Formaldehyde Sensing in Mixed Gas Environments Using Co3O4-Encapsulated ZnO-Based Yolk–Shell Spheres for Breath Analysis
ACS Applied Nano Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 17, 2025
Язык: Английский
Large‐Scale 2D Perovskite Nanocrystals Photodetector Array via Ultrasonic Spray Synthesis
Advanced Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 19, 2025
Abstract
2D
perovskite
(PVSK)
single
crystals
have
received
significant
attention
due
to
their
unique
optical
and
optoelectronic
properties.
However,
current
synthesis
methods
face
limitations,
particularly
in
large‐area
fabrication,
which
remain
critical
barriers
practical
applications.
In
this
study,
the
of
red/green/purple‐blue‐colored
PVSK
nanocrystals
over
a
large
area
(4‐inch
wafer)
fabrication
high‐performance
photodetector
arrays
are
presented
via
facile
yet
efficient
spray‐coating
approach
with
liquid‐bridge
transport
effect.
The
array
achieves
100%
working
yield,
high
photo‐responsivity
(1.5
×
10
6
A
W
−1
)
specific‐detectivity
(1.1
16
Jones)
competitive
photomapping
characteristics.
An
intelligent
vision
system
for
automatic
shape
recognition
is
further
demonstrated
rate
exceeding
90%.
This
study
provides
advances
scalable
nanoscale
crystals,
integration
into
devices,
potential
use
artificial‐intelligence
systems.
Язык: Английский
Layer-by-Layer Self-Assembled Honeycomb Structure Flexible Pressure Sensor Array for Gait Analysis and Motion Posture Recognition with the Assistance of the ResNet-50 Neural Network
ACS Sensors,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 10, 2025
With
the
rapid
emergence
of
flexible
electronics,
pressure
sensors
are
importance
in
various
fields.
In
this
study,
a
dopamine-modified
melamine
sponge
(MS)
was
used
to
prepare
honeycomb
structure
carbon
black
(CB)/MXene-silicone
rubber
(SR)@MS
sensor
(CMSM)
through
layer-by-layer
self-assembly
technology.
Using
SR
as
binder
construct
not
only
improves
mechanical
properties
but
also
provides
more
attachment
sites
for
CB/MXene,
enhancing
stability
conductive
network.
The
CMSM
exhibits
high
sensitivity
(7.44
kPa-1),
wide
detection
range
(0-240
kPa),
short
response/recovery
times
(150
ms/180
ms),
and
excellent
stability.
addition,
smart
insole
has
been
developed
based
on
6-unit
array,
achieving
plantar
detection.
By
combination
ResNet-50
neural
network
algorithm
with
data
under
different
postures,
recognition
16
types
human
motion
postures
achieved,
an
accuracy
rate
90.63%.
This
study
proposes
performance
sensing
capabilities,
providing
new
ideas
references
design
wearable
devices.
Язык: Английский
Lattice Distortion Confinement Induced by Cationic Vacancy for Ambient Temperature Durable Aluminum‐Ion Batteries
Advanced Functional Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 16, 2025
Abstract
3D
accessible
Mn‐based
Prussian
blue
analogues
(PBAs)
framework
shows
great
potential
in
serving
as
host
for
carriers.
However,
their
inevitable
Jahn–Teller
distortion
(JTD)
induced
by
Mn
3+
ions
bring
uncertainty
structural
and
phase‐change
robustness
during
carrier
reversible
intercalation,
particularly
highly
charged
Al
with
strong
Coulombic
interaction.
Herein,
a
cationic
vacancy
design
on
sites
(V
)
is
proposed
high‐performance
storage.
By
virtue
of
low‐cost
Na
2
EDTA
molecules,
the
introduction
V
,
undesired
JTD,
corresponding
can
be
well‐suppressed.
As
result,
enhanced
PBAs
exhibits
excellent
long‐term
cyclic
stability
favorable
intercalation
energies
In
addition,
as‐assembled
MoO
3
//V
‐PBAs
full
cell
batteries
operate
wide
temperature
range
from
−15
to
50
°C,
without
any
additives
aqueous
electrolyte.
This
work
highlights
comprehensive
availability
strategy
Al‐ion
within
ambinent
temperature,
further,
providing
novel
sight
sustainable
development
next‐generation
energy
storage
technique.
Язык: Английский
Neuromorphic Computing Using Synaptic Plasticity of Supercapacitors
Advanced Science,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 24, 2025
Neuromorphic
computing
systems
convert
multimodal
signals
to
electrical
responses
for
artificial
intelligence
recognition.
Energy
is
consumed
during
both
the
response
enhancement
and
depression,
making
suffer
from
high
energy
consumption.
This
study
presents
a
neuromorphic
pathway
based
on
supercapacitors.
MXene
Ti₃C₂Tx
supercapacitors
are
fabricated
current
stimuli
voltage
responses.
The
depression
tunable
through
adjusting
charging
discharging
stimuli,
thus
exhibiting
synaptic
plasticity.
Typical
behaviors
demonstrated,
including
short-term
memory,
long-term
paired-pulse
facilitation,
learning
experience.
Next,
used
recognize
Braille
numbers
represented
by
3
×
4
arrays.
A
charging/discharging
pulse
train
representing
each
array
applied
supercapacitor.
collected
converted
12-pixel
greyscale
images.
Once
images
0-9
input
into
neural
networks
deep
diffraction
networks,
100%
accuracy
can
be
achieved
recognizing
ten
numbers.
Because
stored
in
supercapacitor
released
once
declines,
this
research
demonstrates
potential
applications
of
storage
devices
computing,
providing
an
innovative
way
develop
energy-efficient
brain-like
systems.
Язык: Английский
In Situ Polarization Enables Dipole Alignment of α-Phase Polyamide 11 Nanoribbons for Breathable Triboelectric Textile
ACS Applied Materials & Interfaces,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 27, 2025
Triboelectric
textiles
have
been
extensively
studied
for
wearable
energy
applications,
including
single-fiber
power
generation,
humidity-resistant
air-breakdown-based
etc.
However,
intrinsic
tribo-charge
transfer
in
fiber-
or
textile-based
triboelectric
materials
remains
at
a
low
level.
Here,
we
propose
polarization
strategy
to
enhance
performance
using
α-phase
polyamide
11
nanoribbons.
By
employing
high-voltage
electrostatic
field
during
electrospinning,
achieve
situ
of
11,
resulting
an
116%
improvement
the
11-based
nonwovens.
Additionally,
apply
cold
pressing
optimize
specific
surface
area
and
air
permeability
all-fiber-energy
nonwoven,
achieving
balance
high
electrical
wearability.
We
further
demonstrate
applications
this
nanofiber-based
textile
wireless
sensing
breathable
insoles.
This
all-fiber
enhancement
provides
valuable
insights
development
high-performance
future.
Язык: Английский
Flexible Strain Sensor Enabled by Back Propagation Neural Network for Gesture Recognition
Advanced Intelligent Systems,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 15, 2025
Gesture
recognition
utilizing
flexible
strain
sensors
is
widely
applied
in
human–machine
interfaces.
However,
it
limited
to
strict
environmental
requirements
and
inadequate
accuracy.
Herein,
a
sensor
developed
based
on
microfluidics
using
back
propagation
(BP)
neural
network
for
highly
accurate
gesture
recognition.
The
microfibers
are
achieved
with
stretchable
polyurethane
shells
conductive
liquid
metal
cores
convenient,
safe,
effective
way.
Further,
by
combining
3D
printing
microfluidics,
the
microfiber
units
constructed.
Because
of
great
advantages
mechanical
electrical
performance
units,
shows
impressive
stretching
conductivity.
When
finger,
converts
bending
deformation
into
signals
directly.
Thus,
set
attached
five
fingers
record
corresponding
different
gestures,
which
can
be
further
analyzed
To
improve
accuracy,
combined
BP
network.
With
introduced
input
layer
as
characteristic
values
training
set,
high‐precision
updating
weights
through
training.
This
strategy
has
broad
application
potential
biomedicine,
aerospace,
other
fields.
Язык: Английский
Superior sulfur conversion reaction on phosphorus-doped carbon dot/graphene composites for Li-S batteries in a wide working temperature range
Green Chemical Engineering,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 1, 2025
Язык: Английский
Design of Highly Stretchable, Self‐Adhesive Ionic Conductive Hydrogels for Wearable Strain Sensors
Advanced Sensor Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 21, 2025
Abstract
Conductive
hydrogels
(CHs)
have
received
numerous
attentions
for
potential
applications
in
flexible
electronics.
However,
the
construction
of
high‐performance
CHs
with
high
stretchability,
favorable
electrical
conductivity,
and
reversible
adhesiveness
simultaneously
still
remains
a
great
challenge.
Herein,
an
ionic
CH
above
characteristics
is
proposed
via
introducing
phytic
acid
(PA)
into
semi‐interpenetrating
cross‐linked
network
poly(acrylamide‐co‐N‐(hydroxymethyl)
acrylamide)
chitosan
hydrogels.
The
synergy
hydrogen
bonds
electrostatic
interactions
endows
obtained
hydrogel
stretchability
(1131%),
toughness
(88.32
kJ·m
−3
),
satisfactory
(25.78
kPa
to
wood).
presence
PA
enables
composite
exhibit
conductivity.
Impressively,
resultant
can
be
assembled
wearable
strain
sensor
present
sensitivity
1.32
wide
response
range
(0–1131%),
rapid
time
(340
ms),
excellent
cyclic
stability.
More
importantly,
prepared
stain
precisely
recognize
complicated
human
movements
physiological
activities
realize
information
encryption,
making
this
promising
candidate
preparing
Язык: Английский
Pressure sensor with wide detection range and high sensitivity for wearable human health monitoring
Lingchen Liu,
Ying Yuan,
Hao Xu
и другие.
Journal of Semiconductors,
Год журнала:
2025,
Номер
46(4), С. 042401 - 042401
Опубликована: Апрель 1, 2025
Abstract
High-performance
flexible
pressure
sensors
have
garnered
significant
attention
in
fields
such
as
wearable
electronics
and
human-machine
interfaces.
However,
the
development
of
that
simultaneously
achieve
high
sensitivity,
a
wide
detection
range,
good
mechanical
stability
remains
challenge.
In
this
paper,
we
propose
piezoresistive
sensor
based
on
Ti
3
C₂Tx
(MXene)/polyethylene
oxide
(PEO)
composite
nanofiber
membrane
(CNM).
The
sensor,
utilizing
MXene
(0.4
wt%)/PEO
(5
wt%),
exhibits
sensitivity
(44.34
kPa
−1
at
0−50
kPa,
12.99
50−500
kPa)
can
reliably
monitor
physiological
signals
other
subtle
cues.
Moreover,
features
range
(0−500
kPa),
fast
response
recovery
time
(~150/45
ms),
excellent
(over
10
000
cycles
maximum
load).
Through
an
MXene/PEO
array,
demonstrate
its
applications
human
signal
monitoring,
providing
reliable
way
to
expand
application
MXene-based
sensors.
Язык: Английский