Physics of Fluids,
Journal Year:
2025,
Volume and Issue:
37(2)
Published: Feb. 1, 2025
Pipeline
hydraulic
transportation
is
the
primary
method
for
transporting
deep-sea
mineral
resources
and
fossil
fuels.
blockage
often
causes
excessive
pressure
in
pipeline,
leading
to
pipeline
breakage
or
even
cargo
leakage,
which
severely
impacts
safety
can
easily
trigger
secondary
disasters.
Therefore,
clarifying
global
flow
field
within
pipelines,
such
as
particle
distribution,
crucial
monitoring
controlling
systems.
This
study
uses
a
limited
number
of
measurable
wall
sensor
values
inputs
deep
learning
models
reconstruction,
with
solid–liquid
two-phase
three-dimensional
output.
Three
model
frameworks
from
existing
studies
are
summarized,
their
reconstruction
effects
compared.
Based
on
this,
new
framework
proposed.
It
expands
low-dimensional
same
size
using
pseudo-decoder
then
processes
them
through
an
autoencoder.
The
results
indicate
that
achieves
further
accuracy
improvements
compared
previous
three
frameworks,
R2
mean
squared
error
reaching
0.933
5.13
×10−4,
respectively.
Additionally,
skip
connection
configuration
model,
dataset
size,
rate,
well
arrangement
sensors
accuracy,
investigated.
Finally,
transferability
demonstrated
by
reconstructing
fluid
velocity
fields
flow.
Soft Science,
Journal Year:
2024,
Volume and Issue:
4(3)
Published: June 12, 2024
The
lack
of
infrastructure
and
accessibility
in
medical
treatments
has
been
considered
as
a
global
chronic
issue
since
the
concept
treatment
prevention
was
presented.
After
COVID-19
pandemic,
reaction
capability
for
epidemic
outbreak/spread
spotlighted
critical
to
fore
worldwide.
To
reduce
burden
on
system
from
simultaneous
disease
emergence,
personalized
wearable
electronic
systems
have
arisen
next-generation
biomedical
monitoring/treating
equipment
infectious
diseases
at
initial
stage.
In
particular,
skin
(e-skin)
with
its
potential
multifunctional
extendibility
enabled
be
applied
long-term
healthcare
devices
real-time
biosignal
sensing.
Here,
we
introduce
recent
enhancements
various
e-skin
applications
terms
material
types
device
structures,
including
sensor
components,
biological
signal
sensing
mechanisms,
applicable
technological
advancements,
utilization.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 3, 2024
Abstract
Silk
nanofibers
(SNFs)
from
abundant
sources
are
low‐cost
and
environmentally
friendly.
Combined
with
other
functional
materials,
SNFs
can
help
create
bioelectronics
excellent
biocompatibility
without
environmental
concerns.
However,
it
is
still
challenging
to
construct
an
SNF‐based
composite
high
conductivity,
flexibility,
mechanical
strength
for
all
electronics.
Herein,
this
work
reports
the
design
fabrication
of
Ti
3
C
2
T
x
‐silver@silk
(Ti3C2Tx‐Ag@SNF)
composites
multi‐dimensional
heterogeneous
conductive
networks
using
combined
in
situ
growth
vacuum
filtration
methods.
The
ultrahigh
electrical
conductivity
‐Ag@SNF
(142959
S
m
−1
)
provides
kirigami‐patterned
soft
heaters
a
rapid
heating
rate
87
°C
s
.
network
further
allows
creation
electromagnetic
interference
shielding
devices
exceptionally
specific
effectiveness
10,088
dB
cm
Besides
working
as
triboelectric
layer
harvest
energy
recognize
hand
gesture,
also
be
ionic
result
capacitive
pressure
sensor
sensitivity
410
kPa
large
range
due
electronic‐double
effect.
applications
recognizing
human
gestures
human‐machine
interfaces
wirelessly
control
trolley
demonstrate
future
development
IEEE Sensors Journal,
Journal Year:
2024,
Volume and Issue:
24(16), P. 25227 - 25248
Published: Aug. 15, 2024
In
recent
years,
pressure
sensors
have
been
widely
used
as
crucial
technology
components
in
industrial,
healthcare,
consumer
electronics,
and
automotive
safety
applications.
With
the
development
of
intelligent
technologies,
there
is
a
growing
demand
for
with
higher
sensitivity,
smaller
size,
wider
detection
range.
Graphene
its
derivatives,
novel
emerging
materials
received
widespread
attention
from
researchers
due
to
their
unique
mechanical
electrical
properties,
are
considered
promising
sensing
high-performance
sensors.
general,
graphene-based
can
be
classified
into
flexible
gas
this
paper,
we
firstly
introduce
basic
properties
graphene
derivatives
then
review
research
progress
both
respectively,
focusing
on
different
mechanisms.
Finally,
application
prospects
well
future
challenges
discussed.
iScience,
Journal Year:
2025,
Volume and Issue:
28(2), P. 111737 - 111737
Published: Jan. 2, 2025
Most
wearable
biosensors
struggle
to
balance
flexibility
and
conductivity
in
their
sensing
interfaces.
In
this
study,
we
propose
a
sensor
featuring
highly
stretchable,
three-dimensional
conductive
network
structure
based
on
liquid
metal.
The
interface
utilizes
patterned
Ga@MXene
hydrogel
system,
where
gallium
(Ga)
grafted
onto
MXene
provides
enhanced
electrical
malleability.
excellent
layered
structure.
Additionally,
the
chitosan
(CS)
hydrogel,
with
its
superior
water
absorption
stretchability,
allows
electrode
retain
sweat
closely
stick
skin.
demonstrates
low
limit
of
detection
(0.77
μM),
high
sensitivity
(1.122
μA⋅μM⁻1⋅cm⁻2),
broad
range
(10-1,000
meeting
requirements
for
wide
applications.
Notably,
can
also
induce
perspiration
wearer.
porous
Ga@MXene/CS
biosensor
ensures
flexibility,
making
it
suitable
variety
