Advanced Materials,
Год журнала:
2023,
Номер
36(6)
Опубликована: Окт. 30, 2023
Abstract
Practical
applications
of
mechanical
metamaterials
often
involve
solving
inverse
problems
aimed
at
finding
microarchitectures
that
give
rise
to
certain
properties.
The
limited
resolution
additive
manufacturing
techniques
requires
such
for
specific
specimen
sizes.
Moreover,
the
candidate
should
be
resistant
fatigue
and
fracture.
Such
a
multi‐objective
design
problem
is
formidably
difficult
solve
but
its
solution
key
real‐world
metamaterials.
Here,
modular
approach
titled
“Deep‐DRAM”
combines
four
decoupled
models
proposed,
including
two
deep
learning
(DL)
models,
generative
model
based
on
conditional
variational
autoencoders,
direct
finite
element
(FE)
simulations.
Deep‐DRAM
integrates
these
into
framework
capable
many
solutions
posed
random‐network
unit
cells.
Using
an
extensive
set
simulations
as
well
experiments
performed
3D
printed
specimens,
it
demonstrate
that:
1)
predictions
DL
are
in
agreement
with
FE
experimental
observations,
2)
enlarged
envelope
achievable
elastic
properties
(e.g.,
rare
combinations
double
auxeticity
high
stiffness)
realized
using
proposed
approach,
3)
can
provide
considered
problem.
Materials Today Advances,
Год журнала:
2022,
Номер
13, С. 100206 - 100206
Опубликована: Янв. 13, 2022
Architected
metamaterials
are
built
upon
the
assembly
of
repeating
cellular
structures,
exhibiting
unprecedented
mechanical
properties
attributed
to
tunability
geometries.
They
have
demonstrated
a
wide
range
applications
in
optical
and
electromagnetic
fields,
recently
they
employed
as
advanced
tissue
engineering
scaffolds.
The
microgeometry-driven
strategy
enlarges
design
domain
scaffold
features
enables
more
accurate
manipulation
cell-material
interactions.
In
this
review,
we
introduce
most
popular
metamaterial
designs
biomedical
summarize
their
representative
fabricate
vitro
models
vivo
implants.
These
studies
validate
unique
advantages
supporting
mechanobiological
improving
functionality
replacements.
Nevertheless,
evolution
meta-biomaterials
requires
detailed
investigations
relationship
between
structural
cell
phenotypes
well
theoretical
models.
Journal of Nanobiotechnology,
Год журнала:
2022,
Номер
20(1)
Опубликована: Фев. 5, 2022
Abstract
Background
Femoral
stem
of
titanium
alloy
has
been
widely
used
for
hip
arthroplasty
with
considerable
efficacy;
however,
the
application
this
implant
in
patients
osteoporosis
is
limited
due
to
excessive
bone
resorption.
Macrophages
participate
regulation
inflammatory
response
and
have
a
topic
increasing
research
interest
field.
However,
few
study
explored
link
between
macrophage
polarization
osteogenic–osteoclastic
differentiation.
The
present
aims
develop
novel
hierarchical
biofunctionalized
3D-printed
porous
Ti6Al4V
scaffold
enhanced
osteoporotic
osseointegration
through
immunotherapy.
Method
To
improve
osteointegration
under
osteoporosis,
we
developed
(PT).
Biomimetic
extracellular
matrix
(ECM)
was
constructed
inside
interconnected
pores
PT
micro-scale.
And
nano-scale,
drug
cargo
icariin@Mg-MOF-74
(ICA@MOF)
wrapped
ECM-like
structure
that
can
control
release
icariin
Mg
2+
.
Results
In
scaffold,
macroporous
provides
mechanical
support,
microporous
facilitates
cell
adhesion
enhances
biocompatibility,
nanostructure
plays
biological
effect.
We
also
demonstrate
formation
abundant
new
at
peripheral
internal
sites
after
intramedullary
implantation
into
distal
femur
rats.
further
find
controlled-release
from
significantly
M0
macrophages
M2-type
by
inhibiting
notch1
signaling
pathway
induce
secretion
anti-inflammatory
cytokines;
thus,
it
ameliorates
metabolism,
which
contributes
improving
bone.
Conclusion
therapeutic
potential
implants
containing
controlled
system
are
effective
geriatric
orthopaedic
osseointegration.
Graphical
Coatings,
Год журнала:
2022,
Номер
12(10), С. 1380 - 1380
Опубликована: Сен. 21, 2022
Various
types
of
materials
have
been
traditionally
used
to
restore
damaged
bones.
In
the
late
1960s,
a
strong
interest
was
raised
in
studying
ceramics
as
potential
bone
grafts
due
their
biomechanical
properties.
A
short
time
later,
such
synthetic
biomaterials
were
called
bioceramics.
Bioceramics
can
be
prepared
from
diverse
inorganic
substances,
but
this
review
is
limited
calcium
orthophosphate
(CaPO4)-based
formulations
only,
its
chemical
similarity
mammalian
bones
and
teeth.
During
past
50
years,
there
number
important
achievements
field.
Namely,
after
initial
development
bioceramics
that
just
tolerated
physiological
environment,
an
emphasis
shifted
towards
able
form
direct
bonds
with
adjacent
Afterwards,
by
structural
compositional
controls,
it
became
possible
choose
whether
CaPO4-based
implants
would
remain
biologically
stable
once
incorporated
into
skeletal
structure
or
they
resorbed
over
time.
At
turn
millennium,
new
concept
regenerative
developed,
integrated
part
tissue
engineering
approach.
Now,
scaffolds
are
designed
induce
formation
vascularization.
These
usually
porous
harbor
various
biomolecules
and/or
cells.
Therefore,
current
biomedical
applications
include
artificial
grafts,
augmentations,
maxillofacial
reconstruction,
spinal
fusion,
periodontal
disease
repairs,
well
fillers
tumor
surgery.
Prospective
future
comprise
drug
delivery
purposes
because
CaPO4
appear
promising
carriers
growth
factors,
bioactive
peptides,
Advanced Materials,
Год журнала:
2023,
Номер
36(6)
Опубликована: Окт. 30, 2023
Abstract
Practical
applications
of
mechanical
metamaterials
often
involve
solving
inverse
problems
aimed
at
finding
microarchitectures
that
give
rise
to
certain
properties.
The
limited
resolution
additive
manufacturing
techniques
requires
such
for
specific
specimen
sizes.
Moreover,
the
candidate
should
be
resistant
fatigue
and
fracture.
Such
a
multi‐objective
design
problem
is
formidably
difficult
solve
but
its
solution
key
real‐world
metamaterials.
Here,
modular
approach
titled
“Deep‐DRAM”
combines
four
decoupled
models
proposed,
including
two
deep
learning
(DL)
models,
generative
model
based
on
conditional
variational
autoencoders,
direct
finite
element
(FE)
simulations.
Deep‐DRAM
integrates
these
into
framework
capable
many
solutions
posed
random‐network
unit
cells.
Using
an
extensive
set
simulations
as
well
experiments
performed
3D
printed
specimens,
it
demonstrate
that:
1)
predictions
DL
are
in
agreement
with
FE
experimental
observations,
2)
enlarged
envelope
achievable
elastic
properties
(e.g.,
rare
combinations
double
auxeticity
high
stiffness)
realized
using
proposed
approach,
3)
can
provide
considered
problem.