Abstract
Optical‐control
reconfigurable
metasurfaces
can
avoid
crosstalk
between
microwave
signal
and
direct
current
(DC)
caused
by
physical
wire
connection,
which
paves
a
paradigm
for
dynamically
remotely
controlling
electromagnetic
(EM)
wave.
However,
the
traditional
light‐controlled
mainly
focus
on
modulation
of
single
polarized
EM
wave,
is
difficult
to
adapt
various
signals
in
communication.
In
this
work,
photoresistor
fully
embedded
into
meta‐atom
as
an
active
device,
metasurface
(LCRM)
with
multi‐polarization
amplitude
modulations
proposed.
The
designed
controls
luminous
intensity
light
emitting
diode
(LED)
array
through
computer,
then
adjusts
value,
achieve
modulations.
order
verify
feasibility
effectiveness
proposed
framework,
simulated,
fabricated,
measured,
measurement
results
are
basically
consistent
theoretical
simulation
results.
Based
characteristics
metasurface,
linear
(LP)
wave
synthesis
information
transmission
carried
out
demonstrate
design.
This
work
designs
under
orthogonal‐polarization
incidence
expand
LCRM
application,
has
broad
development
prospects
many
fields
such
transmission,
communication
systems,
holographic
imaging.
Nanophotonics,
Journal Year:
2025,
Volume and Issue:
14(4), P. 429 - 447
Published: Feb. 3, 2025
Abstract
Empowering
nanophotonic
devices
via
artificial
intelligence
(AI)
has
revolutionized
both
scientific
research
methodologies
and
engineering
practices,
addressing
critical
challenges
in
the
design
optimization
of
complex
systems.
Traditional
methods
for
developing
are
often
constrained
by
high
dimensionality
spaces
computational
inefficiencies.
This
review
highlights
how
AI-driven
techniques
provide
transformative
solutions
enabling
efficient
exploration
vast
spaces,
optimizing
intricate
parameter
systems,
predicting
performance
advanced
materials
with
accuracy.
By
bridging
gap
between
complexity
practical
implementation,
AI
accelerates
discovery
novel
functionalities.
Furthermore,
we
delve
into
emerging
domains,
such
as
diffractive
neural
networks
quantum
machine
learning,
emphasizing
their
potential
to
exploit
photonic
properties
innovative
strategies.
The
also
examines
AI’s
applications
areas,
e.g.,
optical
image
recognition,
showcasing
its
role
device
integration.
facilitating
development
highly
efficient,
compact
devices,
these
AI-powered
paving
way
next-generation
systems
enhanced
functionalities
broader
applications.
Abstract
Topological
edge
states
in
valley
photonic
crystals
(VPCs)
have
gained
significant
attention
due
to
their
capabilities
for
sharp‐turn
transmission,
defect
immunity,
and
robust
photon
transport
on
chips.
However,
research
the
refraction
within
VPC
domain
integrated
chips
is
still
lacking,
impeding
various
applications
of
VPCs.
In
this
work,
mechanisms
topological
modes
at
different
external
coupling
boundaries
are
investigated,
demonstrate
interconnections
switches
a
chip.
The
reflection
refracted
into
slab
waveguides
compared
through
zigzag,
armchair,
vertical
zigzag
terminations.
termination
demonstrates
high
efficiency
with
constant
angle
wavelengths.
Based
these
findings,
compact
low‐loss
waveguide
crossing
configurable
interconnections.
To
practical
2
×
switch
presented
that
utilizes
proposed
Mach‐Zehnder
interferometer
(MZI)
structure
proposed.
This
work
explores
boundaries,
expanding
potential
circuits,
optical
communications,
quantum
information
processing.
ACS Nano,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 20, 2025
The
light-soft
matter
interaction
and
its
applications
form
the
foundation
of
Soft
Matter
Photonics,
here
termed
"Soft
Mattonics",
positioning
it
as
fertile
ground
for
developing
next-generation
photonic
technologies.
Over
past
few
decades,
this
rapidly
evolving
field
has
achieved
significant
advancements,
leading
to
successful
across
a
wide
range
disciplines,
including
optoelectronics,
photonics,
information
technology,
material
science,
robotics,
biomedicine,
astronomy.
In
Perspective,
we
provide
an
overview
Mattonics,
highlighting
recent
developments
in
light-controlled
soft
their
light
manipulating.
Additionally,
offer
insights
into
future
research
directions
with
emphasis
on
both
foundational
practical
that
will
drive
continued
growth
innovation
field.
Abstract
To
enhance
the
computational
density
and
energy
efficiency
of
on-chip
neuromorphic
hardware,
this
study
introduces
a
novel
network
architecture
for
multi-task
processing
with
in-memory
optical
computing.
On-chip
neural
networks
are
celebrated
their
capability
to
transduce
substantial
volume
parameters
into
form
while
conducting
passive
computing,
yet
they
encounter
challenges
in
scalability
multitasking.
Leveraging
principles
transfer
learning,
approach
involves
embedding
majority
fixed
components
minority
adjustable
electrical
components.
Furthermore,
deep
regression
algorithm
modeling
physical
propagation
process,
compact
achieve
handle
diverse
tasks.
In
work,
two
ultra-compact
diffraction-based
chips
integration
more
than
60,000
parameters/mm
2
were
fabricated,
employing
model
hard
parameter
sharing
algorithm,
perform
multifaceted
classification
tasks,
respectively.
The
experimental
results
demonstrate
that
these
accuracies
comparable
those
significantly
reducing
power-intensive
digital
computation
by
90%.
Our
work
heralds
strong
potential
advancing
computing
frameworks
next
generation
artificial
intelligence
platforms.
Nanophotonics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 27, 2025
Abstract
Human
vital-sign
sensing
using
electromagnetic
wave
has
emerged
as
a
promising
technology
for
the
noninvasive
monitoring
of
individuals’
health
status.
Here,
modular
reprogrammable
metasurface
system
is
presented
to
suppress
noise
in
human
respiration
sensing.
The
proposed
Biological
Metasurface
(
BioMeta
)
provides
three-dimensional
dynamic
control
over
wavefront
shaping
and
thus
can
reduce
interference
from
limb
motions.
This
capability
allows
acquire
data
accurately
reliably
particularly
beneficial
real-world
environments
where
subjects
may
change
posture
or
location
frequently.
Furthermore,
meta-atom
detachable,
thereby
resulting
reusable
properties
promoting
environmental
sustainability.
Meanwhile,
characteristics
mechanical
enable
operate
without
continuous
power
supply,
saving
energy
certain
extent.
A
contactless
prototype
based
on
demonstrated.
Experimental
results
validate
that
monitor
breathing
multiple
individuals
with
movements
by
means
time
multiplexing,
an
average
estimation
error
0.5
per
minute.
enhances
accuracy
reliability
monitoring,
presenting
versatile
environmentally
friendly
solution
applications
like
elderly
care
disease
monitoring.
Nanophotonics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 31, 2025
Abstract
Metasurfaces
have
attracted
considerable
interest
in
optical
encryption
due
to
their
remarkable
ability
manipulate
light
at
subwavelength
scales,
however
the
aspect
of
security
remains
an
area
requiring
deeper
exploration.
Here,
we
propose
and
demonstrate
metasurface-enabled
steganography
that
provides
dual-layer
information
protection.
A
secret
is
embedded
within
multiple
carrier
images
using
a
run-length
encoding
algorithm,
dispersing
data
safeguard
it
against
direct
observation
brute-force
attacks,
thereby
establishing
first
layer
security.
The
second
achieved
by
onto
silicon
metasurface,
leveraging
wavelength
polarization
generate
diverse
keys
post-steganography.
To
validate
proposed
scheme,
several
metasurface
samples
are
fabricated
characterized
visible
spectrum.
By
adjusting
various
combinations
keys,
three
encrypted
retrieved
with
high
fidelity
negligible
crosstalk,
concealed
successfully
extracted
through
corresponding
decryption
algorithm.
approach
enhances
hardware
level,
making
less
susceptible
leakage.
It
anticipated
demonstrated
advancement
will
hold
significant
potential
for
applications
anti-counterfeiting.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 16, 2025
Abstract
All-optical
image
processing
based
on
metasurfaces
is
a
swiftly
advancing
field
of
technology,
due
to
its
high
speed,
large
integrability
and
inherently
low
energy
requirements.
So
far,
the
proposed
devices
have
been
focusing
canonical
operations,
such
as
differentiations
perform
edge
detection
across
all
objects
in
complex
scene.
Yet,
undesired
background
noise
clutter
can
hinder
requiring
target
selection
with
digital
post-processing
which
limits
overall
accuracy,
efficiency
speed.
Here,
we
introduce
an
optical
solution
for
real-time
size-selective
experimentally
demonstrate
concept
metal-dielectric-metal
film
performing
spatial
band-pass
filter
momentum
space.
We
show
high-resolution
(~
0.9
μm)
dynamic
denoising,
ideally
suited
bio-imaging
applications
recognitions.
This
innovative
k-space
analog
operation
expands
scope
nonlocal
flat
optics
processing,
ushering
opportunities
ultra-compact
multifunctional
processors.
Advanced Functional Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 17, 2025
Abstract
Directly
performing
optical
analog
computations
and
image
processing
in
space,
such
as
differential
operations
edge
detection,
is
a
burgeoning
area.
To
avoid
the
bulkiness
low
efficiency
of
traditional
4
f
filtering
systems,
one
can
utilize
Green's
function
metasurfaces
for
advanced
wavefront
control.
However,
some
metasurface
differentiators
be
hindered
by
issues
like
polarization
sensitivity,
restricted
bandwidth,
resolution,
need
additional
devices
or
digital
post‐processing,
potentially
degrading
their
performance
operation
efficiency.
In
this
work,
dual‐polarization
Laplace
differentiator
engineered
to
address
these
based
on
nonlocal
hollow
metasurface.
The
transfer
(OTF)
required
obtained
exciting
different
quasi‐bound
states
continuum
(Q‐BIC)
modes
with
distinct
angular
dispersion
capabilities
under
p
‐
s
‐polarized
illumination,
respectively.
This
not
only
directly
realizes
2D
second‐order
detection
channel
but
also
features
numerical
aperture
(NA)
an
upper
limit
close
0.42
broadband
range
reaching
165
nm.
Such
efficient,
high‐quality
bandwidth
approach
offers
powerful
imaging
techniques
applications
machine
vision,
microscopic
imaging,
processing.
