Small Methods,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 8, 2024
Abstract
To
enhance
the
efficiency
of
machine
vision
system,
physical
hardware
capable
sensing
and
encoding
is
essential.
However,
color
information
has
been
overlooked.
Therefore,
this
work
utilizes
an
indium‐gallium‐zinc
oxide
(IGZO)
phototransistor
to
detect
varying
densities
red,
green,
blue
(RGB)
light,
converting
them
into
corresponding
drain
current
(I
D
)
states.
By
applying
stochastic
gate
voltage
(V
G
pulses
IGZO
phototransistor,
fluctuations
are
generated
in
these
I
When
exceeds
threshold
TC
),
a
spike
signal
generated.
This
approach
enables
conversion
light
signals,
achieving
spike‐rate
encoding.
Moreover,
adjusting
standard
deviation
(σ)
V
controls
range
converted
rates,
while
altering
mean
(μ)
changes
baseline
level
rates.
Remarkably,
separate
RGB
channels
offer
tunable
process,
which
can
emphasize
individual
colors
correct
bias.
The
encoded
rates
also
fed
spiking
neural
network
(SNN)
for
CIFAR‐10
pattern
recognition,
accuracy
86%.
method
allows
operation
SNN
shows
tunability
process
light‐to‐spike
encoding,
opening
possibilities
image
processing.
Advanced Functional Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 19, 2025
Abstract
With
the
rapid
advancement
of
2D
material‐based
optoelectronic
devices,
significant
progress
is
made
in
development
all‐optical
logic
synaptic
biomimetic
and
multidimensional
detection
systems.
As
entering
to
high‐speed
information
era,
there
an
urgent
demand
for
complex,
compact,
multifunctional,
low‐energy,
intelligent
sensing
chips.
Examining
evolution
current
technologies
reveals
a
parallel
bipolar
response
mechanisms‐from
simple
positive
negative
responses
more
intricate
inhibition‐promotion
dynamics
with
persistent
characteristics.
This
significantly
broadens
their
applications
devices.
Moreover,
compared
unipolar
responses,
complex
offer
greater
flexibility
adaptation
unique
one‐to‐one
mapping
high‐dimensional
parameters
such
as
polarization,
phase,
spectrum,
positioning
them
promising
candidates
breakthroughs
resolution.
In
this
review,
design
strategies
are
comprehensively
explored
various
materials,
highlighting
deep
advanced
fields.
It
aimed
review
provide
broad
overview
bi‐directional
mechanisms,
offering
inspiration
designing
next
generation
Nano Letters,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 10, 2025
With
the
rapid
development
of
artificial
intelligence,
it
is
essential
to
develop
a
bionic
vision
sensor
that
boasts
low
power
consumption,
self-adaptability,
and
broadband
sensing
for
efficient
image
preprocessing.
We
employed
an
organic
p-type
semiconductor,
poly(3-hexylthiophene-2,5-diyl)
(P3HT),
in
conjunction
with
Al
electrode
engineer
Schottky
junction.
This
design
leverages
photogating
effect
due
charge
trapping
by
defects
at
P3HT/Al
interface,
endowing
this
self-powered,
two-terminal
device
photopic
adaptability.
The
1.9
eV
bandgap
P3HT
enables
substantial
light
absorption
within
visible
spectrum,
yielding
significant
photocurrent.
By
assembling
50
photoelectric
sensors
into
10
×
5
array,
we
successfully
demonstrated
formation
process
emulates
adaptation,
specifically
recognizing
letters.
easily
fabricated,
self-powered
retinomorphic
has
great
potential
mimic
retinal
structures,
thereby
heralding
new
frontier
visual
sensory
devices.
Journal of Semiconductors,
Journal Year:
2025,
Volume and Issue:
46(2), P. 021404 - 021404
Published: Feb. 1, 2025
Abstract
Recently,
for
developing
neuromorphic
visual
systems,
adaptive
optoelectronic
devices
become
one
of
the
main
research
directions
and
attract
extensive
focus
to
achieve
transistors
with
high
performances
flexible
functionalities.
In
this
review,
based
on
a
description
biological
functions
that
are
favorable
dynamically
perceiving,
filtering,
processing
information
in
varying
environment,
we
summarize
representative
strategies
achieving
these
adaptabilities
transistors,
including
adaptation
detecting
information,
synaptic
weight
change,
history-dependent
plasticity.
Moreover,
key
points
corresponding
comprehensively
discussed.
And
applications
color
detection,
signal
extending
response
range
light
intensity,
improve
learning
efficiency,
also
illustrated
separately.
Lastly,
challenges
faced
transistor
artificial
vision
system
The
inspired
expected
provide
insights
design
application
next-generation
systems.
Optics Letters,
Journal Year:
2025,
Volume and Issue:
50(5), P. 1633 - 1633
Published: Feb. 13, 2025
Defects
and
noise
in
Ga
2
O
3
detectors
have
traditionally
limited
their
practical
application.
In
this
work,
by
reducing
the
triethylgallium
flow
from
200
sccm
to
50
sccm,
oxygen
vacancy
was
effectively
suppressed,
leading
a
transition
Lorentzian
flicker-type,
with
significant
decrease
current
0.15
nA
1.01
pA.
This
improvement
enhanced
detector’s
performance,
yielding
high
sensitivity
(3.72
A/W),
fast
response
time
(
τ
d1
/
d2
=
1.6/13
ms),
solar-blind
detection
characteristics.
Leveraging
low-noise
detector,
an
8
×
photodetector
array
UV
imaging
system
were
developed,
capable
of
target
identification
at
distances
up
m,
detecting
radiation
intensities
2.6
μW/cm
,
capturing
real-time
spatial
movement
point
light
sources.
These
advancements
mark
contribution
development
high-speed,
high-sensitivity,
systems.
Advanced Optical Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 18, 2025
Abstract
The
development
of
hardware‐level
synaptic
systems
is
crucial
for
enabling
the
advancement
modern
humanoid
robotics
and
artificial
intelligence
to
emulate
biological
vision.
While
optoelectronic
synapses
offer
a
promising
solution,
current
implementations
often
require
complex
multi‐material
integration
floating
gate
configurations,
hindering
scalability
energy
efficiency.
Here,
two‐terminal
device
based
on
AlGaN/GaN
heterostructures
that
integrates
sensing
memory
functionalities
into
single
introduced.
By
optimizing
architecture
through
oxygen
plasma
treatment,
UV
sensitivity
significantly
enhanced
carrier
recombination
reduced,
perceive
weak
light
(0.15
µW
cm⁻
2
)
with
ultralow
consumption
(25.3
fJ
per
event).
This
exhibits
rich
behaviors,
including
paired‐pulse
facilitation,
short‐term
plasticity,
long‐term
essential
emulating
learning
processes.
Furthermore,
its
potential
diverse
information
processing
tasks
such
as
photonic
encryption,
associative
learning,
forgetting
demonstrated.
work
paves
way
highly
integrated,
energy‐efficient
neuromorphic
capable
mimicking
complexity
efficiency
human
brain.
Nano Letters,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 20, 2025
Developing
optoelectronic
synaptic
devices
with
low
power
consumption,
broadband
response,
and
biological
compatibility
is
crucial
to
simulate
the
functions
of
optic
nerve.
Here,
an
organic
synapse
transistor
based
on
C8-BTBT/PMMA/PbS
quantum
dots
(PbS
QDs)
fabricated,
which
has
good
stability,
consumption
(as
as
0.49
fJ
per
event
under
800
nm
near-infrared
optical
pulse),
response
from
ultraviolet
wavelengths.
Based
trap
release
photogenerated
carriers
by
PbS
QDs,
a
series
behaviors
are
simulated
device.
Furthermore,
we
use
artificial
neural
network
model
realize
recognition
facial
feature
image
in
broad
spectral
range;
rate
reached
96.25%
(350
ultraviolet),
92.14%
(580
visible),
90.03%
(800
near-infrared).
This
work
beneficial
for
advancing
development
future
intelligence
vision
sensing.
Small,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 5, 2025
As
neuromorphic
computing
systems,
which
allow
for
parallel
data
storage
and
processing
with
high
area
energy
efficiency,
show
great
potential
future
in-memory
technologies.
In
this
article,
a
high-performance
UV
detector
artificial
optical
synapse
applications
is
demonstrated
that
can
selectively
detect
UV-A
UV-C,
responsivity
of
407
A
W-1.
The
pyrophototronic
effect
increases
photocurrent
dramatically
under
irradiation
due
to
heat
accumulation
in
the
ZnO
layer
ZnGa2O4's
low
thermal
conductivity.
context
synaptic
device,
it's
shown
ZnO/ZnGa2O4
heterostructure
be
used
as
light-tunable
charge
trapping
medium
create
an
electro-photoactive
synapse.
photogating
enables
via
pyrophototronic,
traps
photogenerated
electrons
within
interface,
drives
activity,
proven
by
electrical
techniques
based
on
stimuli.
This
phenomenon
results
selective
detection
capability
over
UV-C.
Thermally
produced
plasticity,
simulating
biological
activity.
Persistent
photoconductivity
380
(UV-A)
nm
light
mimics
processes,
conductivity
enhancing
weight
updates
during
learning
forgetting.
These
findings
possibility
using
heterostructures
into
optoelectronic
systems
controlled
dynamics.
Deleted Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 25, 2025
Abstract
Research
on
optoelectronic
synapses
that
can
integrate
both
detection
and
processing
functions
is
essential
for
the
development
of
efficient
neuromorphic
computing.
Here,
we
experimentally
demonstrated
an
Ga
2
O
3
‐based
metal–semiconductor–metal
(MSM)
solar‐blind
ultraviolet
(UV)
photodetector
(PD)
with
asymmetric
interdigital
electrodes.
The
PD
exhibits
a
responsivity
732
A/W
under
forward
bias
6
V.
tunable
conductance
properties
PDs
provide
novel
approach
to
synaptic
performance.
proposed
as
artificial
synapse
realized
several
function,
including
excitatory
postsynaptic
current,
paired‐pulse
facilitation,
long‐term
potentiation,
transition
from
short‐term
memory
memory,
learning
experience
behaviors
successfully.
At
reverse
bias,
ultra‐low
energy
consumption
140
fJ
was
achieved.
In
addition,
recognition
accuracy
over
95%
in
MNIST
handwritten
number
task.
These
results
suggest
MSM
UV
have
high
potential
computing
applications.