Abstract
This
study
explores
the
role
of
S
vacancies
in
MoS
2
enhancing
its
piezocatalytic
efficiency.
Sulfur
crystal
lattice
introduce
localized
changes
electronic
structure
and
charge
distribution,
improving
material's
piezoelectric
response.
Characterization
catalysts
involved
techniques
like
field‐emission
scanning
electron
microscopy
(FESEM),
X‐ray
diffraction
(XRD),
transmission
(TEM),
photoelectron
spectroscopy
(XPS).
Electrochemical
measurements,
including
impedance
(EIS)
Mott–Schottky
(M‐S)
analysis,
are
performed
to
assess
performance.
The
also
employed
density
functional
theory
(DFT)
calculations
investigate
hydrogen
adsorption
properties
with
vacancies.
results
demonstrated
that
S‐deficient
significantly
enhanced
H
evolution.
production
rates
different
vacancy
concentrations
measured
under
ultrasonic
vibration.
sample
an
optimal
concentration
(MS‐1)
exhibited
highest
rate
1423.29
µmol
g
−1
h
,
compared
439.06
for
pristine
(MS‐0).
improved
performance
is
attributed
increased
polarization
efficient
separation
facilitated
by
Energy & Environmental Science,
Год журнала:
2023,
Номер
16(9), С. 3654 - 3678
Опубликована: Янв. 1, 2023
The
latest
progress,
and
important
experimental
strategies
conclusions
on
the
design
synthesis
of
thetriboelectric
polymers
are
systemically
summarized.
A
triboelectric
polymer
handbook
with
common
their
properties
is
listed.
Bioelectronic Medicine,
Год журнала:
2023,
Номер
9(1)
Опубликована: Авг. 2, 2023
The
fourth
industrial
revolution
has
led
to
the
development
and
application
of
health
monitoring
sensors
that
are
characterized
by
digitalization
intelligence.
These
have
extensive
applications
in
medical
care,
personal
management,
elderly
sports,
other
fields,
providing
people
with
more
convenient
real-time
services.
However,
these
face
limitations
such
as
noise
drift,
difficulty
extracting
useful
information
from
large
amounts
data,
lack
feedback
or
control
signals.
artificial
intelligence
provided
powerful
tools
algorithms
for
data
processing
analysis,
enabling
intelligent
monitoring,
achieving
high-precision
predictions
decisions.
By
integrating
Internet
Things,
intelligence,
sensors,
it
becomes
possible
realize
a
closed-loop
system
functions
collection,
online
diagnosis,
treatment
recommendations.
This
review
focuses
on
healthcare
enhanced
technologies
aspects
materials,
device
structure,
integration,
scenarios.
Specifically,
this
first
introduces
great
advances
wearable
respiration
rate,
heart
pulse,
sweat,
tears;
implantable
cardiovascular
nerve
signal
acquisition,
neurotransmitter
monitoring;
soft
electronics
precise
therapy.
Then,
recent
volatile
organic
compound
detection
highlighted.
Next,
current
developments
human-machine
interfaces,
AI-enhanced
multimode
self-sustainable
systems
reviewed.
Last,
perspective
future
directions
further
research
is
also
provided.
In
summary,
fusion
will
provide
intelligent,
convenient,
secure
services
next-generation
biomedical
applications.
Abstract
Metal‐organic
frameworks
(MOFs)
that
are
the
wonder
material
of
21st
century
consist
metal
ions/clusters
coordinated
to
organic
ligands
form
one‐
or
more‐dimensional
porous
structures
with
unprecedented
chemical
and
structural
tunability,
exceptional
thermal
stability,
ultrahigh
porosity,
a
large
surface
area,
making
them
an
ideal
candidate
for
numerous
potential
applications.
In
this
work,
recent
progress
in
design
synthetic
approaches
MOFs
explore
their
applications
fields
gas
storage
separation,
catalysis,
magnetism,
drug
delivery,
chemical/biosensing,
supercapacitors,
rechargeable
batteries
self‐powered
wearable
sensors
based
on
piezoelectric
triboelectric
nanogenerators
summarized.
Lastly,
work
identifies
present
challenges
outlines
future
opportunities
field,
which
can
provide
valuable
references.
Nature Communications,
Год журнала:
2023,
Номер
14(1)
Опубликована: Ноя. 14, 2023
Abstract
Humans
can
gently
slide
a
finger
on
the
surface
of
an
object
and
identify
it
by
capturing
both
static
pressure
high-frequency
vibrations.
Although
modern
robots
integrated
with
flexible
sensors
precisely
detect
pressure,
shear
force,
strain,
they
still
perform
insufficiently
or
require
multi-sensors
to
respond
physical
stimuli
during
interaction.
Here,
we
report
real-time
artificial
sensory
system
for
high-accuracy
texture
recognition
based
single
iontronic
slip-sensor,
propose
criterion—spatiotemporal
resolution,
corelate
sensing
performance
capability.
The
sensor
dynamic
(0-400
Hz)
high
spatial
resolution
15
μm
in
spacing
6
height,
together
0.02
Hz
at
400
Hz,
enabling
high-precision
discrimination
fine
features.
prosthetic
fingertip
20
different
commercial
textiles
100.0%
accuracy
fixed
sliding
rate
98.9%
random
rates.
is
expected
help
achieve
subtle
tactile
sensation
robotics
prosthetics,
further
be
applied
haptic-based
virtual
reality
beyond.
ACS Nano,
Год журнала:
2023,
Номер
17(5), С. 4985 - 4998
Опубликована: Март 3, 2023
Flexible
electronics
such
as
tactile
cognitive
sensors
have
been
broadly
adopted
in
soft
robotic
manipulators
to
enable
human-skin-mimetic
perception.
To
achieve
appropriate
positioning
for
randomly
distributed
objects,
an
integrated
guiding
system
is
inevitable.
Yet
the
conventional
based
on
cameras
or
optical
exhibits
limited
environment
adaptability,
high
data
complexity,
and
low
cost
effectiveness.
Herein,
a
perception
with
remote
object
multimodal
cognition
capability
developed
by
integrating
ultrasonic
sensor
flexible
triboelectric
sensors.
The
able
detect
shape
distance
reflected
ultrasound.
Thereby
manipulator
can
be
positioned
position
perform
grasping,
during
which
capture
sensory
information
top
profile,
size,
shape,
hardness,
material,
etc.
These
are
then
fused
deep-learning
analytics,
leading
highly
enhanced
accuracy
identification
(∼100%).
proposed
presents
facile,
low-cost,
effective
methodology
integrate
intelligence
robotics,
significantly
expanding
functionalities
adaptabilities
of
current
systems
industrial,
commercial,
consumer
applications.
Advanced Energy Materials,
Год журнала:
2023,
Номер
13(31)
Опубликована: Июнь 29, 2023
Abstract
In
the
age
of
artificial
intelligence
things
(AIoT),
wearable
devices
have
been
extensively
developed
for
smart
healthcare.
This
paper
proposes
a
self‐powered
and
self‐sensing
lower‐limb
system
(SS‐LS)
with
negative
energy
harvesting
motion
capture
The
SS‐LS
achieves
self‐sustainability
via
half‐wave
electromagnetic
generator
(HW‐EMG)
that
recovers
work
from
walking
low
cost
harvesting.
Additionally,
function
is
achieved
by
three‐channel
triboelectric
nanogenerator
(TC‐TENG)
based
on
binary
code,
which
can
accurately
detect
angle
direction
knee
joint
rotation.
bench
test
experiment
indicates
HW‐EMG
has
an
average
output
power
11.2
mW,
sufficient
to
wireless
sensor.
voltage
signal
TC‐TENG
fits
well
signal,
precisely
Furthermore,
demonstrates
identification
accuracy
99.68%
detection
99.96%
LSTM
deep
learning
model.
Demonstrations
Parkinson's
disease
fall
monitoring
three
training
modes
(sit‐and‐stand,
balance,
training)
are
also
performed,
exhibit
outstanding
sensing
capabilities.
highly
promising
in
sports
rehabilitation
medicine
contribute
development
ACS Nano,
Год журнала:
2023,
Номер
17(7), С. 6435 - 6451
Опубликована: Март 20, 2023
The
evolution
of
artificial
intelligence
things
(AIoT)
drastically
facilitates
the
development
a
smart
city
via
comprehensive
perception
and
seamless
communication.
As
foundation,
various
AIoT
nodes
are
experiencing
low
integration
poor
sustainability
issues.
Herein,
cubic-designed
intelligent
piezoelectric
node
iCUPE
is
presented,
which
integrates
high-performance
energy
harvesting
self-powered
sensing
module
micromachined
lead
zirconate
titanate
(PZT)
thick-film-based
high-frequency
(HF)-piezoelectric
generator
(PEG)
poly(vinylidene
fluoride-co-trifluoroethylene)
(P(VDF-TrFE))
nanofiber
thin-film-based
low-frequency
(LF)-PEGs,
respectively.
LF-PEG
HF-PEG
with
specific
frequency
up-conversion
(FUC)
mechanism
ensures
continuous
power
supply
over
wide
range
10-46
Hz,
record
high
density
17
mW/cm3
at
1
g
acceleration.
cubic
design
allows
for
orthogonal
placement
three
FUC-PEGs
to
ensure
response
vibrational
sources
from
different
directions.
triaxial
sensor
(TPS)
combined
machine
learning
(ML)
assisted
units
by
using
LF-PEGs
achieve
high-precision
multifunctional
vibration
recognition
resolutions
0.01
g,
2°
acceleration,
frequency,
tilting
angle,
respectively,
providing
accuracy
98%-100%.
This
work
proves
feasibility
developing
ML-based
accelerometer
gyroscope
functions
resonant
frequencies.
proposed
sustainable
highly
scalable
explore
capabilities
under
diverse
environments,
essential
implementation.
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.
Abstract
The
current
generation
of
wearable
sensors
often
experiences
signal
interference
and
external
corrosion,
leading
to
device
degradation
failure.
To
address
these
challenges,
the
biomimetic
superhydrophobic
approach
has
been
developed,
which
offers
self‐cleaning,
low
adhesion,
corrosion
resistance,
anti‐interference,
other
properties.
Such
surfaces
possess
hierarchical
nanostructures
surface
energy,
resulting
in
a
smaller
contact
area
with
skin
or
environment.
Liquid
droplets
can
even
become
suspended
outside
flexible
electronics,
reducing
risk
pollution
interference,
contributes
long‐term
stability
complex
environments.
Additionally,
coupling
electronics
potentially
enhance
performance
due
their
large
specific
energy.
However,
fragility
layered
textures
various
scenarios
lack
standardized
evaluation
testing
methods
limit
industrial
production
sensors.
This
review
provides
an
overview
recent
research
on
sensors,
including
fabrication
methodology,
evaluation,
application
targets.
processing,
performance,
characteristics
are
discussed,
as
well
working
mechanisms
potential
challenges
electronics.
Moreover,
strategies
for
application‐oriented
presented.
