Enhanced In-Sensor Computing with Spike Number-Dependent Plasticity Characteristics in an InGaSnO Optical Neuromorphic Device for Accelerating Machine Vision
ACS Nano,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 27, 2025
In-sensor
computing
systems
based
on
optical
neuromorphic
devices
have
attracted
increasing
attention
to
improve
the
efficiency
and
accuracy
of
machine
vision
systems.
However,
most
materials
used
in
exhibit
spike
timing-dependent
plasticity
(STDP)
behavior
response
input
light
signals,
leading
complex
in-sensor
reduced
accuracy.
To
address
this
issue,
we
introduce
an
indium
gallium
tin
oxide
(IGTO)
semiconductor
designed
enhance
number-dependent
(SNDP)
signals
while
eliminating
STDP
behavior.
Here,
IGTO-based
device
shows
enhanced
SNDP
characteristics,
which
are
attributed
strong
Sn–O
bonding,
as
verified
by
photoemission
spectroscopy
(PES)
analysis.
The
consistently
reaches
same
conduction
state
after
8
pulses
regardless
pulse
timing
also
achieves
a
number
even
when
15
different
sets
applied.
These
results
characteristics
device.
Notably,
with
SNDP-enhanced
reduces
multilayer
perceptron
(MLP)
training
time
87.7%
achieving
high
classification
This
study
demonstrates
that
significant
potential
accelerate
learning
for
highly
efficient
Язык: Английский
A Violet‐Light‐Responsive ReRAM Based on Zn2SnO4/Ga2O3 Heterojunction as an Artificial Synapse for Visual Sensory and In‐Memory Computing
Advanced Electronic Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 9, 2024
Abstract
Due
to
the
imitation
of
neural
functionalities
human
brain
via
optical
modulation
resistance
states,
photoelectric
resistive
random
access
memory
(ReRAM)
devices
attract
extensive
attraction
for
synaptic
electronics
and
in‐memory
computing
applications.
In
this
work,
a
ReRAM
(PSR)
structure
ITO/Zn
2
SnO
4
/Ga
O
3
/ITO/glass
with
simple
fabrication
process
is
reported
imitate
plasticity.
Electrically
induced
long‐term
potentiation/depression
(LTP/D)
behavior
indicates
fulfillment
fundamental
requirement
artificial
neuron
devices.
Classification
three‐channeled
images
corrupted
different
levels
(0.15–0.9)
Gaussian
noise
achieved
by
simulating
convolutional
network
(CNN).
The
violet
light
(405
nm)
illumination
generates
excitatory
post
current
(EPSC),
which
influenced
persistent
photoconductivity
(PPC)
effect
after
discontinuing
excitation.
As
an
device,
PSR
able
some
basic
functions
such
as
multi‐levels
linearly
increasing
trend,
learning‐forgetting‐relearning
behavior.
same
device
also
shows
emulation
visual
persistency
optic
nerve
skin‐damage
warning.
This
executes
high‐pass
filtering
function
demonstrates
its
potential
in
image‐sharpening
process.
These
findings
provide
avenue
develop
oxide
semiconductor‐based
multifunctional
advanced
systems.
Язык: Английский
A novel approach for tool-narayanaswamy-moynihan model parameter extraction using multi-scale neural model
Materials Chemistry and Physics,
Год журнала:
2024,
Номер
329, С. 130107 - 130107
Опубликована: Ноя. 7, 2024
Язык: Английский
Visible-Light-Stimulated Optoelectronic Neuromorphic Transistor Based on Indium–Gallium–Zinc Oxide via Bi2Te3 Light Absorption Layer
ACS Applied Materials & Interfaces,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 2, 2024
To
emulate
a
visual
perception
system,
bismuth
telluride
(Bi
Язык: Английский
Pseudologic Optical Circuit Method for Advanced Color Sensing in IGZO Phototransistor Arrays with Chlorophyll Absorption Layers
ACS Applied Materials & Interfaces,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 2, 2024
Recently,
the
elimination
of
color
filters
has
become
a
key
focus
in
photodetector
research
because
potential
to
create
more
compact
and
cost-effective
sensor
systems.
In
this
study,
novel
concept
filter-free
color-discrimination
photosensor
using
an
indium
gallium
zinc
oxide
(IGZO,
In/Ga/Zn
=
3.1:2.6:1.0)-based
phototransistor
with
integrated
chlorophyll
absorption
layer
(CAL)
solution-processed
(SAL)
was
developed.
Chlorophyll,
known
for
its
role
photosynthesis
as
natural
light
absorber,
offers
distinct
characteristics
compared
conventional
photodetectors
(i.e.,
SAL/IGZO),
whereby
photoresponsivity
decreases
increasing
wavelength.
Using
ability
absorb
blue
red
light,
proposed
CAL/IGZO
exhibited
higher
than
green
light.
The
device
achieved
1570
A/W
681
photosensitivity
8.35
×
105
8.96
104
detectivity
8.47
1011
6.80
1010
Jones,
respectively,
under
illumination
intensity
1
mW/mm2.
Furthermore,
by
integrating
SAL/IGZO
phototransistor,
which
different
order
photoresponse
across
RGB
wavelengths,
innovative
pixel
pseudologic
circuit
successfully
capability
distinguish
colors
various
intensities
validated
through
experimental
data
SPICE
simulations,
output
voltage
ranges
confirmed
−2.61
−3.51
V
red,
1.56
2.69
green,
−0.22
−0.68
over
from
0.1
3
This
approach
allows
effective
detection
without
filters,
providing
advanced
solution
photodetection
technologies.
Язык: Английский
Emerging materials for resistive switching memories: Prospects for enhanced sustainability and performance for targeted applications
APL Energy,
Год журнала:
2024,
Номер
2(4)
Опубликована: Дек. 1, 2024
Resistive
switching
(RS)
memories
are
novel
devices
that
have
attracted
significant
attention
recently
in
view
of
their
potential
integration
deep
neural
networks
for
intense
big
data
processing
within
the
explosive
artificial
intelligence
era.
While
oxide-
or
silicon-based
memristive
been
thoroughly
studied
and
analyzed,
there
alternative
material
technologies
compatible
with
lower
manufacturing
cost
less
environmental
impact
exhibiting
RS
characteristics,
thus
providing
a
versatile
platform
specific
in-memory
computing
neuromorphic
applications
where
sustainability
is
priority.
The
these
emerging
based
on
solution-processed
methods
at
low
temperatures
onto
flexible
substrates,
some
cases,
active
layer
composed
natural,
environmentally
friendly
materials
replacing
expensive
deposition
critical
raw
toxic
materials.
In
this
Perspective,
we
provide
an
overview
recent
developments
field
sustainable
by
insights
into
fundamental
properties
mechanisms,
categorizing
key
figures
merit
while
showcasing
representative
use
cases
each
technology.
challenges
limitations
practical
analyzed
along
suggestions
to
resolve
pending
issues.
Язык: Английский
All-optically Controlled Memristive Device Based on Cu2O/TiO2 Heterostructure Toward Neuromorphic Visual System
Research,
Год журнала:
2024,
Номер
8
Опубликована: Дек. 27, 2024
The
optoelectronic
memristor
integrates
the
multifunctionalities
of
image
sensing,
storage,
and
processing,
which
has
been
considered
as
leading
candidate
to
construct
novel
neuromorphic
visual
system.
In
particular,
memristive
materials
with
all-optical
modulation
complementary
metal
oxide
semiconductor
(CMOS)
compatibility
are
highly
desired
for
energy-efficient
perception.
As
a
p-type
material,
Cu
Язык: Английский