
electron
transfer
has
been
extensively
investigated
constructing
high‐performance
tribo‐materials
TENGs,
which
material
always
neglected.
Here,
it
is
demonstrated
that
crucial
mechanism
adhesive
polymers
electrification,
plays
dominant
role
boosting
TENG
performance.
Specifically,
new
strategy
utilizing
adhesion
capability,
this
study
introduces
stabilized
poly(thioctic
acid)
adhesives
to
maximize
electrification.
With
interface,
abundant
mechanoions
are
generated
through
covalent
bond
cleavage
higher
obtained
from
pairs
with
larger
interfacial
force.
Under
gentle
triggering
condition
(5
N,
1
Hz),
can
achieve
high
of
14.65
nC∙cm
−2
,
maximum
output
power
10
W∙m
.
Furthermore,
exhibits
unique
frequency‐insensitive,
pressure‐
temperature‐enhanced
characteristics.
This
provides
insight
into
TENGs
using
highlights
indispensable
polymer
Energy & Environmental Science,
Journal Year:
2023,
Volume and Issue:
16(12), P. 6003 - 6014
Published: Jan. 1, 2023
We
propose
a
novel
structural
design
strategy
for
triboelectric
nanogenerators
(TENGs).
Leveraging
the
combination
of
screw
rod
and
ratchet,
optimized
TENGs
realize
form
conversion
rectification
motion,
frequency
multiplication.
Advanced Energy Materials,
Journal Year:
2024,
Volume and Issue:
14(18)
Published: Feb. 14, 2024
Abstract
Accurate
measurement
of
complicated
multiphase
flow
is
crucial
to
the
safety
and
efficiency
petroleum
chemical
industrial
facilities.
However,
existing
detection
techniques
are
not
applicable
pipelines
in
remote
regions
including
deserts
or
deep
seas,
due
high
cost
providing
a
stable
power
supply.
Herein,
self‐powered
sensor,
composed
liquid‐driven
triboelectric
nanogenerator
(TENG)
‐based
signal
generator,
ring‐type
transmitter,
string‐type
receiver,
proposed.
Theoretical
modeling
displacement
current
between
transmitter
receiver
implies
that
received
can
accurately
reflect
wetting
state
validated
by
combined
experimental
(accuracy
above
97%)
simulation
study.
Coupling
with
quantitative
analysis
algorithm,
system
numerous
points
developed
precisely
monitor
various
parameters,
slug
frequency
(one
point),
length
(two
points),
pattern
(four
which
verified
spontaneous
high‐speed
camera
recordings
water–air
flow.
The
present
work
provides
paradigm‐shift
way
develop
self‐powered,
inexpensive,
accurate
technique
detect
at
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(37)
Published: April 8, 2024
Abstract
Triboelectric
nanogenerators
(TENG)
not
only
enable
sustainable
self‐powered
sensing
of
devices,
but
also
have
superhuman
noncontact/contact
identification
capabilities,
which
are
propelling
humanity
toward
the
intelligent
era.
However,
inherently
low
dielectric
constant
triboelectric
materials
as
well
mechanical
mismatch
between
electrodes
and
severely
limited
their
efficient
stable
output
performance.
Taking
inspiration
from
asymmetric
structure
function
human
skin,
a
novel
single‐electrode
TENG
is
developed,
whose
electrode
layer
integrated
in
Janus
architecture.
By
tuning
balance
gravity
internal
noncovalent
interactions,
gradient
dispersion
carbon
nanotubes
waterborne
polyurethane
networks
can
be
feasibly
achieved,
boost
device
performance
by
reinforcement
both
charge
trapping
capacity
transfer
layer.
As
proof‐of‐concept,
deep
learning
to
realize
evolution
perception
under
noncontact
(motion
prediction)
contact
(material
identification)
modes.
The
bionic
design
strategy
film
offer
valuable
insights
into
improving
durability
TENG.
Additionally,
proximal
prediction
tactile
functions
desirable
attempts
for
future
human‐machine
interfaces.
