ACS Applied Electronic Materials,
Год журнала:
2024,
Номер
7(1), С. 380 - 387
Опубликована: Дек. 16, 2024
Ferroelectric
memristors
have
significant
potential
as
the
key
component
in
neuromorphic
computing
technology
that
is
critical
post-Moore
era.
AlScN
has
emerged
a
promising
ferroelectric
material
with
wurtzite
structure
due
to
its
large
residual
polarization,
CMOS
compatibility,
great
ability
be
miniaturized,
and
high
Curie
temperature.
Here,
Cu/Al0.73Sc0.27N/Pt
coexistence
of
resistive
switching
(RS)
threshold
behaviors
was
fabricated,
showing
Roff/Ron
ratio
(105%),
speed
(<150
ns),
long
retention
characteristic
(>1500
s).
By
appropriately
adjusting
compliance
current
(CC),
device
exhibits
gradual
multiple
conductance
states.
In
addition,
biological
synaptic
functions
including
paired-pulse
facilitation
(PPF)
short-term
plasticity
(STP)
long-term
(LTP)
transition
were
emulated
successfully
after
verifying
under
pulse
stimuli.
These
findings
may
applicable
designing
next-generation
for
efficient
systems.
Applied Physics Letters,
Год журнала:
2024,
Номер
124(3)
Опубликована: Янв. 15, 2024
Neuromorphic
computing
provides
alternative
hardware
architectures
with
high
computational
efficiencies
and
low
energy
consumption
by
simulating
the
working
principles
of
brain
artificial
neurons
synapses
as
building
blocks.
This
process
helps
overcome
insurmountable
speed
barrier
power
from
conventional
von
Neumann
computer
architectures.
Among
emerging
neuromorphic
electronic
devices,
ferroelectric-based
have
attracted
extensive
interest
for
their
good
controllability,
deterministic
resistance
switching,
large
output
signal
dynamic
range,
excellent
retention.
Perspective
briefly
reviews
recent
progress
two-
three-terminal
ferroelectric
represented
tunnel
junctions
field
effect
transistors,
respectively.
The
structure
operational
mechanism
devices
are
described,
existing
issues
inhibiting
high-performance
synaptic
corresponding
solutions
discussed,
including
linearity
symmetry
weight
updates,
consumption,
device
miniaturization.
Functions
required
advanced
systems,
such
multimodal
multi-timescale
plasticity,
also
summarized.
Finally,
remaining
challenges
in
possible
countermeasures
outlined.
Bioinspired
tactile
devices
can
effectively
mimic
and
reproduce
the
functions
of
human
system,
presenting
significant
potential
in
field
next-generation
wearable
electronics.
In
particular,
memristor-based
bionic
have
attracted
considerable
attention
due
to
their
exceptional
characteristics
high
flexibility,
low
power
consumption,
adaptability.
These
provide
advanced
wearability
high-precision
sensing
capabilities,
thus
emerging
as
an
important
research
area
within
bioinspired
This
paper
delves
into
integration
memristors
with
other
controlling
systems
offers
a
comprehensive
analysis
recent
advancements
devices.
incorporate
artificial
nociceptors
flexible
electronic
skin
(e-skin)
category
bio-inspired
sensors
equipped
capabilities
for
sensing,
processing,
responding
stimuli,
which
are
expected
catalyze
revolutionary
changes
human-computer
interaction.
Finally,
this
review
discusses
challenges
faced
by
terms
material
selection,
structural
design,
sensor
signal
processing
development
intelligence.
Additionally,
it
also
outlines
future
directions
application
prospects
these
devices,
while
proposing
feasible
solutions
address
identified
challenges.
ACS Applied Materials & Interfaces,
Год журнала:
2024,
Номер
16(15), С. 19205 - 19213
Опубликована: Апрель 9, 2024
An
artificial
nociceptor,
as
a
critical
and
special
bionic
receptor,
plays
key
role
in
bioelectronic
device
that
detects
stimuli
provides
warnings.
However,
fully
exploiting
applications
remains
major
challenge
due
to
the
lack
of
methods
implementing
basic
nociceptor
functions
nociceptive
blockade
single
device.
In
this
work,
we
developed
Pt/LiSiO
Journal of Materiomics,
Год журнала:
2024,
Номер
10(6), С. 1308 - 1316
Опубликована: Апрель 21, 2024
Recently,
memristors
have
garnered
widespread
attention
as
neuromorphic
devices
that
can
simulate
synaptic
behavior,
holding
promise
for
future
commercial
applications
in
computing.
In
this
paper,
we
present
a
memristor
with
an
Au/Bi3.2La0.8Ti3O12
(BLTO)/ITO
structure,
demonstrating
switching
ratio
of
nearly
103
over
duration
104
seconds.
It
successfully
simulates
range
behaviors,
including
long-term
potentiation
and
depression,
paired-pulse
facilitation,
spike-timing-dependent
plasticity,
spike-rate-dependent
plasticity
etc.
Interestingly,
also
employ
it
to
pain
threshold,
sensitization,
desensitization
behaviors
pain-perceptual
nociceptor
(PPN).
Lastly,
by
introducing
differential
pairs
(1T1R-1T1R),
train
neural
network,
effectively
simplifying
the
learning
process,
reducing
training
time,
achieving
handwriting
digit
recognition
accuracy
up
97.19%.
Overall,
proposed
device
holds
immense
potential
field
computing,
offering
possibilities
next
generation
high-performance
computing
chips.
ACS Applied Materials & Interfaces,
Год журнала:
2024,
Номер
16(26), С. 33907 - 33916
Опубликована: Июнь 18, 2024
Nociceptor
is
an
important
receptor
in
the
organism's
sensory
system;
it
can
perceive
harmful
stimuli
and
send
signals
to
brain
order
protect
body
time.
The
injury
degree
of
nociceptor
be
divided
into
three
stages:
self-healing
injury,
treatable
permanent
injury.
However,
current
studies
on
simulation
are
limited
stage
due
limitation
untunable
resistance
switching
behavior
memristors.
In
this
study,
we
constructed
Al/2DPTPAK+TAPB/Ag
memristor
arrays
with
adjustable
memory
behaviors
emulate
biological
neural
network
all
stages.
For
purpose,
a
PDMS/AgNWs/ITO/PET
pressure
sensor
was
assembled
mimic
tactile
perception
skin.
not
only
simulate
response
nociceptor,
i.e.,
threshold,
relaxation,
no
adaptation,
sensitization
but
also
These
both
demonstrated
single
form
pattern
mapping
array.
Advanced Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 12, 2024
Pulmonary
hypertension
(PH)
significantly
affects
the
quality
of
life
and
lifespan
humans
has
promoted
development
flexible
implantable
electronic
devices
for
PH
diagnosis
prevention.
Traditional
based
on
von
Neumann
architecture
face
insurmountable
challenges
in
processing
large
amounts
biological
data
due
to
computational
bottlenecks.
Memristors,
with
integrated
in-memory
sensing
computing
capabilities,
can
effectively
eliminate
bottlenecks
become
one
most
promising
products
health
monitoring.
Here,
a
memristor
Ag/MnO
