FlexMat.,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 16, 2024
Abstract
Biological
neural
systems,
composed
of
neurons
and
synaptic
networks,
exhibit
exceptional
capabilities
in
signal
transmission,
processing,
integration.
Inspired
by
the
mechanisms
these
researchers
have
been
dedicated
to
developing
artificial
systems
based
on
flexible
devices
that
effectively
mimic
functions
biological
synapses,
providing
hardware
support
for
advancement
intelligence.
In
recent
years,
ionic
gels,
known
their
high
conductivity
intuitive
mimicry,
utilized
development
ionic‐gel
synapses
(IGSs).
They
are
considered
ideal
materials
next
wearable
generation
neuromorphic
systems.
This
review
introduces
IGS
summarizes
progress
IGS‐based
Additionally,
key
challenges
future
prospects
related
IGSs
outlined,
potential
suggestions
provided.
npj 2D Materials and Applications,
Journal Year:
2024,
Volume and Issue:
8(1)
Published: Dec. 21, 2024
The
scalability
of
two-dimensional
(2D)
materials
down
to
a
single
monolayer
offers
exciting
prospects
for
high-speed,
energy-efficient,
scalable
memristors.
This
review
highlights
the
development
2D
material-based
memristors
and
potential
applications
beyond
memory,
including
neuromorphic,
in-memory,
in-sensor,
complex
computing.
also
encompasses
challenges
future
opportunities
advancing
these
technologies,
underscoring
transformative
impact
on
versatile
sustainable
electronic
devices
systems.
Nanomaterials,
Journal Year:
2024,
Volume and Issue:
14(21), P. 1724 - 1724
Published: Oct. 29, 2024
Two-dimensional
(2D)
semiconductor
components
have
excellent
physical
attributes,
such
as
mechanical
ductility,
high
mobility,
low
dielectric
constant,
and
tunable
bandgap,
which
attracted
much
attention
to
the
fields
of
flexible
devices,
optoelectronic
conversion,
microelectronic
devices.
Additionally,
one-dimensional
(1D)
materials
with
unique
surface
area
potency,
show
great
potential
in
many
applications.
However,
isolated
1D
2D
often
do
not
meet
demand
for
multifunctionality.
Therefore,
more
functionality
is
achieved
by
reconstructing
new
composite
structures
from
materials,
according
current
study,
it
has
been
demonstrated
that
hybrid
dimensional
integration
yields
a
significant
enhancement
performance
functionality,
widely
promising
field
constructing
novel
electronic
nanodevices.
In
this
review,
we
first
briefly
introduce
preparation
methods
1D/2D
heterostructures,
well
their
advantages
limitations.
The
applications
heterostructures
photodetectors,
gas
sensors,
pressure
strain
photoelectrical
synapses
biosensors
are
then
discussed,
along
opportunities
challenges
Finally,
outlook
emerging
heterojunction
given.
Nanoscale Horizons,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
Te
doping
facilitates
the
formation
of
Se
vacancies
in
wafer-scale
MoSe
2
,
thereby
enabling
memory
functions
for
optoelectronic
synapses
via
trapping
photocarriers.
Small,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 2, 2025
Abstract
Metal‐oxide
semiconductor‐based
optoelectronic
synaptic
transistors
have
attracted
considerable
attention
due
to
their
high
energy
efficiency
and
stability.
This
work
proposes
a
novel
WO
3
/InWZnO
heterojunction
transistor,
demonstrating
the
strong
potential
for
emulating
human
visual
system.
The
fabricated
transistor
achieves
an
impressive
optical
responsivity
of
58.37
A
W
−1
when
exposed
650
nm
light.
Furthermore,
it
successfully
emulates
transitions
from
short‐term
memory
(STM)
long‐term
(LTM)
by
modulating
pulse
duration,
illumination
intensity,
number.
also
exhibits
optimal
paired‐pulse
facilitation
(PPF)
index
176%
post‐tetanic
potentiation
(PTP)
890%
under
460
light
illumination.
It
demonstrates
multilevel
storage
capability
via
photogating
effect.
multilayer
perceptron
(MLP)
model,
employing
weights
modulated
650,
525,
in
(LTP)
region
electrical
stimuli
depression
(LTD)
region,
recognition
accuracy
87.4%
severely
distorted
handwritten
digits.
Finally,
U‐Net
architecture
is
adopted
evaluate
image
segmentation
performance
through
RGB
channels,
revealing
74.5%,
feasibility
proposed
advanced
neuromorphic
vision
system
applications.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 13, 2024
Abstract
Solution‐processed
memristor
devices
hold
significant
potential
for
advancing
synaptic
applications,
offering
scalable,
cost‐effective,
and
efficient
solutions
next‐generation
neuromorphic
systems.
These
replicate
the
behavior
of
biological
synapses
with
their
gradual
continuous
changes
in
resistance,
making
them
promising
computing
artificial
neural
networks.
However,
understanding
temporal
characteristics
cumulative
effect
successive
pulses
on
is
essential
emulating
dynamics
synapses.
This
study
proposes
a
hybrid
materials‐based
conductive
islands‐assisted
resistive
switching
(CIARS)
solution‐processed
active
layer
consisting
thermally
exfoliated
graphitic
carbon
nitride
(g‐C
3
N
4
abbreviated
as
CN)
nanosheets
embedded
silver
nanoparticles
(Ag
NPs).
The
fabricated
demonstrate
repeatable
bipolar
memory
features
lower
operating
voltage
(≤0.5
V
),
frequency
amplitude‐dependent
plasticities.
threshold
occurs
due
to
formation
conduction
filaments
(CFs)
ion
+
whereas
analog
results
from
pulse‐dependent
modulation
Schottky
barrier
height
combined
metallic
CFs
formation.
experimental
findings
efficacy
CIARS
mechanism
within
material
platform,
highlighting
its
applications
associative
learning,
Morse
code
detection,
image
recognition.
