Polymers,
Journal Year:
2024,
Volume and Issue:
16(23), P. 3307 - 3307
Published: Nov. 27, 2024
In
this
paper,
we
prepared
carbon
nanotube
(CNT)
epoxy
composite
films
and
conducted
tensile
experiments
at
various
temperatures
(−40
°C,
−10
20
50
°C)
frequencies
(1
Hz,
10
Hz)
using
Dynamic
Mechanical
Analysis
(DMA).
This
study
reveals
the
effects
of
temperature
frequency
on
mechanical
properties
CNT
films.
The
results
indicate
that
energy
storage
modulus
pure
film
is
approximately
13
times
greater
than
material
°C.
Additionally,
loss
factor
about
25
resin
7
film.
These
findings
suggest
presence
reduces
elastic
deformation
capacity
while
enhancing
its
damping
properties.
composites
varying
investigated
in
work
offer
valuable
insights
for
future
applications
studies
diverse
environments.
Machine
learning
(ML),
as
an
advanced
data
analysis
tool,
simulates
the
process
of
human
brain,
enabling
extraction
features,
discovery
patterns,
and
making
accurate
predictions
or
decisions
from
complex
data.
In
field
nanomaterial
design,
application
ML
technology
not
only
accelerates
performance
optimization
nanomaterials
but
also
promotes
innovation
materials
science
research
methods.
Bibliometrics,
a
method
based
on
quantitative
analysis,
provides
us
with
macro
perspective
to
observe
understand
in
design
by
statistically
analyzing
various
indicators
scientific
literature.
This
paper
quantitatively
analyzes
literature
related
ML-driven
seven
dimensions,
revealing
importance
necessity
design.
It
systematically
diversified
applications
combination
suitable
algorithms
being
key
enhancing
nanomaterials.
addition,
this
discusses
current
challenges
future
development
directions,
including
quality
set
construction,
algorithm
optimization,
deepening
interdisciplinary
cooperation.
review
researchers
state
trends
ideas
suggestions
for
research.
is
significant
value
promoting
progress
fostering
in-depth
research,
accelerating
innovative
material
technologies.
Materials,
Journal Year:
2025,
Volume and Issue:
18(3), P. 479 - 479
Published: Jan. 21, 2025
The
energy
generated
by
the
impact
of
vibrations
from
industrial
tools
or
ongoing
activities
can
be
transmitted
to
humans
and
cause
various
injuries.
Knitted
materials
considered
as
parts
anti-vibration
equipment
they
have
proven
their
ability
absorb
shocks.
In
this
study,
six
spacer
knitted
fabrics
consisting
two
outer
layers
cotton
yarns
(Nm
1/50
Nm
1/40)
cashmere
2/56)
connected
PES
monofilaments
with
a
diameter
0.08
mm
were
tested.
To
date,
use
natural
in
used
environments
subject
vibration
has
been
less
studied.
first
part
experiments
deals
measurement
frequencies
materials,
which
determined
using
free
method.
results
show
that
direction
experiment,
yarn
count,
stitch
density,
thickness
material
influence
value
frequencies.
These
values
are
relevant
order
avoid
undesirable
resonances
occur
when
excitation
frequency
an
external
system
overlaps
material.
second
part,
transmissibility
was
simulated
one
degree
freedom.
composed
had
highest
damping
capacity
specific
coefficient
lowest
for
transmission,
make
them
recommendable
protective
materials.
Advanced Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 22, 2025
Abstract
High‐performance
flexible
pressure
sensors
are
crucial
for
applications
such
as
wearable
electronics,
interactive
systems,
and
healthcare
technologies.
Among
these,
iontronic
have
garnered
particular
attention
due
to
their
superior
sensitivity,
enabled
by
the
giant
capacitance
variation
of
electric
double
layer
(EDL)
at
ionic‐electronic
interface
under
deformation.
Key
advancements,
incorporating
microstructures
into
ionic
layers
employing
diverse
materials,
significantly
improved
sensor
properties
like
accuracy,
stability,
response
time.
This
review
highlights
advancements
in
EDL
sensors,
focusing
on
structural
designs
material
engineering.
These
strategies
tailored
optimize
key
metrics
detection
limit,
linearity,
speed,
hysteresis,
transparency,
wearability,
selectivity,
multifunctionality.
fabrication
techniques,
including
micropatterning
externally
assisted
methods,
reviewed,
along
with
comparison
guidelines
selecting
appropriate
sensors.
Emerging
healthcare,
environmental
aerodynamic
sensing,
human–machine
interaction,
robotics,
machine
learning‐assisted
intelligent
sensing
explored.
Finally,
this
discusses
challenges
future
directions
advancing
EDL‐based
Advanced Theory and Simulations,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 30, 2025
Abstract
Silicone‐ethanol
actuator
is
a
new
type
of
artificial
muscle
that
expands
and
contracts
based
on
the
switching
ethanol
phase
between
liquid
gas
states
within
elastomeric
matrix.
However,
there
lack
accurate
ranking
parameters
affect
its
performance.
This
research
uses
cutting‐edge
statistical
qualitative
methods
to
rank
behavioral
characteristics
this
actuator.
In
research,
effect
power
intensity
performance
structural
changes
silicone‐ethanol
investigated,
for
first
time.
It
found
use
more
intense
increased
response
speed
actuator,
but
also
intensifies
damage.
Also,
results
show
energy
temperature
are
most
crucial
variables
in
predicting
dynamic
behavior
while
content
applied
important
functional
long
term.
hoped
scientific
approach
will
be
leveraged
distinguish
real
from
dummy
indices
other
newfound
smart
materials,
where
no
complete
knowledge
their
governing
physical
chemical
equations.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(4), P. 1569 - 1569
Published: Feb. 14, 2025
The
Qinling
Mountains
in
central
China
are
rich
polymetallic
mineralizations
(e.g.,
Pb-Zn-Au
deposits),
and
historic
mining
has
resulted
large
amounts
of
heavy
metals
being
released
into
the
environment.
Thus,
it
is
important
to
evaluate
ecological
risk
triggered
by
at
this
location.
In
work,
a
gold
mine
was
investigated
as
case
study
better
understand
health
risks
present
Mountains.
To
address
issue,
total
84
soil
samples
23
surface
water
were
collected
from
district.
Major
trace
elements
soils,
coupled
with
pH
SO4−2
contents
samples,
analyzed.
multivariate
statistical
analysis
shows
that
human
activities
found
have
significant
impact
on
levels
As,
Hg,
Cd),
pH,
within
area,
coefficient
variation
for
all
indicators
falls
medium
high
range
(0.20–2.73).
maximum
concentration
Cd
can
reach
3005
mg·kg−1.
spatial
distribution
its
isotope
signatures
indicate
sedimentation
ponds
slag
piles
primary
sources
pollution
metal
concentrations
decreasing
gradually
they
disperse
surrounding
cultivated
areas.
confirms
isotopes
be
directly
used
track
over
area
(0.8
km2),
conclusions
drawn
could
valuable
future
restoration
management
efforts.
Simultaneously,
approach
offer
novel
framework
contamination
soils
other
sites.
