ACS Applied Materials & Interfaces,
Год журнала:
2023,
Номер
15(18), С. 22553 - 22562
Опубликована: Апрель 26, 2023
The
ubiquitous
solid-liquid
systems
in
nature
usually
present
an
interesting
mechanical
property,
the
rate-dependent
stiffness,
which
could
be
exploited
for
impact
protection
flexible
systems.
Herein,
a
typical
natural
system,
durian
peel,
has
been
systematically
characterized
and
studied,
showing
dual-phase
cellular
structure.
A
bioinspired
design
of
impact-resistant
composites
is
then
proposed
by
combining
3D
lattices
shear
thickening
fluids.
resulting
offer,
simultaneously,
low
moduli
(e.g.,
71.9
kPa,
lower
than
those
many
reported
soft
composites)
under
quasi-static
conditions
excellent
energy
absorption
425.4
kJ/m3,
close
to
metallic
glass-based
lattices)
upon
dynamic
impact.
Numerical
simulations
based
on
finite
element
analyses
were
carried
out
understand
enhanced
buffering
developed
composites,
unveiling
lattice-guided
fluid-structure
interaction
mechanism.
Such
biomimetic
lattice-based
hold
promising
potential
development
next-generation
that
can
used
wearable
electronics
robotic
Nature Communications,
Год журнала:
2023,
Номер
14(1)
Опубликована: Сен. 26, 2023
Mechanical
metamaterials
enable
the
creation
of
structural
materials
with
unprecedented
mechanical
properties.
However,
thus
far,
research
on
has
focused
passive
and
tunability
their
Deep
integration
multifunctionality,
sensing,
electrical
actuation,
information
processing,
advancing
data-driven
designs
are
grand
challenges
in
community
that
could
lead
to
truly
intelligent
metamaterials.
In
this
perspective,
we
provide
an
overview
within
beyond
classical
functionalities.
We
discuss
various
aspects
approaches
for
inverse
design
optimization
multifunctional
Our
aim
is
new
roadmaps
discovery
next-generation
active
responsive
can
interact
surrounding
environment
adapt
conditions
while
inheriting
all
outstanding
features
Next,
deliberate
emerging
specific
functionalities
informative
scientific
devices.
highlight
open
ahead
metamaterial
systems
at
component
levels
transition
into
domain
application
capabilities.
Science,
Год журнала:
2024,
Номер
384(6699), С. 987 - 994
Опубликована: Май 30, 2024
Human
skin
sensing
of
mechanical
stimuli
originates
from
transduction
mechanoreceptors
that
converts
external
forces
into
electrical
signals.
Although
imitating
the
spatial
distribution
those
can
enable
developments
electronic
skins
capable
decoupled
normal/shear
and
strains,
it
remains
elusive.
We
report
a
three-dimensionally
(3D)
architected
(denoted
as
3DAE-Skin)
with
force
strain
components
arranged
in
3D
layout
mimics
Merkel
cells
Ruffini
endings
human
skin.
This
3DAE-Skin
shows
excellent
performances
normal
force,
shear
enables
development
tactile
system
for
simultaneous
modulus/curvature
measurements
an
object
through
touch.
Demonstrations
include
rapid
modulus
fruits,
bread,
cake
various
shapes
degrees
freshness.
Advanced Materials,
Год журнала:
2023,
Номер
36(14)
Опубликована: Дек. 26, 2023
Abstract
Transition
metal
carbides/nitrides
(MXenes)
demonstrate
a
massive
potential
in
constructing
lightweight,
multifunctional
wearable
electromagnetic
interference
(EMI)
shields
for
application
various
fields.
Nevertheless,
it
remains
challenging
to
develop
facile,
scalable
approach
prepare
the
MXene‐based
macrostructures
characterized
by
low
density,
thickness,
high
mechanical
flexibility,
and
EMI
SE
at
same
time.
Herein,
ultrathin
MXene/reduced
graphene
oxide
(rGO)/Ag
foams
with
porifera‐inspired
hierarchically
porous
microstructure
are
prepared
combining
Zn
2+
diffusion
induction
hard
template
methods.
The
hierarchical
porosity,
which
includes
mesoporous
skeleton
microporous
MXene
network
within
skeleton,
not
only
exerts
regulatory
effect
on
stress
distribution
during
compression,
making
rubber‐like
resistant
wrinkling
but
also
provides
more
channels
multiple
reflections
of
waves.
Due
interaction
between
Ag
nanosheets,
MXene/rGO,
structure,
is
possible
produce
an
outstanding
shielding
performance
specific
surface
effectiveness
reaching
109152.4
dB
cm
2
g
−1
.
Furthermore,
exhibit
multifunctionalities,
such
as
transverse
Joule
heating,
longitudinal
heat
insulation,
self‐cleaning,
fire
resistance,
motion
detection.
These
discoveries
open
up
novel
pathway
development
lightweight
materials
considerable
anti‐interference
devices.
Chemical Reviews,
Год журнала:
2023,
Номер
123(18), С. 11137 - 11189
Опубликована: Сен. 7, 2023
Architected
flexible
electronic
devices
with
rationally
designed
3D
geometries
have
found
essential
applications
in
biology,
medicine,
therapeutics,
sensing/imaging,
energy,
robotics,
and
daily
healthcare.
Mechanically-guided
assembly
methods,
exploiting
mechanics
principles
of
materials
structures
to
transform
planar
fabricated
using
mature
semiconductor
techniques
into
architected
ones,
are
promising
routes
such
devices.
Here,
we
comprehensively
review
mechanically-guided
methods
for
electronics.
Mainstream
classified
discussed
on
the
basis
their
fundamental
deformation
modes
(i.e.,
rolling,
folding,
curving,
buckling).
Diverse
interconnects
device
forms
then
summarized,
which
correspond
two
key
components
an
device.
Afterward,
structure-induced
functionalities
highlighted
provide
guidelines
function-driven
structural
designs
electronics,
followed
by
a
collective
summary
resulting
applications.
Finally,
conclusions
outlooks
given,
covering
achieve
extreme
deformations
dimensions,
inverse
design
encapsulation
strategies
as
well
perspectives
future
Applied Mechanics Reviews,
Год журнала:
2023,
Номер
75(6)
Опубликована: Июль 17, 2023
Abstract
For
many
decades,
experimental
solid
mechanics
has
played
a
crucial
role
in
characterizing
and
understanding
the
mechanical
properties
of
natural
novel
artificial
materials.
Recent
advances
machine
learning
(ML)
provide
new
opportunities
for
field,
including
design,
data
analysis,
uncertainty
quantification,
inverse
problems.
As
number
papers
published
recent
years
this
emerging
field
is
growing
exponentially,
it
timely
to
conduct
comprehensive
up-to-date
review
ML
applications
mechanics.
Here,
we
first
an
overview
common
algorithms
terminologies
that
are
pertinent
review,
with
emphasis
placed
on
physics-informed
physics-based
methods.
Then,
thorough
coverage
traditional
areas
mechanics,
fracture
biomechanics,
nano-
micromechanics,
architected
materials,
two-dimensional
Finally,
highlight
some
current
challenges
applying
multimodality
multifidelity
datasets,
quantifying
predictions,
proposing
several
future
research
directions.
This
aims
valuable
insights
into
use
methods
variety
examples
researchers
integrate
their
experiments.
The
adaptability
of
natural
organisms
in
altering
body
shapes
response
to
the
environment
has
inspired
development
artificial
morphing
matter.
These
materials
encode
ability
transform
their
geometrical
configurations
specific
stimuli
and
have
diverse
applications
soft
robotics,
wearable
electronics,
biomedical
devices.
However,
achieving
intricate
three-dimensional
from
a
two-dimensional
flat
state
is
challenging,
as
it
requires
manipulations
surface
curvature
controlled
manner.
In
this
review,
we
first
summarize
mechanical
principles
extensively
explored
for
realizing
matter,
both
at
material
structural
levels.
We
then
highlight
its
robotics
field.
Moreover,
offer
insights
into
open
challenges
opportunities
that
rapidly
growing
field
faces.
This
review
aims
inspire
researchers
uncover
innovative
working
create
multifunctional
matter
various
engineering
fields.
Sensors,
Год журнала:
2024,
Номер
24(10), С. 2958 - 2958
Опубликована: Май 7, 2024
Machine
learning
and
deep
technologies
are
rapidly
advancing
the
capabilities
of
sensing
technologies,
bringing
about
significant
improvements
in
accuracy,
sensitivity,
adaptability.
These
advancements
making
a
notable
impact
across
broad
spectrum
fields,
including
industrial
automation,
robotics,
biomedical
engineering,
civil
infrastructure
monitoring.
The
core
this
transformative
shift
lies
integration
artificial
intelligence
(AI)
with
sensor
technology,
focusing
on
development
efficient
algorithms
that
drive
both
device
performance
enhancements
novel
applications
various
engineering
fields.
This
review
delves
into
fusion
ML/DL
shedding
light
their
profound
design,
calibration
compensation,
object
recognition,
behavior
prediction.
Through
series
exemplary
applications,
showcases
potential
AI
to
significantly
upgrade
functionalities
widen
application
range.
Moreover,
it
addresses
challenges
encountered
exploiting
these
for
offers
insights
future
trends
advancements.
Chemical Reviews,
Год журнала:
2024,
Номер
124(20), С. 11585 - 11636
Опубликована: Окт. 11, 2024
Soft
robotics
presents
innovative
solutions
across
different
scales.
The
flexibility
and
mechanical
characteristics
of
soft
robots
make
them
particularly
appealing
for
wearable
implantable
applications.
scale
level
invasiveness
required
depend
on
the
extent
human
interaction.
This
review
provides
a
comprehensive
overview
robots,
including
applications
in
rehabilitation,
assistance,
organ
simulation,
surgical
tools,
therapy.
We
discuss
challenges
such
as
complexity
fabrication
processes,
integration
responsive
materials,
need
robust
control
strategies,
while
focusing
advances
actuation
sensing
mechanisms,
techniques.
Finally,
we
future
outlook,
highlighting
key
proposing
potential
solutions.