Synaptic devices based on silicon carbide for neuromorphic computing
B.J. Ye,
No information about this author
Xiao Liu,
No information about this author
Chao Wu
No information about this author
et al.
Journal of Semiconductors,
Journal Year:
2025,
Volume and Issue:
46(2), P. 021403 - 021403
Published: Feb. 1, 2025
Abstract
To
address
the
increasing
demand
for
massive
data
storage
and
processing,
brain-inspired
neuromorphic
computing
systems
based
on
artificial
synaptic
devices
have
been
actively
developed
in
recent
years.
Among
various
materials
investigated
fabrication
of
devices,
silicon
carbide
(SiC)
has
emerged
as
a
preferred
choices
due
to
its
high
electron
mobility,
superior
thermal
conductivity,
excellent
stability,
which
exhibits
promising
potential
applications
harsh
environments.
In
this
review,
progress
SiC-based
is
summarized.
Firstly,
an
in-depth
discussion
conducted
regarding
categories,
working
mechanisms,
structural
designs
these
devices.
Subsequently,
several
application
scenarios
are
presented.
Finally,
few
perspectives
directions
their
future
development
outlined.
Language: Английский
Two-Dimensional Reconfigurable Electronic and Optoelectronic Devices: From Modulation to Applications
Qiman Zhang,
No information about this author
Ziheng Zhao,
No information about this author
Li Tao
No information about this author
et al.
Materials Today Physics,
Journal Year:
2025,
Volume and Issue:
unknown, P. 101710 - 101710
Published: March 1, 2025
Language: Английский
Physical mechanisms and integration design of memristors
Mengna Wang,
No information about this author
Kun Wang,
No information about this author
Bai Sun
No information about this author
et al.
Materials Today Nano,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100628 - 100628
Published: April 1, 2025
Language: Английский
Chelated Tin Halide Perovskite for Near-Infrared Neuromorphic Imaging Array Enabling Object Recognition and Motion Perception
Xiangyue Meng,
No information about this author
Tianhua Liu,
No information about this author
Ziquan Yuan
No information about this author
et al.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 6, 2025
Abstract
Novel
neuromorphic
imaging
arrays
integrate
photonic
perception,
memory,
and
process
capability,
enabling
intelligent
with
efficient
spatial
temporal
data
fusion
for
object
recognition,
enhancement,
motion
perception
in
autonomous
vehicles
surveillance
systems,
surpassing
the
limitations
of
conventional
charge-coupled
device
(CCD)
complementary
metal
oxide
semiconductor
(CMOS)
image
sensors.
Halide
perovskites
hold
significant
promise
due
to
their
capacity
simultaneously
manipulate
photogenerated
ions
electronic
charges,
thereby
facilitating
development
sophisticated
systems
based
on
intrinsic
material
dynamics.
However,
limited
response
range
(ultraviolet-visible
spectrum)
toxic
nature
lead
remain
unresolved
perovskite-based
applications.
Here,
we
present
lead-free
non-toxic
CH(NH
2)
2SnI
3
(FASnI
3)
low-toxicity
components,
excellent
optoelectronic
properties,
superior
near-infrared
by
multi-site
chelate
effect
bio-friendly
quercetin
(QR)
molecules.
Coupled
mechanism
non-equilibrium
carrier
strategy,
(NIR)
synapse
FASnI
3-QR
perovskite
films
exhibited
key
synaptic
characteristics
practical
applications,
including
quasi-linear
time-dependent
photocurrent
generation,
prolonged
decay,
low
energy
consumption.
Ultimately,
12×12
real-time
NIR
array
was
successfully
constructed
thin-film
transistor
(TFT)
backplanes
through
heterogeneous
integration
devices
Si
circuits,
which
enables
spatiotemporal
information
complex
environments
at
hardware
level.
Language: Английский
Emerging Optoelectronic Applications of Sliding Ferroelectricity
Shuang Du,
No information about this author
Jijian Liu,
No information about this author
Shoujun Zheng
No information about this author
et al.
Advanced Materials Technologies,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 2, 2025
Abstract
Sliding
ferroelectricity,
a
novel
type
of
is
discovered
in
some
van
der
Waals
materials,
where
polarization
switching
can
be
achieved
through
in‐plane
interlayer
sliding.
The
ferroelectric
involves
atomic
displacements
during
the
process,
which
makes
sliding
materials
advantageous
terms
high
speed,
low
barriers,
and
fatigue
resistance
contrast
to
conventional
bulk
materials.
specific
mechanism
creates
an
opportunity
for
exploring
numerous
practical
applications
such
as
high‐speed
storage,
photovoltaic
effect,
neuromorphic
computing.
In
this
review,
recently
emerging
are
aimed
summarize
prospect
future
developing
tendency
First,
mechanisms
typical
characterization
methods
briefly
introduced.
Second,
recent
progress
summarized
including
field‐effect
transistors,
tunneling
junction,
memristor,
multi‐bit
superconductivity,
random‐access
memory,
ultra‐fast
optical
response,
effect.
Finally,
outlook
on
potential
provided
offer
insight
into
current
challenges
further
development
advanced
optoelectronic
devices
based
ferroelectricity.
Language: Английский
Chelated Tin Halide Perovskite for Near-Infrared Neuromorphic Imaging Array Enabling Object Recognition and Motion Perception in Complex Environments
Xiangyue Meng,
No information about this author
Tianhua Liu,
No information about this author
Ziquan Yuan
No information about this author
et al.
Published: April 4, 2025
Abstract
Novel
neuromorphic
imaging
arrays
integrate
photonic
perception,
memory,
and
process
capability,
enabling
intelligent
with
efficient
spatial
temporal
data
fusion
for
object
recognition,
enhancement,
motion
perception
in
autonomous
vehicles
surveillance
systems,
surpassing
the
limitations
of
conventional
charge-coupled
device
(CCD)
complementary
metal
oxide
semiconductor
(CMOS)
image
sensors.
Halide
perovskites
hold
significant
promise
due
to
their
capacity
simultaneously
manipulate
photogenerated
ions
electronic
charges,
thereby
facilitating
development
sophisticated
systems
based
on
intrinsic
material
dynamics.
However,
limited
response
range
(ultraviolet-visible
spectrum)
toxic
nature
lead
remain
unresolved
perovskite-based
applications.
Here,
we
present
lead-free
non-toxic
CH(NH
2)
2SnI
3
(FASnI
3)
low-toxicity
components,
excellent
optoelectronic
properties,
superior
near-infrared
by
multi-site
chelate
effect
bio-friendly
quercetin
(QR)
molecules.
Coupled
mechanism
non-equilibrium
carrier
strategy,
(NIR)
synapse
FASnI
3-QR
perovskite
films
exhibited
key
synaptic
characteristics
practical
applications,
including
quasi-linear
time-dependent
photocurrent
generation,
prolonged
decay,
low
energy
consumption.
Ultimately,
12×12
real-time
NIR
array
was
successfully
constructed
thin-film
transistor
(TFT)
backplanes
through
heterogeneous
integration
devices
Si
circuits,
which
enables
spatiotemporal
information
complex
environments
at
hardware
level.
Language: Английский
Chelated tin halide perovskite for near-infrared neuromorphic imaging array enabling object recognition and motion perception
Tianhua Liu,
No information about this author
Ziquan Yuan,
No information about this author
Lixia Wang
No information about this author
et al.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: May 7, 2025
Neuromorphic
imaging
arrays
integrate
sensing,
memory,
and
processing
for
efficient
spatiotemporal
fusion,
enabling
intelligent
object
motion
recognition
in
autonomous
surveillance
systems.
Halide
perovskites
offer
potential
neuromorphic
by
regulating
photogenerated
ions
charges,
but
lead
toxicity
limited
response
range
remain
key
limitations.
Here,
we
present
lead-free
non-toxic
formamidinium
tin
triiodide
functionalized
with
bio-friendly
quercetin
molecules
via
a
multi-site
chelate
strategy,
achieving
favorable
near-infrared
optoelectronic
properties.
Leveraging
non-equilibrium
carrier
the
triiodide-quercetin
based
synapses
exhibit
synaptic
features
practical
applications,
including
quasi-linear
time-dependent
photocurrent
generation,
prolonged
decay,
high
stability,
low
energy
consumption.
Ultimately,
12
×
real-time
array
is
constructed
on
thin-film
transistor
backplanes,
hardware-level
fusion
robust
perception
complex
environments
Language: Английский
Interface Charge Engineering in Ferroelectric Neuristors for a Complete Machine Vision System
Qinyong Dai,
No information about this author
Mengjiao Pei,
No information about this author
Jianhang Guo
No information about this author
et al.
The Journal of Physical Chemistry Letters,
Journal Year:
2024,
Volume and Issue:
unknown, P. 12068 - 12075
Published: Nov. 26, 2024
The
rapid
advancement
of
artificial
intelligence
has
driven
the
demand
for
hardware
solutions
neuromorphic
pathways
to
effectively
mimic
biological
functions
human
visual
system.
However,
current
machine
vision
systems
(MVSs)
fail
fully
replicate
retinal
and
lack
ability
update
weights
through
all-optical
pulses.
Here,
by
employing
rational
interface
charge
engineering
via
varying
trapping
layer
thickness
PMMA,
we
determine
that
ferroelectric
polarization
our
neuristors
can
be
flexibly
manipulated
light
or
electrical
This
capability
enables
dynamic
modulation
device's
optoelectronic
characteristics,
facilitating
a
complete
MVS.
As
front-end
sensors,
devices
with
thickest
PMMA
(∼32
nm)
demonstrate
autonomous
adaptation
while
those
thinnest
(∼2
exhibit
bidirectional
photoresponse
characteristics
akin
bipolar
cells.
Furthermore,
as
components
back-end
processor,
conductances
these
moderate
(∼12
updated
linearly
Our
MVS,
constructed
neuristors,
achieved
an
impressive
recognition
accuracy
93%
in
handwritten
digit
tasks
under
extreme
lighting
conditions.
work
offers
effective
strategy
development
energy-efficient
highly
integrated
intelligent
MVSs.
Language: Английский