Advanced Materials,
Journal Year:
2022,
Volume and Issue:
35(23)
Published: Dec. 23, 2022
Abstract
Artificial
intelligence
(AI)
is
gaining
strength,
and
materials
science
can
both
contribute
to
profit
from
it.
In
a
simultaneous
progress
race,
new
materials,
systems,
processes
be
devised
optimized
thanks
machine
learning
(ML)
techniques,
such
turned
into
innovative
computing
platforms.
Future
scientists
will
understanding
how
ML
boost
the
conception
of
advanced
materials.
This
review
covers
aspects
computation
fundamentals
directions
taken
repercussions
produced
by
account
for
origins,
procedures,
applications
AI.
its
methods
are
reviewed
provide
basic
knowledge
implementation
potential.
The
systems
used
implement
AI
with
electric
charges
finding
serious
competition
other
information‐carrying
processing
agents.
impact
these
techniques
have
on
inception
so
deep
that
paradigm
developing
where
implicit
being
mined
conceive
functions
instead
found
How
far
this
trend
carried
hard
fathom,
as
exemplified
power
discover
unheard
or
physical
laws
buried
in
data.
Nanophotonics,
Journal Year:
2020,
Volume and Issue:
9(5), P. 1189 - 1241
Published: May 1, 2020
Nanophotonics
has
garnered
intensive
attention
due
to
its
unique
capabilities
in
molding
the
flow
of
light
subwavelength
regime.
Metasurfaces
(MSs)
and
photonic
integrated
circuits
(PICs)
enable
realization
mass-producible,
cost-effective,
highly
efficient
flat
optical
components
for
imaging,
sensing,
communications.
In
order
nanophotonics
with
multi-purpose
functionalities,
chalcogenide
phase-change
materials
(PCMs)
have
been
introduced
as
a
promising
platform
tunable
reconfigurable
nanophotonic
frameworks.
Integration
non-volatile
PCMs
properties
such
drastic
contrasts,
fast
switching
speeds,
long-term
stability
grants
substantial
reconfiguration
more
conventional
static
platforms.
this
review,
we
discuss
state-of-the-art
developments
well
emerging
trends
MSs
PICs
using
PCMs.
We
outline
material
properties,
structural
transformation,
electro-optic,
thermo-optic
effects
well-established
classes
The
deep
learning-based
approaches
optimization
analysis
light-matter
interactions
are
also
discussed.
review
is
concluded
by
discussing
existing
challenges
adjustable
perspective
on
possible
area.
Nature Communications,
Journal Year:
2021,
Volume and Issue:
12(1)
Published: Feb. 22, 2021
Active
metasurfaces,
whose
optical
properties
can
be
modulated
post-fabrication,
have
emerged
as
an
intensively
explored
field
in
recent
years.
The
efforts
to
date,
however,
still
face
major
performance
limitations
tuning
range,
quality,
and
efficiency
especially
for
non
mechanical
actuation
mechanisms.
In
this
paper,
we
introduce
active
metasurface
platform
combining
phase
covering
the
full
2$\pi$
range
diffraction-limited
using
all-dielectric,
low-loss
architecture
based
on
change
materials
(O-PCMs).
We
present
a
generic
design
principle
enabling
switching
of
metasurfaces
between
two
arbitrary
profiles
propose
new
figure-of-merit
(FOM)
tailored
meta-optics.
implement
approach
realize
high-performance
varifocal
metalens
operating
at
5.2
$\mu$m
wavelength.
is
constructed
Ge2Sb2Se4Te1
(GSST),
O-PCM
with
large
refractive
index
contrast
($\Delta$
n
>
1)
unique
broadband
characteristics
both
amorphous
crystalline
states.
reconfigurable
features
focusing
efficiencies
above
20%
states
linearly
polarized
light
record
ratio
29.5
dB.
further
validated
aberration-free
imaging
states,
which
represents
first
experimental
demonstration
non-mechanical
performance.
Nature Communications,
Journal Year:
2021,
Volume and Issue:
12(1)
Published: Jan. 4, 2021
Neuromorphic
photonics
has
recently
emerged
as
a
promising
hardware
accelerator,
with
significant
potential
speed
and
energy
advantages
over
digital
electronics,
for
machine
learning
algorithms
such
neural
networks
of
various
types.
Integrated
photonic
are
particularly
powerful
in
performing
analog
computing
matrix-vector
multiplication
(MVM)
they
afford
unparalleled
bandwidth
density
data
transmission.
Incorporating
nonvolatile
phase-change
materials
integrated
devices
enables
indispensable
programming
in-memory
capabilities
on-chip
optical
computing.
Here,
we
demonstrate
multimode
core
consisting
an
array
programable
mode
converters
based
on
metasurface
made
materials.
The
programmable
utilize
the
refractive
index
change
material
Ge-Sb-Te
during
phase
transition
to
control
waveguide
spatial
modes
very
high
precision
up
64
levels
modal
contrast.
This
contrast
is
used
represent
matrix
elements,
6-bit
resolution
both
positive
negative
values,
perform
MVM
computation
network
algorithms.
We
convolutional
that
can
image
processing
classification
tasks
accuracy.
With
broad
operation
compact
device
footprint,
demonstrated
toward
large-scale
processor
high-throughput
networks.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: March 30, 2022
Phase-change
materials
(PCMs)
offer
a
compelling
platform
for
active
metaoptics,
owing
to
their
large
index
contrast
and
fast
yet
stable
phase
transition
attributes.
Despite
recent
advances
in
phase-change
metasurfaces,
fully
integrable
solution
that
combines
pronounced
tuning
measures,
i.e.,
efficiency,
dynamic
range,
speed,
power
consumption,
is
still
elusive.
Here,
we
demonstrate
an
situ
electrically
driven
tunable
metasurface
by
harnessing
the
full
potential
of
PCM
alloy,
Ge2Sb2Te5
(GST),
realize
non-volatile,
reversible,
multilevel,
fast,
remarkable
optical
modulation
near-infrared
spectral
range.
Such
reprogrammable
presents
record
eleven-fold
change
reflectance
(absolute
reaching
80%),
unprecedented
quasi-continuous
over
250
nm,
switching
speed
can
potentially
reach
few
kHz.
Our
scalable
heterostructure
architecture
capitalizes
on
integration
robust
resistive
microheater
decoupled
from
optically
smart
enabling
good
modal
overlap
with
ultrathin
layer
largest
sustain
high
scattering
efficiency
even
after
several
reversible
transitions.
We
further
experimentally
reconfigurable
gradient
capable
steering
incident
light
beam
into
different
diffraction
orders.
This
work
represents
critical
advance
towards
development
metasurfaces
beamforming
applications.
PhotoniX,
Journal Year:
2022,
Volume and Issue:
3(1)
Published: Oct. 26, 2022
Abstract
Optical
phase
shifters
constitute
the
fundamental
building
blocks
that
enable
programmable
photonic
integrated
circuits
(PICs)—the
cornerstone
of
on-chip
classical
and
quantum
optical
technologies
[1,
2].
Thus
far,
carrier
modulation
thermo-optical
effect
are
chosen
phenomena
for
ultrafast
low-loss
shifters,
respectively;
however,
state
information
they
carry
lost
once
power
is
turned
off—they
volatile.
The
volatility
not
only
compromises
energy
efficiency
due
to
their
demand
constant
supply,
but
also
precludes
them
from
emerging
applications
such
as
in-memory
computing.
To
circumvent
this
limitation,
we
introduce
a
shifting
mechanism
exploits
nonvolatile
refractive
index
upon
structural
transition
Sb
2
Se
3
,
bi-state
transparent
change
material
(PCM).
A
zero-static
electrically-driven
shifter
realized
on
CMOS-backend
silicon-on-insulator
platform,
featuring
record
up
0.09
π/µm
low
insertion
loss
0.3
dB/π,
which
can
be
further
improved
streamlined
design.
Furthermore,
demonstrate
extinction
ratio
trimming
ring
resonators
pioneer
one-step
partial
amorphization
scheme
enhance
speed
PCM
devices.
diverse
cohort
devices
demonstrated
based
ultra-compact
shifter.
Advanced Optical Materials,
Journal Year:
2021,
Volume and Issue:
9(9)
Published: March 4, 2021
Abstract
Phase
change
materials
(PCMs)
have
long
been
used
as
a
storage
medium
in
rewritable
compact
disk
and
later
random
access
memory.
In
recent
years,
integration
of
PCMs
with
nanophotonic
structures
has
introduced
new
paradigm
for
non‐volatile
reconfigurable
optics.
However,
the
high
loss
archetypal
PCM
Ge
2
Sb
Te
5
both
visible
telecommunication
wavelengths
fundamentally
limited
its
applications.
S
3
recently
emerged
wide‐bandgap
transparency
windows
ranging
from
610
nm
to
near‐IR.
this
paper,
strong
optical
phase
modulation
low
are
experimentally
demonstrated
first
time
integrated
photonic
platforms
at
750
1550
nm.
As
opposed
silicon,
thermo‐optic
coefficient
is
shown
be
negative,
making
–Si
hybrid
platform
less
sensitive
thermal
fluctuation.
Finally,
microring
switch
which
can
tuned
electrically
between
transmission
state
contrast
over
30
dB.
This
work
verifies
prominent
modification
wavelength
ranges
relevant
solid‐state
quantum
emitter
telecommunication,
enabling
potential
applications
such
field
programmable
gate
array,
post‐fabrication
trimming,
large‐scale
network.
Photonics Research,
Journal Year:
2022,
Volume and Issue:
10(9), P. A106 - A106
Published: June 3, 2022
In
recent
years,
optical
modulators,
photodetectors,
(de)multiplexers,
and
heterogeneously
integrated
lasers
based
on
silicon
platforms
have
been
verified.
The
performance
of
some
devices
even
surpasses
the
traditional
III-V
photonic
circuit
(PIC)
platforms,
laying
foundation
for
large-scale
integration.
Silicon
technology
can
overcome
limitations
transceiver
in
high-speed
transmission
networks
to
support
faster
interconnection
between
data
centers.
this
article,
we
will
review
progress
PICs.
first
part
gives
an
overview
achievements
second
introduces
building
blocks,
including
low-loss
waveguides,
passive
devices,
lasers,
so
on.
third
part,
high-capacity
transceivers
is
discussed.
fourth
give
a
chip.