Small,
Journal Year:
2024,
Volume and Issue:
20(34)
Published: April 2, 2024
Abstract
Developing
a
robust
artificial
intelligence
of
things
(AIoT)
system
with
self‐powered
triboelectric
sensor
for
harsh
environment
is
challenging
because
environmental
fluctuations
are
reflected
in
signals.
This
study
presents
an
environmentally
tire
monitoring
deep
learning
to
capture
driving
information
the
signals
generated
from
tire‐road
friction.
The
optimization
process
and
structure
laser‐induced
graphene
(LIG)
electrode
layer
conducted,
enabling
detect
universal
vehicles/robotic
mobility,
including
rotation
speeds
200–2000
rpm
contact
fractions
line.
Employing
hybrid
model
combining
short‐term
Fourier
transform
convolution
neural
network‐long
memory,
LIG‐based
(LTTM)
decouples
information,
such
as
traffic
lines
road
states,
varied
conditions
humidity
(10%–90%)
temperatures
(50–70
°C).
real‐time
line
state
recognition
LTTM
confirmed
on
mobile
platform
across
diverse
conditions,
fog,
dampness,
intense
sunlight,
heat
shimmer.
work
provides
AIoT
by
introducing
smart
mobility.
Advanced Functional Materials,
Journal Year:
2022,
Volume and Issue:
32(48)
Published: Aug. 7, 2022
Abstract
Laser‐induced
graphene
(LIG)
is
a
newly
emerging
3D
porous
material
produced
when
irradiating
laser
beam
on
certain
carbon
materials.
LIG
exhibits
high
porosity,
excellent
electrical
conductivity,
and
good
mechanical
flexibility.
Predesigned
patterns
can
be
directly
fabricated
diverse
materials
with
controllable
microstructure,
surface
property,
chemical
composition,
heteroatom
doping.
This
selective,
low‐cost,
chemical‐free,
maskless
patterning
technology
minimizes
the
usage
of
raw
materials,
diminishes
environmental
impact,
enables
wide
range
applications
ranging
from
academia
to
industry.
In
this
review,
recent
developments
in
are
comprehensively
summarized.
The
mechanism
formation
first
introduced
focus
laser‐material
interactions
transformations
during
irradiation.
effects
types,
fabrication
parameters,
lasing
environment
structures
properties
thoroughly
discussed.
potentials
for
advanced
including
biosensors,
physical
sensors,
supercapacitors,
batteries,
triboelectric
nanogenerators,
so
also
highlighted.
Finally,
current
challenges
future
prospects
research
Science Advances,
Journal Year:
2023,
Volume and Issue:
9(4)
Published: Jan. 27, 2023
Interruption
of
the
wound
healing
process
due
to
pathogenic
infection
remains
a
major
health
care
challenge.
The
existing
methods
for
management
require
power
sources
that
hinder
their
utilization
outside
clinical
settings.
Here,
next
generation
wearable
self-powered
dressing
is
developed,
which
can
be
activated
by
diverse
stimuli
from
patient’s
body
and
provide
on-demand
treatment
both
normal
infected
wounds.
highly
tunable
composed
thermocatalytic
bismuth
telluride
nanoplates
(Bi
2
Te
3
NPs)
functionalized
onto
carbon
fiber
fabric
electrodes
triggered
surrounding
temperature
difference
controllably
generate
hydrogen
peroxide
effectively
inhibit
bacterial
growth
at
site.
integrated
are
connected
triboelectric
nanogenerator
(TENG)
electrical
stimulation
accelerated
closure
enhancing
cellular
proliferation,
migration,
angiogenesis.
reported
holds
great
potential
in
facilitating
personalized
user-friendly
with
improved
outcomes.
Advanced Functional Materials,
Journal Year:
2022,
Volume and Issue:
32(41)
Published: Aug. 3, 2022
With
the
development
of
Internet
Things,
there
is
an
increasing
need
for
clean
energy
and
large‐scale
sensory
systems.
Triboelectric/piezoelectric
nanogenerators
(TENGs/PENGs),
have
attracted
considerable
attention
as
a
new
type
power
generation
terminal,
which
can
harvest
surrounding
convert
it
into
electrical
energy.
To
improve
output
performance
(NGs)
diversify
related
applications,
2D
materials
with
high
carrier
mobility
excellent
piezoelectric
properties
be
directly
used
or
integrated
different
types
self‐powered
sensors.
In
this
review,
authors
first
introduce
optoelectronic
materials,
followed
by
triboelectric
series
in
TENGs.
The
categories
sensors
based
on
are
then
summarized
according
to
their
structures
compositions.
We
also
discuss
detail
recent
applications
from
five
aspects.
Finally,
challenges
outlooks
research
field
featured.
Given
continuous
they
considered
significant
potential
biomedicine,
environmental
detection,
human
motion
monitoring,
harvesting,
smart
wearable
devices.
Nano-Micro Letters,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: Sept. 27, 2024
Abstract
With
the
continuous
development
of
wearable
electronics,
wireless
sensor
networks
and
other
micro-electronic
devices,
there
is
an
increasingly
urgent
need
for
miniature,
flexible
efficient
nanopower
generation
technology.
Triboelectric
nanogenerator
(TENG)
technology
can
convert
small
mechanical
energy
into
electricity,
which
expected
to
address
this
problem.
As
core
component
TENG,
choice
electrode
materials
significantly
affects
its
performance.
Traditional
metal
often
suffer
from
problems
such
as
durability,
limits
further
application
TENG.
Graphene,
a
novel
material,
shows
excellent
prospects
in
TENG
owing
unique
structure
electrical
properties.
This
review
systematically
summarizes
recent
research
progress
TENGs
based
on
graphene
electrodes.
Various
precision
processing
methods
electrodes
are
introduced,
applications
electrode-based
various
scenarios
well
enhancement
performance
discussed.
In
addition,
future
also
prospectively
discussed,
aiming
promote
advancement
TENGs.
Advanced Materials,
Journal Year:
2023,
Volume and Issue:
35(38)
Published: Feb. 26, 2023
Fabricating
electronic
devices
from
natural,
renewable
resources
is
a
common
goal
in
engineering
and
materials
science.
In
this
regard,
carbon
of
special
significance
due
to
its
biocompatibility
combined
with
electrical
conductivity
electrochemical
stability.
microelectronics,
however,
carbon's
device
application
often
inhibited
by
tedious
expensive
preparation
processes
lack
control
over
processing
material
parameters.
Laser-assisted
carbonization
emerging
as
tool
for
the
precise
selective
synthesis
functional
carbon-based
flexible
applications.
contrast
conventional
via
in-furnace
pyrolysis,
laser-carbonization
induced
photo-thermally
occurs
on
time-scale
milliseconds.
By
careful
selection
precursors
process
parameters,
properties
so-called
laser-patterned
(LP-C)
such
porosity,
surface
polarity,
groups,
degree
graphitization,
charge-carrier
structure,
etc.
can
be
tuned.
critical
review,
perspective
generated
context
general
strategies,
fundamentals
laser-induced
processing,
applications,
like
electrodes
sensors,
electrocatalysts,
energy
storage,
or
antennas.
An
attempt
made
have
equal
emphasis
aspects
that
technology
optimally
positioned
broader
microfabrication.
ACS Applied Materials & Interfaces,
Journal Year:
2023,
Volume and Issue:
15(30), P. 35788 - 35814
Published: July 20, 2023
The
maskless
and
chemical-free
conversion
patterning
of
synthetic
polymer
precursors
into
laser-induced
graphene
(LIG)
via
pyrolysis
is
a
relatively
new
but
growing
field.
Bioderived
from
lignocellulosic
materials
can
also
be
converted
to
LIG,
opening
path
sustainable
environmentally
friendly
applications.
This
review
designed
as
starting
point
for
researchers
who
are
not
familiar
with
LIG
and/or
wish
switch
bioderived
their
described,
performances
(mainly
crystallinity
sheet
resistance
the
obtained
LIG)
compared.
three
main
fields
application
reviewed:
supercapacitors
electrochemical
physical
sensors.
key
advantages
disadvantages
each
precursor
discussed
compared
those
benchmark
polymer-derived
LIG.
match,
or
even
outperform,
its
analogue
represents
viable
sometimes
better
alternative,
considering
low
cost
biodegradability.
ACS Applied Materials & Interfaces,
Journal Year:
2023,
Volume and Issue:
15(9), P. 12551 - 12559
Published: Feb. 21, 2023
Intelligent
sensors
have
attracted
substantial
attention
for
various
applications,
including
wearable
electronics,
artificial
intelligence,
healthcare
monitoring,
and
human-machine
interactions.
However,
there
still
remains
a
critical
challenge
in
developing
multifunctional
sensing
system
complex
signal
detection
analysis
practical
applications.
Here,
we
develop
machine
learning-combined
flexible
sensor
real-time
tactile
voice
recognition
through
laser-induced
graphitization.
The
intelligent
with
triboelectric
layer
can
convert
local
pressure
to
an
electrical
contact
electrification
effect
without
external
bias,
which
has
characteristic
response
behavior
when
exposed
mechanical
stimuli.
With
the
special
patterning
design,
smart
interaction
controlling
composed
of
digital
arrayed
touch
panel
is
constructed
control
electronic
devices.
Based
on
learning,
monitoring
changes
are
achieved
high
accuracy.
learning-empowered
provides
promising
platform
development
sensing,
health
detection,
interaction,
