Abstract
In
the
field
of
optical
communications
and
quantum
informatics,
polarization
orbital
angular
momentum
(OAM)
offer
a
promising
way
to
expand
dimension
information.
However,
detecting
state
topological
charge
OAM
beam
on‐chip
can
be
challenging.
To
address
this,
an
ultracompact
metasurface
is
proposed
demonstrated.
The
composed
six
polarization‐sensitive
metalenses
that
occupy
60°annular
sectors
each
are
capable
simultaneous
detection.
focuses
coaxial
polarized
vortex
into
locations,
foci
displacement
related
value
charge.
corresponding
obtained
through
reconstructed
Stokes
parameter
using
focus
light
intensities.
For
proof‐of‐concept,
operating
at
wavelength
1064
nm
fabricated,
which
exhibits
exceptional
recognition
ability.
possesses
merits
ultra‐compact
size
simultaneously
entire
identification
capability,
may
encourage
development
communication
systems.
Abstract
3D
nanolithography
based
on
two‐photon
polymerization
(TPP)
allows
for
the
high‐precision
fabrication
of
nearly
arbitrary
micro/nanostructures,
finding
extensive
applications
in
areas
such
as
micro‐optics,
micro‐mechanics,
and
biomedicine.
However,
large
size,
complexity
optical
systems,
high
costs
have
significantly
constrained
widespread
adoption
technology
both
scientific
research
industry.
In
this
study,
a
metasurface
is
introduced,
first
time,
into
resulting
construction
miniaturized
simplified
TPP
system
that
achieved
efficient
multi‐focus
parallel
processing
with
uniformity.
A
microlens
array
fabricated,
showcasing
system's
application
capacity
to
generate
an
devices
consistency
quality.
It
believed
utilization
will
provide
novel
operating
platform,
enabling
richer
more
flexible
printing
functionalities
while
maintaining
miniaturization
low
cost.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
1(1)
Published: Sept. 2, 2024
Optical
metasurfaces,
planar
artificial
media
capable
of
controlling
light
propagation,
are
transitioning
from
laboratory
curiosity
to
commercial
applications.
This
shift
requires
advanced
meta-atom
and
metasurface
designs,
considering
manufacturability
enhancing
optical
performance
with
post-processing
algorithms.
Artificial-Intelligence(AI),
particularly
machine-learning(ML)
optimization,
offers
solutions
these
demands.
perspective
systematically
reviews
AI's
potential
impact
in
three
critical
areas:
AI-enabled
design-for-manufacturing(DFM),
design
beyond
the
classical
local
phase
approximation,
AI-empowered
computational
backend.
Opto-Electronic Science,
Journal Year:
2024,
Volume and Issue:
3(10), P. 230035 - 230035
Published: Jan. 1, 2024
Supercritical
lens
(SCL)
can
break
the
diffraction
limit
in
far
field
and
has
been
demonstrated
for
high-resolution
scanning
confocal
imaging.
Its
capability
sharper
focusing
needle-like
long
focal
depth
should
allow
lithography
at
violet
or
ultraviolet
(UV)
wavelength,
however,
this
never
experimentally
demonstrated.
As
a
proof
of
concept,
paper
SCLs
operating
405
nm
(h-line)
wavelength
with
smaller
full-width-at-half-maximum
spot
longer
focus
than
conventional
Fresnel
zone
while
maintaining
controlled
side
lobes
are
designed
direct
laser
writing
(DLW)
lithography.
Aluminum
nitride
(AlN)
high
refractive
index
low
loss
UV-visible
range
is
used
to
fabricate
nanopillar-based
metasurfaces
structure
metalens.
Grating
arrays
improved
pitch
resolution
fabricated
using
sub-diffraction-limit
capability.
The
AlN-based
metasurface
short
DLW
could
extend
further
UV
deep
might
be
great
interest
both
research
industry
applications.
Abstract
During
the
past
few
years,
metasurface
polarization
optics
has
experienced
remarkable
advances,
resulting
in
revolutionary
applications
imaging,
sensing,
computing,
etc.
The
realization
of
complex
optical
operations
requires
consideration
both
individual
meta‐atoms
as
well
their
intricate
couplings.
However,
conventional
design
methods
face
challenges
degrees
freedom
and
functionality
complexity.
Additionally,
previous
studies
are
restricted
to
local
single
based
on
explicit
mapping
relationships
while
ignoring
interactions,
an
inability
meet
on‐demand
requirements
light‐field
operations.
Here,
a
global
strategy
field‐driven
polygon
evolution
achieve
inverse
large‐scale
coupled
is
proposed.
Through
two
simulations,
it
can
effectively
reshape
any
given
target
field
into
optimal
structural
distribution
devices
without
knowing
relationship.
Near‐perfect
spin‐decoupled
beam‐splitting
high‐performance
focusing,
generation
arbitrary
vector
fields
Poincaré
sphere
with
maximal
diffraction
efficiency
closely
approaching
100%,
experimentally
demonstrated.
This
opens
up
new
avenue
for
rapid
large‐scale,
multifunctional
meta‐devices,
which
hold
significant
implications
classical
quantum
information
processing
domains.
Optics Letters,
Journal Year:
2024,
Volume and Issue:
49(9), P. 2505 - 2505
Published: April 4, 2024
Diffractive
deep
neural
networks,
known
for
their
passivity,
high
scalability,
and
efficiency,
offer
great
potential
in
holographic
imaging,
target
recognition,
object
classification.
However,
previous
endeavors
have
been
hampered
by
spatial
size
alignment.
To
address
these
issues,
this
study
introduces
a
monolayer
directional
metasurface,
aimed
at
reducing
constraints
mitigating
alignment
issues.
Utilizing
methodology,
we
use
MNIST
datasets
to
train
diffractive
networks
realize
digital
classification,
revealing
that
the
metasurface
can
achieve
excellent
image
classification
results,
accuracy
of
ideal
phase
mask
plates
phase-only
modulation
reach
84.73%
84.85%,
respectively.
Despite
certain
loss
degrees
freedom
compared
multi-layer
plates,
single-layer
is
easier
fabricate
align,
thereby
improving
utilization
efficiency.