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.
Advanced Materials,
Год журнала:
2024,
Номер
36(31)
Опубликована: Май 17, 2024
Abstract
Electronic
skin
(e‐skin),
a
skin‐like
wearable
electronic
device,
holds
great
promise
in
the
fields
of
telemedicine
and
personalized
healthcare
because
its
good
flexibility,
biocompatibility,
conformability,
sensing
performance.
E‐skin
can
monitor
various
health
indicators
human
body
real
time
over
long
term,
including
physical
(exercise,
respiration,
blood
pressure,
etc.)
chemical
(saliva,
sweat,
urine,
etc.).
In
recent
years,
development
materials,
analysis,
manufacturing
technologies
has
promoted
significant
e‐skin,
laying
foundation
for
application
next‐generation
medical
devices.
Herein,
properties
required
e‐skin
monitoring
devices
to
achieve
long‐term
precise
summarize
several
detectable
field
are
discussed.
Subsequently,
applications
integrated
systems
reviewed.
Finally,
current
challenges
future
directions
this
This
review
is
expected
generate
interest
inspiration
improvement
systems.
Advanced Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 21, 2024
Lignocellulose-mediated
liquid
metal
(LM)
composites,
as
emerging
functional
materials,
show
tremendous
potential
for
a
variety
of
applications.
The
abundant
hydroxyl,
carboxyl,
and
other
polar
groups
in
lignocellulose
facilitate
the
formation
strong
chemical
bonds
with
LM
surfaces,
enhancing
wettability
adhesion
improved
interface
compatibility.
Beyond
serving
supportive
matrix,
can
be
tailored
to
optimize
microstructure
adapting
them
diverse
This
review
comprehensively
summarizes
fundamental
principles
recent
advancements
lignocellulose-mediated
highlighting
advantages
composite
fabrication,
including
facile
synthesis,
versatile
interactions,
inherent
functionalities.
Key
modulation
strategies
LMs
innovative
synthesis
methods
functionalized
composites
are
discussed.
Furthermore,
roles
structure-performance
relationships
these
electromagnetic
shielding,
flexible
sensors,
energy
storage
devices
systematically
summarized.
Finally,
obstacles
prospective
pertaining
thoroughly
scrutinized
deliberated
upon.
is
expected
provide
basic
guidance
researchers
boost
popularity
applications
useful
references
design
state-of-the-art
LMs.
Advanced Functional Materials,
Год журнала:
2024,
Номер
34(44)
Опубликована: Июнь 22, 2024
Abstract
Tactile
sensors
have
garnered
considerable
interest
for
their
capacity
to
detect
and
quantify
tactile
information.
The
incorporation
of
microstructural
designs
into
flexible
has
emerged
as
a
potent
strategy
augment
sensitivity
pressure
variations,
thereby
enhancing
linearity,
response
spectrum,
mechanical
robustness.
This
review
underscores
the
imperative
progress
in
microstructured
sensors.
Subsequently,
discourse
transitions
prevalent
materials
employed
fabrication
sensor
electrodes,
encapsulation
layers,
active
sensing
mediums,
elucidating
merits
limitations.
In‐depth
discussions
are
devoted
adorned
with
microstructures,
including
but
not
limited
to,
micropyramids,
microhemispheres,
micropillars,
microporous
configurations,
microcracks,
topological
interconnections,
multilevel
constructs,
random
roughness,
biomimetic
microstructures
inspired
by
flora
fauna,
accompanied
exemplar
studies
from
each
category.
Moreover,
utility
within
realm
intelligent
environments
is
explicated,
highlighting
application
monitoring
physiological
signals,
detection
sliding
motions,
discernment
surface
textures.
culminates
critical
examination
paramount
challenges
predicaments
that
must
be
surmounted
further
development
enhance
functional
performance
sensors,
paving
way
integration
advanced
sensory
systems.
ACS Nano,
Год журнала:
2024,
Номер
18(36), С. 24705 - 24740
Опубликована: Авг. 26, 2024
The
gradual
rise
of
personal
healthcare
awareness
is
accelerating
the
deployment
wearable
sensors,
whose
ability
acquiring
physiological
vital
signs
depends
on
sensing
materials.
MXenes
have
distinct
chemical
and
physical
superiorities
over
other
2D
nanomaterials
for
sensors.
This
review
presents
a
comprehensive
summary
latest
advancements
in
MXenes-based
materials
It
begins
with
an
introduction
to
special
structural
features
performance,
followed
by
in-depth
exploration
versatile
functionalities.
A
detailed
description
different
mechanisms
also
included
illustrate
contribution
performance
its
improvement.
In
addition,
real-world
applications
sensors
monitoring
are
as
well.
remaining
challenges
their
promising
opportunities
finally
narrated,
conjunction
prospective
future
development.
Advanced Healthcare Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 17, 2024
Abstract
The
rapid
advancements
in
artificial
intelligence,
micro‐nano
manufacturing,
and
flexible
electronics
technology
have
unleashed
unprecedented
innovation
opportunities
for
applying
sensors
healthcare,
wearable
devices,
human–computer
interaction.
human
body's
tactile
perception
involves
physical
parameters
such
as
pressure,
temperature,
humidity,
all
of
which
play
an
essential
role
maintaining
health.
Inspired
by
the
sensory
function
skin,
many
bionic
been
developed
to
simulate
skin's
various
stimuli
are
widely
applied
health
monitoring.
Given
urgent
requirements
sensing
performance
integration
field
devices
monitoring,
here
is
a
timely
overview
recent
advances
multi‐functional
It
covers
fundamental
components
categorizes
them
based
on
different
response
mechanisms,
including
resistive,
capacitive,
voltage,
other
types.
Specifically,
application
these
area
monitoring
highlighted.
Based
this,
extended
dual/triple‐mode
integrating
temperature
presented.
Finally,
challenges
discussed.
Hydrogel-based
sensors
have
been
widely
studied
for
perceiving
the
environment.
However,
simplest
type
of
resistive
still
lacks
sensitivity
to
localized
strain
and
other
extractable
data.
Enhancing
their
expanding
functionality
perceive
multiple
stimuli
simultaneously
are
highly
beneficial
yet
require
optimal
material
design
proper
testing
methods.
Herein,
we
report
a
elastic,
sponge-like
hydrogel
its
derived
multimodal
iontronic
sensor.
By
unidirectional
freeze
casting
poly(vinyl
alcohol)
(PVA)
with
electrospun
cellulose
nanofibers
(CNF),
hierarchical
structure
aligned
PVA
channels
supported
by
interlaced
CNF
tangles
is
created.
The
ensures
both
efficient
mass
transport
good
elasticity,
enhancing
reversible
compressibility
ionic
conductivity.
Combining
this
sponge
impedance-based
measurement
methods
allows
development
capable
detecting
local
strain,
position,
object-in-contact.
Integrating
these
sensing
capabilities,
two-dimensional
small
motion
monitor,
3D
input
interface,
identification
gripper
demonstrated.
This
study
provides
simple
approach
versatile
sensors.
Advanced Functional Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 21, 2025
Abstract
Wearable
sensor
has
attracted
a
broad
interesting
in
application
prospect
of
human‐machine
interaction
(HMI).
However,
most
sensors
are
assembled
the
shape
gloves
to
accurately
capture
complex
hand
motion
information,
thereby
seriously
blocking
complete
tasks.
Herein,
wearable
pressure
based
on
drum‐structured
triboelectric
nanogenerator
(DS‐TENG)
is
developed
subtle
signals
for
physiological
signal
detection,
information
encoding,
gesture
recognition,
and
wireless
real‐time
robot
control.
The
DS‐TENG
enables
limit
detection
down
3.9
Pa
pressure,
which
can
sensitively
human
micromotion
pulse,
throat
sounds,
wrist
muscles
contraction.
Especially,
combined
with
microprocessor
Morse
code,
worn
detect
single‐finger
translate
into
regular
voltage
signals,
employed
encode
26
letters
subsequently
decode
corresponding
letters.
Furthermore,
an
aid
machine
learning,
array
(2
×
2)
successfully
achieve
recognition
high
accuracy
92%
wirelessly
perform
Consequently,
encoding
control,
demonstrates
extreme
potential
field
HMI
artificial
intelligence.
