Synaptic devices based on silicon carbide for neuromorphic computing
Journal of Semiconductors,
Год журнала:
2025,
Номер
46(2), С. 021403 - 021403
Опубликована: Фев. 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.
Язык: Английский
A Biodegradable, Stretchable, Healable, and Self‐Powered Optoelectronic Synapse Based on Ionic Gelatins for Neuromorphic Vision System
Small,
Год журнала:
2024,
Номер
20(44)
Опубликована: Июль 4, 2024
Optoelectronic
synapses
have
gained
increasing
attentions
as
a
fundamental
building
block
in
the
development
of
neuromorphic
visual
systems.
However,
it
remains
challenge
to
integrate
multiple
functions
into
single
optoelectronic
synapse
that
can
be
widely
applied
wearable
artificial
intelligence
and
implantable
vision
In
this
study,
stretchable
based
on
biodegradable
ionic
gelatin
heterojunction
is
successfully
developed.
This
device
exhibits
self-powered
synaptic
plasticity
behavior
with
broad
spectral
response
excellent
elastic
properties,
yet
degrades
rapidly
upon
disposal.
After
complete
cleavage,
fully
repaired
within
1
min,
which
mainly
attributed
non-covalent
interactions
between
different
molecular
chains.
Moreover,
recovery
reprocessing
gelatins
result
properties
are
virtually
indistinguishable
from
their
original
state,
showcasing
resilience
durability
gelatins.
The
combination
biodegradability,
stretchability,
self-healing,
zero-power
consumption,
ease
large-scale
preparation,
low
cost
makes
work
major
step
forward
synapses.
Язык: Английский
1D/2D Heterostructures: Synthesis and Application in Photodetectors and Sensors
Nanomaterials,
Год журнала:
2024,
Номер
14(21), С. 1724 - 1724
Опубликована: Окт. 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.
Язык: Английский
Self‐Powered Artificial Neuron Devices: Towards the All‐In‐One Perception and Computation System
Advanced Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 18, 2025
Abstract
The
increasing
demand
for
energy
supply
in
sensing
units
and
the
computational
efficiency
of
computation
has
prompted
researchers
to
explore
novel,
integrated
technology
that
offers
high
low
consumption.
Self‐powered
enables
environmental
perception
without
external
sources,
while
neuromorphic
provides
energy‐efficient
high‐performance
computing
capabilities.
integration
self‐powered
presents
a
promising
solution
an
all‐in‐one
system.
This
review
examines
recent
developments
advancements
artificial
neuron
devices
based
on
triboelectric,
piezoelectric,
photoelectric
effects,
focusing
their
structures,
mechanisms,
functions.
Furthermore,
it
compares
electrical
characteristics
various
types
discusses
effective
methods
enhancing
performance.
Additionally,
this
comprehensive
summary
systems,
encompassing
tactile,
visual,
auditory
systems.
Moreover,
elucidates
recently
systems
combine
perception,
computing,
actuation
into
configurations,
aspiring
realize
closed‐loop
control.
seamless
holds
significant
potential
shaping
more
intelligent
future
humanity.
Язык: Английский
Dynamic NiOx-based memristors for edge computing
Chinese Journal of Physics,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 1, 2025
Язык: Английский
Recent progress in brain-like chips based on optoelectronic memory: Structures, mechanisms, and prospects
Applied Physics Reviews,
Год журнала:
2025,
Номер
12(2)
Опубликована: Июнь 1, 2025
Optoelectronic
brain-like
devices
have
been
widely
investigated
in
recent
years
and
are
considered
a
new
generation
of
hardware
platforms
for
neuromorphic
computing.
Inspired
by
the
biological
visual
perception
system,
integrate
sensing,
computing,
memory
single
functional
unit.
Compared
with
electronically
controlled
memristor,
introduction
optical
signals
can
further
improve
computational
efficiency
physically
sensing
unit
processing
This
efficient
intelligent
information
method
effectively
overcome
bottleneck
traditional
computing
under
von
Neumann
architecture.
However,
development
optoelectronic
is
still
preliminary
stage,
its
mechanism
complex
not
uniform.
Therefore,
it
necessary
to
deeply
understand
quantum
process
between
input
electrical
output
provide
better
reference
this
field.
article
aims
comprehensively
review
latest
progress
devices,
summarizing
device
performance
structures.
It
also
provides
comprehensive
summary
multiple
mechanisms
different
material
systems,
such
as
direct
photoelectric
conversion
or
triggering
subsequent
effects.
In
addition,
variety
potential
application
scenarios
introduced.
Finally,
we
present
some
possible
problems
help
researchers
whole
picture
devices.
Язык: Английский
High-temperature-resistant synaptic transistors for neuromorphic computing
Cell Reports Physical Science,
Год журнала:
2024,
Номер
5(7), С. 102079 - 102079
Опубликована: Июль 1, 2024
SummaryNeuromorphic
computing
systems
based
on
high-temperature-resistant
synaptic
devices
have
emerged
as
energy-efficient
and
intelligent
strategies
for
harsh-environment
applications,
such
fire
alarms,
nuclear
combustion
monitoring,
planetary
exploration.
The
can
be
constructed
by
two-terminal
memristors
or
three-terminal
field-effect
transistors.
Though
the
latter
exhibits
a
relatively
complex
structure,
they
are
advantageous
linear
conductance
switching,
multi-terminal
modulation,
emulation
of
versatile
functionalities.
Herein,
we
will
summarize
recent
progress
transistors
(HTRSTs).
Firstly,
an
in-depth
discussion
is
conducted
regarding
their
working
mechanisms,
device
structures,
temperature-dependent
characteristics.
Then,
overview
active
materials
commonly
employed
in
HTRSTs
provided.
Several
application
scenarios
neuromorphic
presented.
Finally,
few
perspectives
directions
future
development
outlined.Graphical
abstract
Язык: Английский