Journal of Sound and Vibration,
Год журнала:
2024,
Номер
580, С. 118388 - 118388
Опубликована: Март 13, 2024
In
this
contribution,
a
variationally
consistent
novel
Elishakoff
beam
theory
considering
long-range
interactions
has
been
developed,
which
succeeds
in
emulating
the
dynamic
behavior
of
CNTs
with
both
(5,5)
and
(10,10)
armchairs,
something
that
not
attained
previously.
This
is
based
on
modification
Timoshenko
one,
taken
here
for
first
time
as
basis
two
finite
element
implementations,
their
equations
motion
written
either
coupled
set
terms
displacement
rotation
(reducible
formulation)
or
single
equation
only
(irreducible
formulation).
Both
stability
accuracy
analyses
are
performed,
concluding
irreducible
form
allows
longer
steps,
while
providing
appropriate
throughout
whole
wavenumber
range.
Photonics,
Год журнала:
2024,
Номер
11(3), С. 253 - 253
Опубликована: Март 11, 2024
This
work
provides
an
overview
on
micromirror
arrays
based
different
material
systems
such
as
dielectrics,
element
silicon,
compound
semiconductors,
metals,
and
novel
2D
materials.
The
goal
is
to
out
the
particular
strength
of
each
system
enable
optimum
performance
for
various
applications.
In
particular,
this
review
intended
draw
attention
fact
that
MEMS
micro-mirrors
can
be
successful
in
many
other
besides
silicon.
two
have
so
far
been
used
less
arrays,
researched,
which
fewer
applications
reported
date:
metallic
heterostructures
However,
main
focus
glass
substrates
like
personalized
light
steering
buildings
via
active
windows,
energy
management,
laser
safety
goggles,
interference
microscopy,
endoscopy.
Finally,
are
compared
with
respect
fabrication
challenges,
switching
speed,
number
mirrors,
mirror
dimensions,
array
sizes,
miniaturization
potential
individual
reliability,
lifetime,
hinge
methodology.
Nanomaterials,
Год журнала:
2022,
Номер
12(17), С. 2957 - 2957
Опубликована: Авг. 26, 2022
With
increasing
demand
in
many
areas,
materials
are
constantly
evolving.
However,
they
still
have
numerous
practical
constraints.
The
rational
design
and
discovery
of
new
can
create
a
huge
technological
social
impact.
such
require
holistic,
multi-stage
process,
including
the
material
composition,
structure,
properties
as
well
process
engineering.
Such
complex
exploration
using
traditional
scientific
methods
is
not
only
blind
but
also
waste
time
resources.
Machine
learning
(ML),
which
used
across
data
to
find
correlations
understand
chemical
materials,
being
considered
way
explore
field.
This
paper
reviews
some
major
recent
advances
applications
ML
field
prediction
discusses
key
challenges
opportunities
this
cross-cutting
area.
Journal of Sound and Vibration,
Год журнала:
2024,
Номер
580, С. 118388 - 118388
Опубликована: Март 13, 2024
In
this
contribution,
a
variationally
consistent
novel
Elishakoff
beam
theory
considering
long-range
interactions
has
been
developed,
which
succeeds
in
emulating
the
dynamic
behavior
of
CNTs
with
both
(5,5)
and
(10,10)
armchairs,
something
that
not
attained
previously.
This
is
based
on
modification
Timoshenko
one,
taken
here
for
first
time
as
basis
two
finite
element
implementations,
their
equations
motion
written
either
coupled
set
terms
displacement
rotation
(reducible
formulation)
or
single
equation
only
(irreducible
formulation).
Both
stability
accuracy
analyses
are
performed,
concluding
irreducible
form
allows
longer
steps,
while
providing
appropriate
throughout
whole
wavenumber
range.
