Advanced Materials,
Год журнала:
2024,
Номер
36(26)
Опубликована: Март 30, 2024
A
type
of
copper-nanocluster-polymer
composites
is
reported
and
showcased
that
their
3D
nanolattices
exhibit
a
superior
combination
high
strength,
toughness,
deformability,
resilience,
damage-tolerance.
Notably,
the
strength
toughness
ultralight
in
some
cases
surpass
current
best
performers,
including
alumina,
nickel,
other
ceramic
or
metallic
lattices
at
low
densities.
Additionally,
are
super-resilient,
crack-resistant,
one-step
printed
under
ambient
condition
which
can
be
easily
integrated
into
sophisticated
microsystems
as
highly
effective
internal
protectors.
The
findings
suggest
that,
unlike
traditional
nanocomposites,
laser-induced
interface
fraction
ultrasmall
Cu
Advanced Materials,
Год журнала:
2023,
Номер
35(45)
Опубликована: Июнь 19, 2023
Abstract
Mechanical
metamaterials
are
meticulously
designed
structures
with
exceptional
mechanical
properties
determined
by
their
microstructures
and
constituent
materials.
Tailoring
material
geometric
distribution
unlocks
the
potential
to
achieve
unprecedented
bulk
functions.
However,
current
metamaterial
design
considerably
relies
on
experienced
designers'
inspiration
through
trial
error,
while
investigating
responses
entails
time‐consuming
testing
or
computationally
expensive
simulations.
Nevertheless,
recent
advancements
in
deep
learning
have
revolutionized
process
of
metamaterials,
enabling
property
prediction
geometry
generation
without
prior
knowledge.
Furthermore,
generative
models
can
transform
conventional
forward
into
inverse
design.
Many
studies
implementation
highly
specialized,
pros
cons
may
not
be
immediately
evident.
This
critical
review
provides
a
comprehensive
overview
capabilities
prediction,
generation,
metamaterials.
Additionally,
this
highlights
leveraging
create
universally
applicable
datasets,
intelligently
intelligence.
article
is
expected
valuable
only
researchers
working
but
also
those
field
materials
informatics.
Compared
with
the
forward
design
method
through
control
of
geometric
parameters
and
material
types,
inverse
based
on
target
stress-strain
curve
is
helpful
for
discovery
new
structures.
This
study
proposes
an
optimization
strategy
mechanical
metamaterials
a
genetic
algorithm
establishes
topology
energy-absorbing
structures
desired
curves.
A
series
structural
mutation
algorithms
design-domain-independent
mesh
generation
are
developed
to
improve
efficiency
finite
element
analysis
iteration.
The
realizes
ideal
structures,
which
verified
by
additive
manufacturing
experimental
characterization.
error
between
designed
structure
less
than
5%,
densification
strain
reaches
0.6.
Furthermore,
special
attention
paid
passive
pedestrian
protection
occupant
protection,
reasonable
solution
given
multiplatform
structure.
proposed
framework
provides
path
elastic-plastic
large
deformation
problem
that
unable
be
resolved
using
classical
gradient
or
algorithms,
simplifies
process
metamaterials.
Advanced Materials,
Год журнала:
2023,
Номер
36(8)
Опубликована: Дек. 5, 2023
Abstract
Metamaterials
are
artificial
materials
designed
to
exhibit
effective
material
parameters
that
go
beyond
those
found
in
nature.
Composed
of
unit
cells
with
rich
designability
assembled
into
multiscale
systems,
they
hold
great
promise
for
realizing
next‐generation
devices
exceptional,
often
exotic,
functionalities.
However,
the
vast
design
space
and
intricate
structure–property
relationships
pose
significant
challenges
their
design.
A
compelling
paradigm
could
bring
full
potential
metamaterials
fruition
is
emerging:
data‐driven
This
review
provides
a
holistic
overview
this
rapidly
evolving
field,
emphasizing
general
methodology
instead
specific
domains
deployment
contexts.
Existing
research
organized
modules,
encompassing
data
acquisition,
machine
learning‐based
cell
design,
optimization.
The
approaches
further
categorized
within
each
module
based
on
shared
principles,
analyze
compare
strengths
applicability,
explore
connections
between
different
identify
open
questions
opportunities.
Science,
Год журнала:
2023,
Номер
382(6675), С. 1148 - 1155
Опубликована: Дек. 7, 2023
Volumetric
printing,
an
emerging
additive
manufacturing
technique,
builds
objects
with
enhanced
printing
speed
and
surface
quality
by
forgoing
the
stepwise
ink-renewal
step.
Existing
volumetric
techniques
almost
exclusively
rely
on
light
energy
to
trigger
photopolymerization
in
transparent
inks,
limiting
material
choices
build
sizes.
We
report
a
self-enhancing
sonicated
ink
(or
sono-ink)
design
corresponding
focused-ultrasound
writing
technique
for
deep-penetration
acoustic
(DAVP).
used
experiments
modeling
study
frequency
scanning
rate-dependent
behaviors.
DAVP
achieves
key
features
of
low
streaming,
rapid
sonothermal
polymerization,
large
depth,
enabling
hydrogels
nanocomposites
various
shapes
regardless
their
optical
properties.
also
allows
at
centimeter
depths
through
biological
tissues,
paving
way
toward
minimally
invasive
medicine.
Science,
Год журнала:
2025,
Номер
387(6731), С. 269 - 277
Опубликована: Янв. 16, 2025
Architected
materials
derive
their
properties
from
the
geometric
arrangement
of
internal
structural
elements.
Their
designs
rely
on
continuous
networks
members
to
control
global
mechanical
behavior
bulk.
In
this
study,
we
introduce
a
class
that
consist
discrete
concatenated
rings
or
cage
particles
interlocked
in
three-dimensional
networks,
forming
polycatenated
architected
(PAMs).
We
propose
general
design
framework
translates
arbitrary
crystalline
into
particle
concatenations
and
geometries.
response
small
external
loads,
PAMs
behave
like
non-Newtonian
fluids,
showing
both
shear-thinning
shear-thickening
responses,
which
can
be
controlled
by
catenation
topologies.
At
larger
strains,
lattices
foams,
with
nonlinear
stress-strain
relation.
microscale,
demonstrate
change
shapes
applied
electrostatic
charges.
The
distinctive
pave
path
for
developing
stimuli-responsive
materials,
energy-absorbing
systems,
morphing
architectures.
