Polymers,
Journal Year:
2024,
Volume and Issue:
16(10), P. 1425 - 1425
Published: May 17, 2024
Liquid
crystal
elastomers
(LCEs)
are
responsive
materials
that
can
undergo
large
reversible
deformations
upon
exposure
to
external
stimuli,
such
as
electrical
and
thermal
fields.
Controlling
the
alignment
of
their
liquid
crystals
mesogens
achieve
desired
shape
changes
unlocks
a
new
design
paradigm
is
unavailable
when
using
traditional
materials.
While
experimental
measurements
provide
valuable
insights
into
behavior,
computational
analysis
essential
exploit
full
potential.
Accurate
simulation
not,
however,
end
goal;
rather,
it
means
optimal
design.
Such
optimization
problems
best
solved
with
algorithms
require
gradients,
i.e.,
sensitivities,
cost
constraint
functions
respect
parameters,
efficiently
traverse
space.
In
this
work,
nonlinear
LCE
model
adjoint
sensitivity
implemented
in
scalable
flexible
finite
element-based
open
source
framework
integrated
gradient-based
tool.
To
display
versatility
framework,
optimize
both
material,
orientation,
structural
reach
target
actuated
shapes
or
maximize
energy
absorption
solved.
Multiple
parameterizations,
customized
address
fabrication
limitations,
investigated
2D
3D.
The
case
studies
followed
by
discussion
on
hurdles,
well
potential
avenues
for
improving
robustness
similar
frameworks
applications
interest.
Applied Mechanics Reviews,
Journal Year:
2023,
Volume and Issue:
75(6)
Published: July 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.
Journal of Applied Mechanics,
Journal Year:
2023,
Volume and Issue:
91(3)
Published: Oct. 5, 2023
Abstract
3D/4D
printing
offers
significant
flexibility
in
manufacturing
complex
structures
with
a
diverse
range
of
mechanical
responses,
while
also
posing
critical
needs
tackling
challenging
inverse
design
problems.
The
rapidly
developing
machine
learning
(ML)
approach
new
opportunities
and
has
attracted
interest
the
field.
In
this
perspective
paper,
we
highlight
recent
advancements
utilizing
ML
for
designing
printed
desired
responses.
First,
provide
an
overview
common
forward
problems,
relevant
types
structures,
space
responses
printing.
Second,
review
works
that
have
employed
variety
approaches
different
ranging
from
structural
properties
to
active
shape
changes.
Finally,
briefly
discuss
main
challenges,
summarize
existing
potential
approaches,
extend
discussion
broader
problems
field
This
paper
is
expected
foundational
guides
insights
into
application
design.
Current Opinion in Solid State and Materials Science,
Journal Year:
2023,
Volume and Issue:
27(4), P. 101090 - 101090
Published: June 30, 2023
The
quest
for
novel
materials
used
in
technologies
demanding
extreme
performance
has
been
accelerated
by
advances
computational
screening,
additive
manufacturing
routes,
and
characterization
probes.
Despite
tremendous
progress,
the
pace
of
adoption
new
still
not
met
promise
global
initiatives
discovery.
This
challenge
is
particularly
acute
structural
with
thermomechanical
environmental
demands
whose
depends
on
microstructure
as
well
material
composition.
In
this
prospective
article,
we
review
high-throughput
mechanical
testing,
associated
specimen
fabrication,
characterization,
modeling
tasks
that
show
acceleration
development
cycle.
We
identify
a
critical
need
to
develop
rapid
testing
strategies
faithfully
reproduce
design-relevant
properties
circumvent
time
expense
conventional
high
fidelity
testing.
small-scale
workflows
can
incorporate
real-time
decision
making
based
feedback
from
multimodal
modeling.
These
will
require
site-specific
fabrication
procedures
are
agnostic
synthesis
route
have
ability
modulate
defect
characteristics.
close
our
conceptualizing
fully
integrated
platform
addresses
speed-fidelity
tradeoff
pursuit
suite
materials.
