Advanced Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 24, 2025
Abstract
Relaxor
antiferroelectric
(AFE)
materials
display
a
gradual
polarization
response
and
high
energy
storage
density
with
slowly
reverting
after
removing
an
external
field.
This
distinctive
polarization‐switching
behavior
closely
resembles
synaptic
plasticity
in
biological
nervous
systems,
presenting
substantial
potential
for
neuromorphic
computing
applications.
Especially,
its
2D
scenario
exhibits
unique
physical
properties
maintains
stability
at
atomic
thickness
due
to
their
antipolar
alignment,
which
effectively
eliminates
the
depolarization
field
effect.
Such
stable
relaxor
AFE
offer
significant
advantages
integrating
these
into
modern
electronic
devices
computing.
In
this
study,
of
novel
quaternary
layered
material,
CuBiP₂Se₆
(CBPS),
is
explored
device
CBPS
broad
range
light
absorption
behavior,
rendering
it
outstanding
candidate
optoelectronic
devices.
High‐quality
synthesized
through
various
characterization
techniques
are
verified.
CBPS‐based
demonstrate
dual‐mode
tunable
resistance
stimulated
by
both
electrical
optical
inputs,
demonstrating
capacity
perform
in‐sensor
image
restoration
tasks.
These
findings
suggest
that
like
could
provide
robust
platform
brain‐inspired
applications,
particularly
computing,
artificial
visual
systems.
Artificial
synapses
and
neurons
with
efficient,
high-speed,
highly
parallel
information
processing
capabilities
are
considered
to
be
a
new
direction
for
the
next
generation
of
learning,
cognition,
data
storage.
In
this
work,
we
have
integrated
photodetectors
photoelectric
synapse
in
Ta2PdS6/MoS2
van
der
Waals
heterostructures,
which
can
used
photodetection
optical
artificial
neural
networks.
We
systematically
studied
characteristics
blue-violet
near-infrared
(405
∼
1550
nm)
band.
At
633
nm,
responsivity
specific
detectivity
as
high
590.36
AW-1
5.63
×
1011
Jones,
respectively.
addition,
heterojunction
acquired
persistent
photoconductivity
behavior
due
presence
interfacial
defect
states,
was
simulate
synaptic
properties
human
brain,
such
transition
from
short-term
memory
long-term
memory,
paired-pulse
facilitation,
"learning-forgetting-relearning"
behavior,
excitatory-postsynaptic
current.
on
basis
synapse,
recognition
handwritten
digits
different
noise
levels
by
an
network
simulated,
shows
training
accuracy
(90%).
This
study
lays
foundation
development
high-performance
heterojunctions
using
two-dimensional
materials.
ACS Nano,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 26, 2025
Two-dimensional
(2D)
ferroelectric
field-effect
transistors
(Fe-FETs)
based
on
p–n
junctions
are
the
basic
units
of
future
neuromorphic
hardware.
The
In2Se3
semiconductor
with
ferroelectric,
photoelectric,
and
phase
transition
properties
possesses
great
application
potential
for
in-sensor
computing,
but
its
junction
(FePNJ)
is
not
well
investigated.
Here,
we
present
an
optoelectronic
synapse
made
uniformly
full-coverage
α-In2Se3/WSe2
FePNJ,
achieving
ultralow-power
classification
recognition
multiscale
signal
processing.
Using
chemical
vapor
deposition
(CVD),
can
obtain
β′-In2Se3/WSe2
subferroelectric
by
direct
growth
SiO2/Si
substrate
FePNJ
transition.
Modulated
synergistic
effect
polarization
electric
field
built-in
field,
exhibits
significantly
enhanced
highly
tunable
synaptic
effects
(memory
retention
>2500
s
>8
multilevel
current
states
under
single
optical/electrical
pulses),
along
power
consumption
down
to
atto-joule
levels.
Utilizing
these
photoelectric
properties,
constructed
all-ferroelectric
reservoir
computing
system,
comprising
both
readout
networks,
handwritten
digit
recognition.
We
also
created
a
system
through
gate-voltage-modulated
relaxation
time
scale
which
efficiently
detect
motions
in
1
100
km
h–1
speed
range.
Abstract
Low-dimensional
van
der
Waals
materials
have
attracted
tremendous
attention
due
to
their
exceptional
physical,
chemical,
and
mechanical
properties,
particularly
strong
anisotropy
in
structural,
electronic,
optical
behaviors.
Herein,
we
comprehensively
studied
diverse
hyperbolic
polaritons
quasi-one-dimensional
ferroelectric
material
WOBr4,
including
propagation
patterns
frequencies,
most
notably,
the
electric-field
strain-driven
elliptic-to-hyperbolic
topological
transition.
Under
moderate
uniaxial
strain
or
electric
field,
absorption
along
chain
direction
displays
a
threefold
modulation
intensity
an
approximately
1
eV
frequency
shift,
while
showing
minor
variation
perpendicular
chain.
The
pronounced
tunability
of
anisotropic
is
achieved
through
regulation
1D
polarization
by
external
stimuli,
which
controls
symmetry
breaking
atomic
orbitals
involved
transitions.
We
propose
WOBr4
as
versatile
platform
for
control
polaritons,
offering
potential
advanced
applications
photovoltaics,
optoelectronics
nanophotonics.
Advanced Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 24, 2025
Abstract
Relaxor
antiferroelectric
(AFE)
materials
display
a
gradual
polarization
response
and
high
energy
storage
density
with
slowly
reverting
after
removing
an
external
field.
This
distinctive
polarization‐switching
behavior
closely
resembles
synaptic
plasticity
in
biological
nervous
systems,
presenting
substantial
potential
for
neuromorphic
computing
applications.
Especially,
its
2D
scenario
exhibits
unique
physical
properties
maintains
stability
at
atomic
thickness
due
to
their
antipolar
alignment,
which
effectively
eliminates
the
depolarization
field
effect.
Such
stable
relaxor
AFE
offer
significant
advantages
integrating
these
into
modern
electronic
devices
computing.
In
this
study,
of
novel
quaternary
layered
material,
CuBiP₂Se₆
(CBPS),
is
explored
device
CBPS
broad
range
light
absorption
behavior,
rendering
it
outstanding
candidate
optoelectronic
devices.
High‐quality
synthesized
through
various
characterization
techniques
are
verified.
CBPS‐based
demonstrate
dual‐mode
tunable
resistance
stimulated
by
both
electrical
optical
inputs,
demonstrating
capacity
perform
in‐sensor
image
restoration
tasks.
These
findings
suggest
that
like
could
provide
robust
platform
brain‐inspired
applications,
particularly
computing,
artificial
visual
systems.