Advanced Materials Technologies,
Год журнала:
2024,
Номер
9(7)
Опубликована: Фев. 6, 2024
Abstract
Triboelectric
nanogenerator
(TENG)
has
become
a
promising
candidate
for
wearable
energy
harvesting
and
self‐powered
sensing
systems.
However,
processing
large
amounts
of
data
imposes
computing
power
barrier
practical
application.
Machine
learning‐assisted
sensors
based
on
TENG
have
been
widely
used
in
data‐driven
applications
due
to
their
excellent
characteristics
such
as
no
additional
supply,
high
accuracy,
low
cost,
good
biocompatibility.
This
work
comprehensively
reviews
the
latest
progress
machine
learning
(ML)‐assisted
TENG‐based
sensors.
The
future
challenges
opportunities
are
discussed.
First,
fundamental
principles
including
working
mode
ML‐assisted
sensor
common
algorithms
systematically
illustrated,
which
emphasizes
algorithm
definition
principle.
Subsequently,
ML
methods
field
is
further
reviewed,
summarizing
advantages
disadvantages
various
examples,
providing
guidance
suggestions
how
choose
appropriate
methods.
Finally,
prospects
summarized.
Directions
important
insights
development
AI
integration
provided.
Chemical Reviews,
Год журнала:
2024,
Номер
124(2), С. 455 - 553
Опубликована: Янв. 4, 2024
In
the
era
of
Internet-of-things,
many
things
can
stay
connected;
however,
biological
systems,
including
those
necessary
for
human
health,
remain
unable
to
connected
global
Internet
due
lack
soft
conformal
biosensors.
The
fundamental
challenge
lies
in
fact
that
electronics
and
biology
are
distinct
incompatible,
as
they
based
on
different
materials
via
functioning
principles.
particular,
body
is
curvilinear,
yet
typically
rigid
planar.
Recent
advances
design
have
generated
tremendous
opportunities
wearable
bioelectronics,
which
may
bridge
gap,
enabling
ultimate
dream
healthcare
anyone,
anytime,
anywhere.
We
begin
with
a
review
historical
development
healthcare,
indicating
significant
trend
healthcare.
This
followed
by
focal
point
discussion
about
new
design,
particularly
low-dimensional
nanomaterials.
summarize
material
types
their
attributes
designing
bioelectronic
sensors;
we
also
cover
synthesis
fabrication
methods,
top-down,
bottom-up,
combined
approaches.
Next,
discuss
energy
challenges
progress
made
date.
addition
front-end
devices,
describe
back-end
machine
learning
algorithms,
artificial
intelligence,
telecommunication,
software.
Afterward,
integration
systems
been
applied
various
testbeds
real-world
settings,
laboratories
preclinical
clinical
environments.
Finally,
narrate
remaining
conjunction
our
perspectives.
Advanced Functional Materials,
Год журнала:
2023,
Номер
33(44)
Опубликована: Июль 7, 2023
Abstract
Piezo/triboelectric
nanogenerators
(PTNGs)
have
become
the
research
frontier
in
many
cutting‐edge
applications,
which
open
up
promising
possibilities
for
broad
prospects.
Fiber
materials
are
ideal
candidate
constructing
high‐performance
PTNGs
owing
to
compelling
features
of
lightweight,
programmable
structure,
favorable
softness,
and
brilliant
breathability.
To
this
end,
working
mechanisms,
material
selections,
structural
designs
fabrication
methods
fiber
constructed
comprehensively
presented.
An
in‐depth
analysis
emerging
applications
ranging
from
intelligent
clothing,
smart
home,
personalized
medicine
artificial
intelligence
is
thoughtfully
demonstrated.
Furthermore,
current
problems
potential
challenges
that
hinder
their
large‐scale
commercial
systematically
discussed,
laying
emphasis
on
future
development
direction
PTNGs.
It
expected
review
will
supply
audience
with
some
universal
strategies
fresh
ideas
conduct
deep
toward
better
performance.
Advanced Functional Materials,
Год журнала:
2023,
Номер
33(37)
Опубликована: Май 14, 2023
Abstract
Developing
versatile
and
high
sensitivity
sensors
is
beneficial
for
promoting
flexible
electronic
devices
human‐machine
interactive
systems.
Researchers
are
working
on
the
exploration
of
various
active
sensing
materials
toward
broad
detection,
multifunction,
low‐power
consumption.
Here,
a
ion‐gel
fibrous
membrane
presented
by
electrospinning
technology
utilized
to
construct
capacitive
triboelectric
nanogenerator
(TENG).
The
iontronic
sensor
exhibits
inherently
favorable
repeatability,
which
retains
long‐term
stability
after
5000
cycles.
can
also
detect
clear
pulse
waveform
at
human
wrist
enable
mapping
pressure
distribution
sensory
matrix.
For
TENG,
maximum
peak
power
54.56
µW
be
used
commercial
electronics.
In
addition,
prepared
TENG
array
achieve
interactive,
rapidly
responsive,
accurate
dynamic
monitoring,
broadens
direct
effective
devices.
promising
provide
an
outstanding
approach
physiological
biomechanical
energy
harvesting,
interaction,
self‐powered
monitoring
Nano-Micro Letters,
Год журнала:
2024,
Номер
17(1)
Опубликована: Сен. 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.
Sensors,
Год журнала:
2023,
Номер
23(3), С. 1329 - 1329
Опубликована: Янв. 24, 2023
With
the
development
of
5G,
artificial
intelligence,
and
Internet
Things,
diversified
sensors
(such
as
signal
acquisition
module)
have
become
more
important
in
people's
daily
life.
According
to
extensive
use
various
distributed
wireless
sensors,
powering
them
has
a
big
problem.
Among
all
methods,
self-powered
sensor
system
based
on
triboelectric
nanogenerators
(TENGs)
shown
its
superiority.
This
review
focuses
four
major
application
areas
TENG,
including
environmental
monitoring,
human
industrial
production,
The
perspectives
outlook
future
are
discussed.
ACS Applied Materials & Interfaces,
Год журнала:
2024,
Номер
16(5), С. 6239 - 6249
Опубликована: Янв. 25, 2024
Hybrid
piezoelectric/triboelectric
nanogenerators
combine
the
merits
of
piezoelectric
(PENGs)
and
triboelectric
(TENGs),
possessing
enhanced
electrical
output
sensitivity.
However,
structures
majority
hybrid
are
rather
complex
in
integrating
both
functions,
limiting
their
practical
application
wearable
electronics.
Herein,
we
propose
to
construct
a
nanogenerator
(PT-NG)
with
simple
structure
based
on
composite
film
simultaneously
achieve
coupling
charge
generation
triboelectrification
improved
energy
conversion
efficiency.
The
consists
electrospun
PVDF
nanofibers
embedded
surface
PDMS
film,
which
not
only
forms
rough
nanomorphology
but
also
provides
structural
protection
by
during
compressive
deformation.
results
have
shown
that
PT-NG
can
generate
much
higher
outputs
than
individual
TENG
PENG
devices.
devices
exhibit
high
level
mechanical-to-electrical
efficiency
superior
performance
charging
capacitors
functioning
as
self-powered
sensors
for
detection
different
signals
from
finger
movement,
recognition
various
gestures,
monitoring
respiration.
More
importantly,
device
possesses
an
impressive
durability,
maintaining
its
layered
over
5000
testing
cycles
without
noticing
any
obvious
damage
or
detachment
between
layers.
Our
demonstrated
combining
substrate
is
efficient
way
fabricate
highly
harvesting
intelligent
identification
health
monitoring.
Abstract
Yarn‐woven
triboelectric
nanogenerators
(TENGs)
have
greatly
advanced
wearable
sensor
technology,
but
their
limited
sensitivity
and
stability
hinder
broad
adoption.
To
address
these
limitations,
Poly(VDF‐TrFE)
P(olyadiohexylenediamine
(PA66)‐based
nanofibers
coaxial
yarns
(NCYs)
combining
conjugated
electrospinning
online
conductive
adhesive
coating
are
developed.
The
integration
of
NCYs
led
to
enhanced
TENGs
(NCY‐TENGs),
notable
for
flexibility,
stretchability,
improved
sensitivity,
which
is
ideal
capturing
body
motion
signals.
One
significant
application
this
technology
the
fabrication
smart
insoles
from
NCY‐TENG
plain‐woven
fabrics.
These
highly
sensitive
possess
antibacterial,
breathable,
washable
properties,
making
them
real‐time
gait
monitoring
in
patients
with
diabetic
foot
conditions.
NCY‐TENGs
derivatives
show
immense
potential
a
variety
electronic
devices,
representing
considerable
advancement
field
sensors.
Chemical Reviews,
Год журнала:
2024,
Номер
124(17), С. 9899 - 9948
Опубликована: Авг. 28, 2024
Electronic
skins
(e-skins)
have
seen
intense
research
and
rapid
development
in
the
past
two
decades.
To
mimic
capabilities
of
human
skin,
a
multitude
flexible/stretchable
sensors
that
detect
physiological
environmental
signals
been
designed
integrated
into
functional
systems.
Recently,
researchers
increasingly
deployed
machine
learning
other
artificial
intelligence
(AI)
technologies
to
neural
system
for
processing
analysis
sensory
data
collected
by
e-skins.
Integrating
AI
has
potential
enable
advanced
applications
robotics,
healthcare,
human–machine
interfaces
but
also
presents
challenges
such
as
diversity
model
robustness.
In
this
review,
we
first
summarize
functions
features
e-skins,
followed
feature
extraction
different
models.
Next,
discuss
utilization
design
e-skin
address
key
topic
implementation
e-skins
accomplish
range
tasks.
Subsequently,
explore
hardware-layer
in-skin
before
concluding
with
an
opportunities
various
aspects
AI-enabled
