Cell Reports Physical Science,
Год журнала:
2024,
Номер
5(4), С. 101888 - 101888
Опубликована: Март 25, 2024
The
ability
of
triboelectric
nanogenerators
(TENGs)
to
sense
physical,
chemical,
and
physiological
activities
has
been
demonstrated.
data
generated
by
TENG
sensors
encompass
various
parameters,
including
time,
frequency,
intensity,
acceleration.
While
this
information
can
be
used
effectively
answer
binary
queries
based
on
signal
extracting
additional
intricate
details
requires
an
in-depth
analysis
the
collected
sensor
data.
Often,
amount
amassed
these
surpasses
capability
efficient
human
analysis,
necessitating
assistance
machine
learning
deep
approaches.
Typically,
supervised
algorithms
are
employed
for
processing,
categorization,
or
identification.
This
paper
provides
a
comprehensive
review
recent
advancements
in
highlights
challenges
address
future
research.
ACS Applied Materials & Interfaces,
Год журнала:
2023,
Номер
15(40), С. 47425 - 47433
Опубликована: Сен. 29, 2023
With
the
rapid
development
of
wearable
devices
and
integrated
systems,
protection
against
electromagnetic
waves
is
an
issue.
For
solving
problems
poor
flexibility
a
tendency
to
corrode
traditional
interference
(EMI)
shielding
materials,
two-dimensional
(2D)
nanomaterial
MXene
was
employed
manufacture
next-generation
EMI
materials.
Vacuum-assisted
filtration
combined
with
liquid
nitrogen
prefreezing
strategy
adopted
prepare
flexible
MXene/cellulose
nanofibers
(CNFs)
composite
aerogel
film
unique
cellular
structure.
Here,
CNFs
were
as
reinforcement,
such
structure
design
can
effectively
improve
effectiveness
(SE).
In
particular,
shows
outstanding
SE
54
dB.
Furthermore,
MXene/CNFs
exhibited
prominent
steady
photothermal
conversion
ability,
which
could
obtain
maximum
equilibrium
temperature
89.4
°C
under
808
nm
NIR
laser.
Thus,
our
appealing
construction
holds
great
promise
for
materials
heating
applications
in
cold
complex
practical
environment.
ACS Applied Energy Materials,
Год журнала:
2024,
Номер
7(3), С. 822 - 833
Опубликована: Фев. 1, 2024
Embark
on
a
journey
to
unlock
the
pivotal
roadmap
for
seamlessly
integrating
triboelectric
nanogenerators
(TENGs)
with
advanced
machine
learning
algorithms.
This
review
article
endeavors
present
comprehensive
strategy
integration
of
algorithms
TENGs
specifically
tailored
gesture
monitoring
applications.
The
primary
objective
is
outline
meticulous
methodology
seamless
fusion
TENG
technology
and
techniques
by
elucidating
key
tools
data
collection,
robust
analysis,
potential
challenges,
compelling
case
studies
that
highlight
tangible
applications
this
across
diverse
domains.
not
only
delves
into
underlying
principles
but
also
explores
fundamental
tenets
learning,
making
it
accessible
wide
readership,
from
novices
experts.
goal
facilitate
effective
implementation
integrated
framework,
enabling
development
more
efficient
sophisticated
solutions
elevating
human–machine
interaction
greater
heights.
Journal of Materials Chemistry A,
Год журнала:
2024,
Номер
12(27), С. 16839 - 16853
Опубликована: Янв. 1, 2024
Anti-swelling
hydrogel
sensors
are
especially
suitable
for
underwater
motion
monitoring
and
posture
recognition,
have
a
broad
application
prospect
in
human-computer
interaction
intelligent
sensing.
Nano Energy,
Год журнала:
2024,
Номер
128, С. 109943 - 109943
Опубликована: Июнь 28, 2024
The
increasing
demand
for
sustainable
energy
solutions
has
ignited
strong
interest
in
developing
biodegradable
Triboelectric
Nanogenerators
(B-TENGs),
representing
a
paradigm
shift
toward
eco-friendly
power
generation.Our
research
seeks
to
lead
this
transformative
endeavor,
aiming
address
existing
challenges
and
advance
the
field
of
B-TENG
technology.We
investigate
hybrid
composite
composed
Hydroxypropyl
Methylcellulose
(HPMC)
Zinc
Oxide
(ZnO)
nanoparticles,
emphasizing
sustainability
biodegradability.By
optimizing
HPMC
matrix,
we
increase
output
while
maintaining
biodegradability
adjust
content
achieve
balance
between
performance
flexibility.Our
results
show
significant
improvements
TENG
output,
with
1
%
HPMC:
ZnO
delivering
highest
performance:
maximum
voltage
39.8
V,
current
4.38
μA,
density
0.23
W/m
2
.Additionally,
films
display
excellent
biodegradability,
fully
degrading
water
within
36
h,
demonstrating
their
promise
applications.These
groundbreaking
advancements
highlight
potential
TENGs
transform
harvesting,
providing
solution
across
multiple
industries
setting
stage
greener
future
generations
come.
Journal of Materials Chemistry A,
Год журнала:
2024,
Номер
12(38), С. 25622 - 25642
Опубликована: Янв. 1, 2024
Here
in
this
review,
we
systematically
analyze
the
design
principles
of
MXene
hydrogels
for
next-generation
wearable
sensors.
Emphasis
is
placed
on
multiple
sensors
based
electrical/mechanical
enhancement
hydrogel
network.
Triboelectric
nanogenerators
(TENGs)
are
emerging
as
transformative
technologies
for
sustainable
energy
harvesting
and
precision
sensing,
offering
eco-friendly
power
generation
from
mechanical
motion.
They
harness
while
enabling
self-sustaining
sensing
self-powered
devices.
However,
challenges
such
material
optimization,
fabrication
techniques,
design
strategies,
output
stability
must
be
addressed
to
fully
realize
their
practical
potential.
Artificial
intelligence
(AI),
with
its
capabilities
in
advanced
data
analysis,
pattern
recognition,
adaptive
responses,
is
revolutionizing
fields
like
healthcare,
industrial
automation,
smart
infrastructure.
When
integrated
TENGs,
AI
can
overcome
current
limitations
by
enhancing
output,
stability,
adaptability.
This
review
explores
the
synergistic
potential
of
AI-driven
TENG
systems,
optimizing
materials
embedding
machine
learning
deep
algorithms
intelligent
real-time
sensing.
These
advancements
enable
improved
harvesting,
predictive
maintenance,
dynamic
performance
making
TENGs
more
across
industries.
The
also
identifies
key
future
research
directions,
including
development
low-power
algorithms,
materials,
hybrid
robust
security
protocols
AI-enhanced
solutions.
Abstract
Amidst
the
swift
progression
of
microelectronics
and
Internet
Things
technology,
wearable
devices
are
gradually
gaining
ground
in
domains
human
health
monitoring.
Recently,
bioenergy
harvesting
has
emerged
as
a
plausible
alternative
to
batteries.
This
paper
delves
into
inertial
energy
that
stimulates
masses
through
motion
then
transmutes
electrical
energy.
The
harvester
is
better
suited
for
low‐frequency
irregular
motion.
review
first
identifies
sources
excitation
compatible
with
harvesters
provides
summary
operating
principles
comparisons
commonly
used
conversion
mechanisms,
including
electromagnetic,
piezoelectric,
triboelectric
transducers.
thoroughly
summarizes
latest
advancements
energy‐harvesting
technology
categorized
grouped
based
on
their
mechanical
modulation
methods.
In
addition,
outlines
applications
powering
devices,
medical
monitoring,
mobile
power
sources.
Finally,
challenges
faced
by
technologies
discussed,
perspective
potential
developments
field.
