Advanced Materials Technologies,
Год журнала:
2024,
Номер
9(21)
Опубликована: Март 19, 2024
Abstract
Wearable
electronics
with
multi‐functionalities
are
widely
utilized
in
various
domains,
including
everyday
living,
healthcare,
military
training,
and
sports.
Advances
flexible
electronic
technology,
new
materials,
artificial
intelligence
sensor
technology
have
accelerated
the
rapid
development
of
smart
wearable
devices
toward
multifunctional
highly
integrated
trends.
The
energy
supply
based
on
human‐body
harvesting
method
endows
wearable,
sustainable,
renewable,
self‐powered
characteristics,
which
proposes
a
solution
strategy
for
function
expansion
devices.
Herein,
this
paper
discusses
recent
research
methods
human
body
wearing
parts
respectively,
focusing
structures,
processes
involved
representative
studies,
as
well
impact
output,
functional
applications.
Furthermore,
challenges
obstacles
faced
creation
self‐sufficiency
propose
strategies
to
propel
them
order
advance
next
wave
intelligent
also
discussed.
Advanced Functional Materials,
Год журнала:
2023,
Номер
33(45)
Опубликована: Июль 28, 2023
Abstract
Fabric‐based
triboelectric
nanogenerators
(TENGs)
exhibit
superior
output
performance,
flexibility,
and
wearability.
However,
the
fabric
structure
often
creates
gaps
that
accumulate
contaminants,
which
weaken
performance
durability
of
TENGs.
To
address
this
challenge,
a
novel
eco‐friendly
superhydrophobic
fabric‐based
TENG
(SF‐TENG)
woven
with
electroconductive
bacterial
cellulose
fiber
(SEBC
fiber)
is
presented.
construct
durable
superhydrophobicity,
an
ingenious
bio‐fabricated
method
employed
for
shell–core
structure.
SEBC
fibers
excellent
electroconductibility,
mechanical
property,
biodegradability,
superhydrophobicity.
SF‐TENG
displays
maximum
open‐circuit
voltage
266.0
V,
short‐circuit
current
5.9
µA,
power
489.7
µW,
successfully
powers
devices
such
as
stopwatch
calculator.
Abilities
self‐cleaning
anti‐fouling
guarantee
stable
under
harsh
environmental
conditions
liquids
pouring.
Furthermore,
intelligent
clothing
designed
based
on
to
detect
motion
signals,
it
further
utilized
Sports
Health
Monitoring
System
deep
application.
In
summary,
study
provides
strategy
bio‐fabrication
design
preparation
The
demonstrates
practicability,
stability
promising
wearable
in
conditions.
Nano Energy,
Год журнала:
2023,
Номер
115, С. 108729 - 108729
Опубликована: Июль 20, 2023
Triboelectric
nanogenerators
(TENGs),
offering
self-powered
actuation,
grasping,
and
sensing
capabilities
without
the
need
for
an
external
power
source,
have
potential
to
revolutionize
field
of
robotic
systems.
TENGs
can
directly
convert
mechanical
energy
into
electrical
that
be
used
small
electronics.
This
review
explores
huge
TENGs'
mechanisms
modes
various
robotics
actuation
applications.
Firstly,
improvements
in
efficiency
reliability
TENG-based
systems
by
are
discussed.
Following
that,
grippers
having
controlled
gripping
a
distinctive
ability
self-calibrate
precise
sharp
object
handling
enlightened.
Additionally,
design
development
pressure
sensors
incorporated
further
Self-powered
multimode-sensing
devices,
which
sense
many
stimuli
such
as
temperature,
applied
force
its
direction,
humidity,
briefly
Integrating
with
human-machine-interaction
(HMI)
technologies
enables
more
sophisticated
intelligent
contact
environment,
is
also
highlighted.
Finally,
we
addressed
challenges
future
this
emerging
field.
In
conclusion,
open
up
wide
range
opportunities
gripping,
exceptional
precision
while
being
compatible
both
soft
rigid
As
artificial
intelligence
(AI)
advances,
it
is
critical
to
give
conventional
electronics
the
capacity
“think,”
“analyze,”
and
“advise.”
The
need
for
intelligent,
self-powered
devices
has
increased
due
recent
significant
developments
in
computer
field,
namely,
fields
of
AI
machine
learning
(ML).
use
nanogenerators
area
acoustics
examined
this
Review,
with
an
emphasis
on
how
they
might
be
integrated
ML
AI.
Innovative
energy-harvesting
called
are
able
produce
electrical
power
from
outside
sources,
such
as
vibrations
air
or
mechanical
movements.
study
examines
a
number
acoustic
applications
nanogenerators,
energy
harvesting,
sound
detection,
noise
monitoring,
sensing.
Furthermore,
research
highlights
techniques
enhance
performance
enable
more
efficient
through
data
analysis
model
training.
At
end
future
development
prospects
based
were
discussed.
Neurocomputing,
Год журнала:
2024,
Номер
599, С. 128096 - 128096
Опубликована: Июнь 22, 2024
Green
artificial
intelligence
(AI)
is
more
environmentally
friendly
and
inclusive
than
conventional
AI,
as
it
not
only
produces
accurate
results
without
increasing
the
computational
cost
but
also
ensures
that
any
researcher
with
a
laptop
can
perform
high-quality
research
need
for
costly
cloud
servers.
This
paper
discusses
green
AI
pivotal
approach
to
enhancing
environmental
sustainability
of
systems.
Described
are
solutions
eco-friendly
practices
in
other
fields
(green-by
AI),
strategies
designing
energy-efficient
machine
learning
(ML)
algorithms
models
(green-in
tools
accurately
measuring
optimizing
energy
consumption.
Also
examined
role
regulations
promoting
future
directions
sustainable
ML.
Underscored
importance
aligning
considerations,
fostering
eco-conscious
ACS Sensors,
Год журнала:
2023,
Номер
8(2), С. 482 - 514
Опубликована: Янв. 19, 2023
Graphene
remains
of
great
interest
in
biomedical
applications
because
biocompatibility.
Diseases
relating
to
human
senses
interfere
with
life
satisfaction
and
happiness.
Therefore,
the
restoration
by
artificial
organs
or
sensory
devices
may
bring
a
bright
future
recovery
patients.
In
this
review,
we
update
most
recent
progress
graphene
based
sensors
for
mimicking
such
as
retina
image
sensors,
eardrums,
gas
chemical
tactile
sensors.
The
brain-like
processors
are
discussed
on
conventional
transistors
well
memristor
related
neuromorphic
computing.
brain–machine
interface
is
introduced
providing
single
pathway.
Besides,
muscles
summarized
means
actuators
order
react
physical
world.
Future
opportunities
remain
elevating
performances
human-like
their
clinical
applications.
ACS Nano,
Год журнала:
2024,
Номер
18(14), С. 9980 - 9996
Опубликована: Фев. 22, 2024
Human
hands
are
amazingly
skilled
at
recognizing
and
handling
objects
of
different
sizes
shapes.
To
date,
soft
robots
rarely
demonstrate
autonomy
equivalent
to
that
humans
for
fine
perception
dexterous
operation.
Here,
an
intelligent
robotic
system
with
autonomous
operation
multimodal
ability
is
developed
by
integrating
capacitive
sensors
triboelectric
sensor.
With
distributed
multiple
sensors,
our
robot
can
not
only
sense
memorize
information
but
also
enable
adaptive
grasping
method
positioning
grasp
control,
during
which
the
sensory
be
captured
sensitively
fused
feature
level
crossmodally
objects,
leading
a
highly
enhanced
recognition
capability.
The
proposed
system,
combining
performance
physical
intelligence
biological
systems
(i.e.,
self-adaptive
behavior
perception),
will
greatly
advance
integration
actuators
robotics
in
many
fields.
