Perfect absorption properties of a near-infrared super-surface perfect absorber based on a multilayer subwavelength array structure
Physics Letters A,
Год журнала:
2025,
Номер
unknown, С. 130395 - 130395
Опубликована: Фев. 1, 2025
Язык: Английский
Thermal radiation analysis of broadband solar energy capturing absorber using Ti and GaAs
Dalton Transactions,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
Here,
we
propose
an
effective
solar
absorber
utilizing
Ti
and
GaAs.
The
average
absorption
efficiency
of
this
structure
reaches
97.6%
in
the
wavelength
range
280–3000
nm.
This
is
found
to
exhibit
excellent
thermal
radiation
performance.
Язык: Английский
Exploring AI in Metasurface Structures with Forward and Inverse Design
iScience,
Год журнала:
2025,
Номер
28(3), С. 111995 - 111995
Опубликована: Фев. 15, 2025
As
an
artificially
manufactured
planar
device,
a
metasurface
structure
can
produce
unusual
electromagnetic
responses
by
harnessing
four
basic
characteristics
of
the
light
wave.
Traditional
design
processes
rely
on
numerical
algorithms
combined
with
parameter
optimization.
However,
such
methods
are
often
time-consuming
and
struggle
to
match
actual
responses.
This
paper
aims
give
unique
perspective
classify
artificial
intelligence(AI)-enabled
design,
dividing
it
into
forward
inverse
designs
according
mapping
relationship
between
variables
performance.
Forward
driven
intelligent
algorithms;
neural
networks
one
principal
ways
realize
reverse
design.
reviews
recent
progress
in
AI-enabled
examining
principles,
advantages,
potential
applications.
A
rich
content
detailed
comparison
help
build
holistic
understanding
Moreover,
authors
believe
that
this
systematic
review
will
pave
way
for
future
research
selection
practical
Язык: Английский
Three-dimensional measurement enabled by single-layer all-in-one transmitting-receipting optical metasystem
Opto-Electronic Advances,
Год журнала:
2025,
Номер
0(0), С. 240299 - 240299
Опубликована: Янв. 1, 2025
Язык: Английский
Theoretical framework to design and optimize feasible all optical modulator based on multi passband slit array filters in frequency domain
Results in Engineering,
Год журнала:
2025,
Номер
unknown, С. 105080 - 105080
Опубликована: Апрель 1, 2025
Язык: Английский
High‐Resolution Phase‐Magnitude‐Decoupled Information Metasurface for Complex Beamforming and Dual Channel 16QAM Secure Communication
Advanced Functional Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 15, 2025
Abstract
Information
metasurfaces
have
attracted
considerable
attention
due
to
their
remarkable
ability
tailor
electromagnetic
(EM)
waves
flexibly.
However,
it
is
still
challenging
achieve
high‐resolution
phase‐magnitude‐decoupled
modulations
with
high
integration
and
more
degrees
of
freedom
in
2D.
In
this
work,
a
low‐profile
information
metasurface
(PMDIM)
proposed
that
enables
independent
controls
both
phase
magnitude.
By
precisely
applying
different
bias
voltages
two
groups
PIN
diodes
the
PMDIM
unit
cell,
2‐bit
responses
continuous
magnitude
control
ranging
from
0.2
1
across
wide
bandwidth
are
achieved
unit‐by‐unit
manner,
offering
2D
capability
for
EM
manipulations.
For
validation,
combined
carefully
optimized
phase‐magnitude
coding
sequences
realize
functions:
complex
beamforming
dual‐channel
16QAM
secure
communication.
The
first
function
includes
single‐beam
steering
low
sidelobes,
dual‐beam
power
allocation,
multi‐beam
steering;
while
second
enhances
capacity
physical
layer
security
wireless
systems.
Measured
results
demonstrate
excellent
performance
PMDIM,
showing
significant
potentials
modern
radar
communications.
Язык: Английский
Special issue on meta-lens
Opto-Electronic Science,
Год журнала:
2024,
Номер
3(9), С. 240023 - 240023
Опубликована: Янв. 1, 2024
Design of a Deep Learning-Based Metalens Color Router for RGB-NIR Sensing
Nanomaterials,
Год журнала:
2024,
Номер
14(23), С. 1973 - 1973
Опубликована: Дек. 8, 2024
Metalens
can
achieve
arbitrary
light
modulation
by
controlling
the
amplitude,
phase,
and
polarization
of
incident
waves
have
been
applied
across
various
fields.
This
paper
presents
a
color
router
designed
based
on
metalens,
capable
effectively
separating
spectra
from
visible
to
near-infrared
light.
Traditional
design
methods
for
meta-lenses
require
extensive
simulations,
making
them
time-consuming.
In
this
study,
we
propose
deep
learning
network
forward
prediction
broad
wavelength
range,
combined
with
particle
swarm
optimization
algorithm
metalens
efficiently.
The
simulation
results
align
closely
theoretical
predictions.
simultaneously
meet
transmission
phase
target
spectra,
specifically
red,
green,
blue,
light,
focus
into
designated
areas.
Notably,
optical
efficiency
reaches
40%,
significantly
surpassing
traditional
filters.
Язык: Английский