Inverse design of color routers in CMOS image sensors: toward minimizing interpixel crosstalk
Nanophotonics,
Год журнала:
2024,
Номер
13(20), С. 3895 - 3914
Опубликована: Июль 1, 2024
Abstract
Over
the
past
decade,
significant
advancements
in
high-resolution
imaging
technology
have
been
driven
by
miniaturization
of
pixels
within
image
sensors.
However,
this
reduction
pixel
size
to
submicrometer
dimensions
has
led
decreased
efficiency
color
filters
and
microlens
arrays.
The
development
routers
that
operate
at
visible
wavelengths
presents
a
promising
avenue
for
further
miniaturization.
Despite
this,
existing
often
encounter
severe
interpixel
crosstalk,
around
70
%,
due
reliance
on
periodic
boundary
conditions.
Here,
we
present
crosstalk-minimized
achieve
an
unprecedented
in-pixel
optical
87.2
%
significantly
reduce
crosstalk
2.6
%.
are
designed
through
adjoint
optimization,
incorporating
customized
incident
waves
minimize
crosstalks.
Our
findings
suggest
our
router
design
surpasses
routing
techniques
terms
efficiency,
representing
crucial
step
forward
push
toward
commercializing
next
generation
solid-state
Язык: Английский
Deep Learning Design for Loss Optimization in Metamaterials
Nanomaterials,
Год журнала:
2025,
Номер
15(3), С. 178 - 178
Опубликована: Янв. 23, 2025
Inherent
material
loss
is
a
pivotal
challenge
that
impedes
the
development
of
metamaterial
properties,
particularly
in
context
3D
metamaterials
operating
at
visible
wavelengths.
Traditional
approaches,
such
as
design
periodic
model
structures
and
selection
noble
metals,
have
encountered
plateau.
Coupled
with
complexities
constructing
achieving
precise
alignment,
these
factors
made
creation
low-loss
spectrum
formidable
task.
In
this
work,
we
harness
concept
deep
learning,
combined
principle
weak
interactions
metamaterials,
to
re-examine
optimize
previously
validated
disordered
discrete
metamaterials.
The
paper
presents
an
innovative
strategy
for
optimization
structural
unit
distributions,
proving
their
robustness
ability
perform
intended
functions
within
critical
distribution
ratio.
This
refined
offers
theoretical
framework
single-frequency
broadband
systems.
It
paves
way
optical
facile
fabrication
high-performance
photonic
devices.
Язык: Английский
Angle‐Tolerant Circular Eigenpolarizations Enabled by Orientational Disorder in Dielectric Metasurfaces
Advanced Optical Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 28, 2025
Abstract
Tailored
structural
disorder
in
photonic
metasurfaces
enables
advanced
light
shaping.
Specifically,
an
orientational
chiral
nanostructures
leads
to
circular
eigenpolarizations
with
a
heavily
suppressed
linear
birefringence.
The
is,
therefore,
vital
observing
purely
chiroptical
effects
such
as
dichroism
and
optical
activity.
Here,
it
is
experimentally
numerically
demonstrated
that
all‐dielectric
orientationally
disordered
bilayer
square
array
preserve
highly
for
wide
range
of
incidence
angles.
angle‐dependent
performance
compared
their
C
2
4
symmetric
periodic
counterparts,
demonstrating
the
structures
provide
nearly
pure
across
larger
angles
wavelengths,
whereas
ones
do
not.
These
findings
underscore
ability
tailored
enhance
robustness
engineered
responses
highlight
its
potential
flat,
integrable,
efficient
components,
polarizers
beam
splitters.
Язык: Английский
Freeform thin-film lithium niobate mode converter for photon-pair generation
Nanophotonics,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 6, 2025
Abstract
Thin-film
lithium
niobate
(TFLN)
has
emerged
as
a
promising
platform
for
integrated
photonics
due
to
its
exceptional
material
properties.
The
application
of
freeform
topology
optimization
TFLN
devices
enables
the
realization
compact
designs
with
complex
functionalities
and
high
efficiency.
However,
stringent
fabrication
constraints
present
significant
challenges
optimization,
particularly
in
nonlinear
photonic
devices.
In
this
work,
we
propose
an
inverse
design
methodology
that
successfully
addresses
these
demonstrates
development
efficient
mode
converter.
numerically
optimized
converter
achieves
transmission
efficiency
67.60
%
purity
84.58
%.
Experimental
validation
through
processes,
including
second
harmonic
generation
spontaneous
parametric
down-conversion,
shows
fabricated
improve
processes
by
factors
two
three,
respectively,
compared
without
designs.
proposed
framework
provides
powerful
tool
advancing
TFLN-based
devices,
broad
applicability
quantum
photonics.
Язык: Английский
Colored Radiative Cooling: from Photonic Approaches to Fluorescent Colors and Beyond
Advanced Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 4, 2025
Radiative
cooling
technology
is
gaining
prominence
as
a
sustainable
solution
for
improving
thermal
comfort
and
reducing
energy
consumption
associated
with
demands.
To
meet
diverse
functional
requirements
such
aesthetics,
switchable
cooling,
camouflage,
colored
smart
windows,
color
often
preferred
over
white
opaque
appearance
in
the
design
of
radiative
materials.
Colored
(CRC)
has
emerged
prevailing
not
only
achieving
colorful
but
also
increasing
effective
solar
reflectance
to
enhance
performance
(through
incorporation
fluorescent
materials).
This
paper
reviews
recent
advancements
CRC
its
profound
impact
on
savings
real-world
applications.
After
introducing
fundamentals
characterization,
various
photonic
approaches
are
explored
that
leverage
resonant
structures
achieve
coloration
comparing
them
conventional
methods
based
optical
materials
like
pigments
can
convert
absorbed
ultraviolet
light
into
visible-light
emission.
Furthermore,
review
delves
self-adaptive
featuring
dynamic
modulation
responds
temperature
fluctuations.
Lastly,
potential
application
assessed,
comprehensive
outlook
their
future
development
offered,
critical
challenges
practical
applications
discussed.
Язык: Английский
Deep neural networks for inverse design of multimode integrated gratings with simultaneous amplitude and phase control
Nanophotonics,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 13, 2025
Abstract
We
present
a
photonic
mode
converter
based
on
grating
structure,
modeled
and
inversely
designed
by
deep
neural
networks.
The
network
maps
the
physical
parameters
of
to
responses,
i.e.,
complex
scattering
representing
reflected
modes
from
structure.
design
different
networks
output
magnitudes
phases
associated
with
multiple
modes.
Following
training
process,
we
use
trained
perform
inverse
desired
parameters.
effort
provides
full
control
converter.
Our
techniques
help
in
creating
rich
landscape
interfering
waves
that
provide
higher
optical
near
fields,
resonators,
their
relevant
nanophotonic
applications.
Язык: Английский
Adjoint Method-based Fourier Neural Operator Surrogate Solver for Wavefront Shaping in Tunable Metasurfaces
iScience,
Год журнала:
2024,
Номер
28(1), С. 111545 - 111545
Опубликована: Дек. 6, 2024
Язык: Английский
Modified Born series with virtual absorbing boundary enabling large-scale electromagnetic simulation
Communications Physics,
Год журнала:
2024,
Номер
7(1)
Опубликована: Ноя. 25, 2024
Numerical
electromagnetic
field
solvers
are
significant
for
nanophotonic
and
photoelectronic
technology,
especially
computational
imaging,
metasurface,
biomedical
microscopy,
in
which
large-scale
simulations
serve
as
the
core.
Conventionally,
these
use
absorbing
boundary
conditions
(ABC)
to
simulate
open-domain
systems.
However,
existing
ABCs
require
large
memory
sufficiently
suppress
reflection
at
boundaries,
is
prohibitive
applications.
This
work
proposes
a
virtual
condition
based
on
angular
spectrum
method
(ASM)
reduce
usage
of
ABC.
The
ASM
used
cover
polluted
region,
eliminates
need
store
region.
Combined
with
Fourier
transforms-based
modified
Born
series,
can
be
reduced
level
close
theoretical
limit.
proposed
offers
substantial
boost
applications
related
memory-constrained
devices
like
GPU.
simulations,
Язык: Английский