ACS Applied Materials & Interfaces,
Journal Year:
2025,
Volume and Issue:
17(9), P. 13302 - 13323
Published: Feb. 19, 2025
Aerogels
have
attracted
great
attention
in
the
academic
and
industrial
fields
due
to
their
intrinsic
low
density,
high
porosity,
specific
surface
area.
As
an
ideal
nanobuilding
block
for
advanced
aerogels,
research
community
has
shown
a
strong
interest
aramid
nanofiber
(ANF)
aerogel
materials
applications
frontier
fields.
However,
there
is
lack
of
comprehensive
review
basic
development
practical
pure
ANF
aerogels
regarding
these
latest
achievements
past
decade.
This
aims
fill
this
gap
by
comprehensively
exploring
preparation,
properties,
application
progress,
challenges,
prospects
aerogels.
We
begin
with
summary
rheological
principles
dispersions,
different
preparation
strategies,
drying
methods
Then,
unique
properties
various
morphologies
outstanding
advantages
based
on
are
critically
reviewed.
Besides,
progress
multifunctional
flexible
thermal
insulation,
environmental
protection,
energy
storage,
other
summarized.
Finally,
we
explore
main
challenges
give
insights
further
promotion
from
lab-scale
industry-scale.
Advanced Nanocomposites,
Journal Year:
2023,
Volume and Issue:
1(1), P. 52 - 76
Published: Nov. 29, 2023
With
the
increasing
popularity
of
electronic
devices
and
wireless
technology,
issue
electromagnetic
interference
(EMI)
has
attracted
widespread
attention
all
over
world.
In
response
to
this
challenge,
it
is
great
significance
develop
novel
EMI
shielding
composites
with
high
absorption
performance.
recent
years,
2D
MXene
series
nanomaterials
have
gained
prominence
in
field
due
their
remarkable
electrical
conductivity,
mechanical
strength,
chemically
active
surfaces.
Herein,
we
review
progress
on
polymer/MXene
composites.
Firstly,
preparation
method
nanosheets
mechanism
experimental
calculation
are
introduced,
then
main
structural
design
ideas
corresponding
methods
composite
materials
objectively
summarized,
advantages
disadvantages
applications
analyzed.
Finally,
highlights
current
challenges
faced
by
puts
forth
innovative
concepts
for
development
next-generation
high-performance
materials.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: June 1, 2024
Abstract
Designing
ultralight
conductive
aerogels
with
tailored
electrical
and
mechanical
properties
is
critical
for
various
applications.
Conventional
approaches
rely
on
iterative,
time-consuming
experiments
across
a
vast
parameter
space.
Herein,
an
integrated
workflow
developed
to
combine
collaborative
robotics
machine
learning
accelerate
the
design
of
programmable
properties.
An
automated
pipetting
robot
operated
prepare
264
mixtures
Ti
3
C
2
T
x
MXene,
cellulose,
gelatin,
glutaraldehyde
at
different
ratios/loadings.
After
freeze-drying,
aerogels’
structural
integrity
evaluated
train
support
vector
classifier.
Through
8
active
cycles
data
augmentation,
162
unique
are
fabricated/characterized
via
robotics-automated
platforms,
enabling
construction
artificial
neural
network
prediction
model.
The
model
conducts
two-way
tasks:
(1)
predicting
physicochemical
from
fabrication
parameters
(2)
automating
inverse
specific
property
requirements.
combined
use
interpretation
finite
element
simulations
validates
pronounced
correlation
between
aerogel
density
compressive
strength.
model-suggested
high
conductivity,
customized
strength,
pressure
insensitivity
allow
compression-stable
Joule
heating
wearable
thermal
management.
