Applied and Computational Engineering,
Journal Year:
2024,
Volume and Issue:
94(1), P. 118 - 122
Published: Nov. 15, 2024
Abstract.
In
northern
China,
exterior
window
glass
significantly
impacts
heating
energy
consumption
during
winter
by
collecting
heat
and
providing
insulation.
Additionally,
it
plays
a
crucial
role
in
shading
attenuating
ultraviolet
rays.
This
paper
presents
an
intelligent
optimization
algorithm
based
on
genetic
algorithms
for
optimizing
the
thickness
of
three-layer
insulating
to
maximize
solar
radiation
transmission
minimize
below
400nm
wavelength,
thereby
enhancing
glass's
collection
capabilities.
The
study
utilizes
MATLAB's
function,
running
20
iterations
overcome
local
optima,
achieving
optimal
configuration
12mm
each
layer.
allows
maximum
while
substantially
reducing
UV
radiation,
balancing
efficiency
with
health
protection.
Future
research
directions
include
examining
different
materials'
effects
blocking,
considering
climate
change
performance,
scaling
method
large-scale
architectural
applications
assess
its
practical
economic
viability.
findings
contribute
development
energy-efficient
health-protective
building
materials.
Abstract
With
the
development
of
space
exploration
and
exploitation,
it
is
imperative
to
address
potential
threats
posed
objects,
particularly
ground-based
infrared
observation.
However,
in
extreme
environment,
achieving
camouflage
across
different
bands
with
simultaneous
thermal
management
challenging
has
so
far
slipped
out
concern.
Here,
we
propose
space-to-ground
strategy,
compatible
radiative
heat
dissipation.
Camouflage
H,
K,
mid-wave-infrared
(MWIR),
long-wave-infrared
(LWIR)
achieved
through
a
multilayer
structure,
dissipation
very-long-wave-infrared
(VLWIR)
band.
High
absorptivity
(0.839/0.633)
H/K
minimizes
reflected
signal
solar
radiation
low
emissivity
(0.132/0.142)
MWIR/LWIR
suppresses
signal.
Additionally,
high
(0.798)
VLWIR
band
ensures
efficient
management,
resulting
temperature
decrement
39.8
°C
metal
reference
simulated
environment
(with
1200
W
m
−
2
input).
This
work
inspires
sophisticated
spectral
manipulation
environments
guides
techniques
for
objects.
Current
limitations
in
implant
design
often
lead
to
trade-offs
between
minimally
invasive
surgery
and
achieving
the
desired
post-implantation
functionality.
Here,
we
present
an
artificial
intelligence
inverse
paradigm
for
creating
deployable
implants
as
planar
tubular
thermal
mechanical
metamaterials
(thermo-metamaterials).
These
thermo-metamaterial
exhibit
tunable
properties
volume
change
response
temperature
changes,
enabling
personalized
surgery.
We
begin
by
generating
a
large
database
of
corrugated
thermo-metamaterials
with
various
cell
structures
bending
stiffnesses.
An
model
is
subsequently
developed
integrating
evolutionary
algorithm
neural
network.
This
allows
automatic
determination
optimal
microstructure
performance,i.e.,
target
stiffness.
validate
this
approach
designing
patient-specific
spinal
fusion
tracheal
stents.
The
results
demonstrate
that
can
achieve
over
200%
increase
or
cross-sectional
area
their
fully
deployed
states.
Finally,
propose
broader
vision
clinically
informed
process
prioritizes
biocompatibility,
feasibility,
precision
simultaneously
development
high-performing
viable
implants.
feasibility
proposed
demonstrated
using
fuzzy
analytic
hierarchy
customize
based
on
relevant
factors.
Science Advances,
Journal Year:
2025,
Volume and Issue:
11(3)
Published: Jan. 15, 2025
A
metamaterial
absorber
capable
of
swiftly
altering
its
electromagnetic
response
in
the
microwave
range
offers
adaptability
to
changing
environments,
such
as
tunable
stealth
capabilities.
Inspired
by
chameleon’s
ability
change
color
through
structural
transformation
photonic
lattice
crystals,
which
shift
bandgaps
reflection
and
transmission
visible
light,
we
designed
a
crisscross
structure
that
transforms
from
an
expanded
collapsed
form.
This
enables
switch
between
broadband
absorption
peak
(4
18
gigahertz).
The
structure,
optimized
data-driven
design,
is
mechanically
actuated
rotation
interlinked
trusses.
mechanism
changes
entire
array’s
response,
allowing
it
remain
undetected
external
radar
or
transmit
internal
signal
near-field
receiver
when
needed.
mechanical
actuation
shifting
arrayed
are
demonstrated.
Nanophotonics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 6, 2025
Abstract
The
increasing
global
temperatures
have
escalated
the
demand
for
indoor
cooling,
thus
requiring
energy-saving
solutions.
Traditional
approaches
often
integrate
metal
layers
in
cooling
windows
to
block
near-infrared
(NIR)
sunlight,
which,
albeit
effective,
lack
broad
modulation
of
visible
transmission
and
lead
heat
accumulation
due
sunlight
absorption.
Here,
we
address
these
limitations
by
developing
using
ZnS/MgF
2
multilayers,
optimized
through
a
binary
optimization-based
active
learning
process.
We
demonstrated
that
with
total
thickness
below
1
µm,
effectively
reduced
blocking
NIR
while
achieving
desired
transmittance.
designed
multilayers
exhibited
transmittance
ranging
from
0.41
0.89
retaining
decent
reflectance
between
0.37
0.52.
These
spectral
characteristics
remained
consistent
up
incident
angles
>60°,
ensuring
their
practical
applicability
vertically
oriented
windows.
Outdoor
experiments
showed
substantial
temperature
reductions
8.8
°C
on
floors
compared
uncoated
glass
learning-based
superior
performance
analytical
distributed
Bragg
reflectors
equivalent
thicknesses
improving
modulating
In
addition,
greater
number
bits
extensively
tuned
color,
enabling
customization
aesthetic
purposes.
findings
suggest
all-dielectric
can
provide
scalable,
cost-effective
alternative
reducing
energy
consumption
buildings
vehicles
large
surfaces,
supporting
efforts
mitigate
climate
change
enhanced
efficiency.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 23, 2024
Abstract
Environmental
heat
influx
often
limits
the
effectiveness
of
radiative
cooling
materials,
particularly
in
wearable
applications
where
thermal
comfort
is
paramount.
This
study
introduces
an
innovative
solution
for
personal
management
through
phase
change
(RC‐PC)
fiber
membranes.
Fabricated
by
coaxial
electrospinning,
these
membranes
combine
a
poly(3‐hydroxybutyrate‐co‐3‐hydroxyvalerate)
(PHBV)
and
tetraethyl
orthosilicate
(TEOS)
composite
shell,
encapsulating
n
‐octadecane
as
core
material.
The
demonstrate
exceptional
optical
performance,
with
solar
reflectivity
95.0%
emissivity
88.6%
within
atmospheric
window,
effectively
minimizing
ambient
absorption.
‐octadecane‐infused
fibers
(0.3
mL
h
−1
C18@TEOS/PHBV)
exhibit
enthalpy
88.3
J
g
,
reducing
heating
rates
improving
≈1
°C
at
dawn.
Under
typical
radiation
(939.5
W
m
−2
),
provide
average
power
89.0
peaking
95.3
.
Notably,
they
achieve
reduction
5.1
under
550.2
maintaining
temperatures
significantly
lower
than
conventional
fabrics,
differential
4.4
compared
to
medical
protective
clothing.
These
findings
underscore
potential
RC‐PC
sustainable,
efficient
management.
Tailoring
the
wavelength,
bandwidth,
directionality,
and
polarization
of
thermal
radiation
is
critical
for
various
applications
like
infrared
camouflage,
radiative
cooling,
gas
sensing.
In
this
work,
we
present
a
deep-subwavelength
bilayer
structure
that
serves
as
long-wavelength
(LWIR)
narrow-band
emitter
with
selectivity.
The
proposed
LWIR
basically
consists
tungsten
oxide
(WO3)
polar
dielectric
layer
upon
an
opaque
gold
(Au)
ground
plane.
Transfer
matrix
method
(TMM)
calculations
are
employed
to
analytically
investigate
optical
responses
emitter.
Leveraging
Berreman
mode
near
longitudinal
(LO)
phonon
energy
WO3,
experimentally
realizes
high
absorption
(97.6%)
TM-polarized
state
low
(4.2%)
TE-polarized
(at
incident
angle
60°
wavelength
10.12
μm),
which
shows
good
agreement
theoretical
results.
Such
excellent
polarization-sensitive
performance
makes
our
very
promising
security
features,
information
encryption,
anticounterfeiting.
