Advanced Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 18, 2025
Abstract
3D
printing
has
revolutionized
the
development
of
flexible
pressure
sensors
by
enabling
precise
fabrication
diverse
microstructures
that
significantly
enhance
sensor
performance.
These
advancements
have
substantially
improved
key
attributes
such
as
sensitivity,
response
time,
and
durability,
facilitating
applications
in
wearable
electronics,
robotics,
human–machine
interfaces.
This
review
provides
a
comprehensive
analysis
sensing
mechanisms
these
sensors,
emphasizing
role
microstructures,
micro‐patterned,
microporous,
hierarchical
designs,
optimizing
The
advantages
techniques,
including
direct
indirect
methods,
creation
complex
with
high
precision
adaptability
are
highlighted.
Specific
applications,
human
physiological
signal
monitoring,
motion
detection,
soft
emerging
explored
to
demonstrate
versatility
sensors.
Additionally,
this
briefly
discusses
challenges,
material
compatibility,
optimization
difficulties,
environmental
stability,
well
trends,
integration
advanced
technologies,
innovative
multidimensional
promising
avenues
for
future
advancements.
By
summarizing
recent
progress
identifying
opportunities
innovation,
critical
insights
into
bridging
gap
between
research
real‐world
helping
accelerate
evolution
sophisticated
3D‐printed
microstructures.
Small,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 21, 2025
Abstract
Integrating
perception
function
in
structural
components
of
smart
robots
for
motion
monitoring
is
highly
needed
but
still
challenging
due
to
the
deformation
limitations
rigid
sensing
materials
and
viscoelastic
hysteresis
flexible
materials.
The
seamless
integration
a
lightweight
adaptive
composite
layer
on
structure
support
reported
at
leading
edge
bird‐like
ornithopter
monitoring.
This
perception‐integrated
component
designed
by
firmly
wrapping
carbon
fiber
reinforced
plastics
(CFRP)
rod
core
sequence
with
polyacrylonitrile
(PAN)
nanofiber
network,
an
MXene/carbon
nanotubes
(CNT)
thin
conductive
layer,
thermoplastic
polyurethane
protection
sheath.
piezoresistive
MXene/CNT
effectively
adapts
trace
changes
CFRP
help
PAN
achieving
bend
component.
More
importantly,
enabled
flight
attitude
reproduction
damage
warning
actual
ornithopter.
work
provides
promising
solutions
advancing
development
future
ornithopters,
paving
way
more
intelligent,
compact,
designs.
ACS Nano,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 7, 2025
Emotion
monitoring
plays
a
crucial
role
in
mental
health
management.
However,
traditional
methods
of
emotion
recognition
predominantly
rely
on
subjective
questionnaires
or
facial
expression
analyses,
which
are
often
inadequate
for
continuous
and
highly
accurate
monitoring.
In
this
study,
we
propose
high-precision,
fine-grained
system
based
multisource
throat
physiological
signals.
The
collects
signals
through
optimized
flexible
multiporous
skin
sensors
analyzes
them
using
machine
learning
models
capable
efficiently
capturing
complex
feature
interactions.
First,
adopt
two-step
cross-linking
strategy
to
modulate
the
porous
structure
sensitive
layer
enable
detection
diverse
weak
throat.
By
extracting
four-dimensional
features
from
input
7025
samples,
platform
Light
Gradient
Boosting
Machine
(LightGBM)
captures
their
nonlinear
interactions,
ultimately
achieving
precise
classification
five
emotional
states
(relaxation,
surprise,
disgust,
fear,
neutral)
with
an
accuracy
98.9%.
Further
validation
independent
data
set
reveals
average
99.3%,
demonstrating
system's
robustness
reliability
real-world
applications.
This
work
provides
viable
technological
solution
real-time
monitoring,
offering
significant
potential
management
related
fields.
