Advanced Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 20, 2024
Abstract
The
electrochemical
metallization
(ECM)
mechanism
is
emerging
as
a
promising
approach
for
the
development
of
optical
memristors—nonvolatile
memory
systems
proposed
use
artificial
synapses
in
neuromorphic
computing
applications.
ECM
memristors
offer
exceptional
operating
dynamics
and
power
efficiency
compared
to
other
systems,
but
challenges
with
reproducible
cycle‐to‐cycle
state
switching
absence
advanced
functionalities
hinder
their
integration
into
photonic
systems.
In
this
work,
an
free‐standing
memristor
structure
proposed,
which
simultaneously
offers
wavelength‐dependent
multilevel
nonvolatile
storage,
volatile
light
modulation,
dynamic
polarization
control.
It
demonstrated
that
presence
resonance,
readout
provides
noise‐free,
robust,
significantly
more
accurate
information
about
memristor's
than
electrical
measurement.
allows
gain
insight
intermediate
levels
device
it
transitions
between
high
low
resistance
states
recover
complete
record
applied
voltages
even
when
stochastic
filament
ruptures
occur.
Finally,
investigations
show
spectroscopic
ellipsometry
real‐time
on
cation
movement
corresponding
permittivity
changes
at
interfaces
layer
electrodes,
thus
becoming
complementary
characterization
method
alongside
state‐of‐the‐art
techniques.
Nanomaterials,
Год журнала:
2024,
Номер
14(6), С. 554 - 554
Опубликована: Март 21, 2024
High-entropy
alloys
(HEAs)
are
a
class
of
metal
consisting
four
or
more
molar
equal
near-equal
elements.
HEA
nanomaterials
have
garnered
significant
interest
due
to
their
wide
range
applications,
such
as
electrocatalysis,
welding,
and
brazing.
Their
unique
multi-principle
high-entropy
effect
allows
for
the
tailoring
alloy
composition
facilitate
specific
electrochemical
reactions.
This
study
focuses
on
synthesis
high-purity
nanoparticles
using
method
femtosecond
laser
ablation
in
liquid.
The
use
ultrashort
energy
pulses
lasers
enables
uniform
materials
at
significantly
lower
power
levels
compared
longer
pulse
continuous
lasers.
We
investigate
how
various
parameters
affect
morphology,
phase,
other
characteristics
synthesized
nanoparticles.
An
innovative
aspect
our
solution
is
its
ability
rapidly
generate
multi-component
with
high
fidelity
input
target
material
yielding
rate.
Our
research
thus
novel
alloying
CuCoMn1.75NiFe0.25
explore
characterization
properties
consider
electrocatalytic
including
density
aluminum
air
batteries,
well
efficacy
oxygen
reduction
reaction
(ORR).
Additionally,
we
report
nanowire
fabrication
phenomenon
achieved
through
nanojoining.
findings
from
this
shed
light
potential
liquid
(FLASiL)
promising
technique
producing
Understanding
the
resistive
switching
(RS)
behavior
of
oxide-based
memory
devices
at
nanoscale
is
crucial
for
advancement
high-integration
density
in-memory
computing
platforms.
This
study
explores
a
comprehensive
growth
parameter
space
to
address
RS
pulsed-laser-deposited
substoichiometric
TiO2
(TiOx)
thin
films
in
search
tailored
memristors
with
low-power
consumption
and
high
stability.
Conductive-atomic-force-microscopy-based
measurements
facilitate
deciphering
nanoscale,
providing
direct
avenue
understand
microstructure-property
relationships.
The
present
investigation
reveals
that
rutile
TiOx
an
optimal
stoichiometric
configuration
exhibits
superior
attributes,
enabling
forming-free,
low-power,
highly
stable
functionalities
nanoscale.
By
contrast,
expected
formation
Magnéli
phase
within
defective
as-grown
film
hinders
occurrence
switching.
Detailed
analyses
yield
parametric
diagram,
valuable
insights
predict
parameters
fabricating
on-demand
TiOx-based
devices.
As
bulk
attributes
do
not
always
translate
seamlessly
leads
pathway
develop
electronics
promoting
their
integration
into
ultrahigh-density,
low-energy-consuming
advanced
technologies
across
diverse
disciplines
including
robotics,
data
storage,
sensing.
Materials Advances,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
Typical
non-linear
current–voltage
curves
with
a
closed
hysteresis
loop
(memristive-like
behavior)
were
observed
in
aPS/PANI/Au
hybrid
nanocomposite
devices.
International Materials Reviews,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 3, 2025
Memristors,
or
memristive
devices,
have
gained
substantial
attention
as
valuable
building
blocks
for
neuromorphic
computing
systems.
Their
dynamic
reconfiguration
enables
simulation
of
essential
analog
synaptic
and
neuronal
functionalities,
making
them
promising
candidates
brain-inspired
neural
network
computing.
In
recent
years,
conventional
thin
film
materials
low-dimensional
nanomaterials
been
extensively
explored
in
devices
the
development
applications.
Despite
progress
several
technical
challenges
persist,
such
device-to-device
uniformity
high
device
density
integration,
requiring
further
improvement
at
single
system
level
integration.
Interface
engineering,
through
careful
design
physical
chemical
nature
interface
two-terminal
structure,
emerges
a
method
to
address
these
challenges.
This
review
highlights
utilization
engineering
techniques
optimize
behavior,
covering
both
including
0D
quantum
dots
nanoparticles,
1D
nanowire/nanotube,
2D
materials,
heterostructures
nanoscale
materials.
Two
main
classes
mechanisms
involved
specifically,
electronic
ionic
modulating
are
described
detail.
Recent
advancements
optical
artificial
functionalities
integration
also
reviewed.
concludes
with
remaining
how
would
be
addressing
issues.
comprehensive
serves
guide
atomic-scale
research,
while
emphasizing
broader
potential
kinetics
enabling
various
exciting
physiochemical
properties
reconfigurable
functionalities.
Advanced Energy and Sustainability Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 27, 2025
In
this
work,
the
recent
progress
in
silver
nanowire
(AgNW)‐based
transparent
conductive
electrodes
(TCEs)
is
summarized.
First,
AgNWs
are
compared
with
other
mainstream
materials,
highlighting
their
superior
conductivity,
flexibility,
and
transparency,
which
make
them
prime
candidates
for
application
of
next‐generation
flexible
electronic
devices.
The
key
synthesis
strategies—including
template‐based,
hydrothermal/solvothermal,
polyol
methods—are
then
discussed
how
fabrication
processes
such
as
printing,
spin
coating,
dip
spray
vacuum
filtration
govern
electrical,
optical,
mechanical
properties
AgNW
networks
examined.
Special
attention
given
to
composites
carbon,
polymers,
metal
oxides,
underscoring
these
hybrid
approaches
boost
durability,
environmental
stability.
To
illustrate
AgNWs’
versatility,
applications
sensors,
solar
cells,
skin,
electromagnetic
shielding,
heating
devices,
nanogenerators,
various
electrode
systems
presented.
Notably,
capacity
maintain
functionality
under
deformation
points
broad
potential
wearable
Despite
advances,
challenges
remain.
conclusion
drawn
by
examining
future
prospects
emerging
fields
smart
textiles,
advanced
energy
harvesting,
electronics,
emphasizing
ongoing
innovations
composite
engineering
could
further
unlock
impact
on
technologies.
ACS Applied Materials & Interfaces,
Год журнала:
2024,
Номер
16(44), С. 60394 - 60403
Опубликована: Окт. 25, 2024
Large
area
electronics
(LAE)
with
the
capability
to
sense
and
retain
information
are
crucial
for
advances
in
applications
such
as
wearables,
digital
healthcare,
robotics.
The
big
data
generated
by
these
sensor-laden
systems
need
be
scaled
down
or
processed
locally.
In
this
regard,
brain-inspired
computing
in-memory
have
attracted
considerable
interest.
However,
suitable
architectures
mainly
been
developed
using
costly
resource-intensive
conventional
lithography-based
methods.
There
is
a
development
of
innovative,
resource-efficient
fabrication
routes
that
enable
devices
concepts.
Herein,
we
present
ZnO
nanowire
(NW)-based
memristors
on
polyimide
substrate
fabricated
LAE-compatible
route
comprising
solution
processing
printing
technologies.
High-resolution
"drop-on-demand"
"direct
ink
write"
printers
employed
deposit
metallic
layers
(silver
gold)
seed
layer,
needed
site-selective
growth
NWs
via
low-cost
hydrothermal
method.
printed
show
high
bipolar
resistance
switching
(ON/OFF
ratio
>103)
between
two
nonvolatile
states
consistent
at
ultralow
voltages
(all
showed
amplitudes
<200
mV),
best
performing
device
showing
cycled
over
4
orders
magnitude
SET
RESET
about
71
−57
mV,
respectively.
Thus,
presented
offer
reliable
lowest
reported
voltage
prove
competitive
many
nanofabrication-based
devices.
results
potential
technology
holds
large-area,
low-voltage
sensing
electronic
skin.
Artificial
neural
systems
demonstrate
outstanding
performance
by
processing
sensory
data
and
realtime
contexts
in
parallel,
far
surpassing
conventional
von
Neumann
computers
terms
of
energy
efficiency.
This
property
has
sparked
widespread
interest
within
the
field
artificial
intelligence.
In
recent
years,
research
on
electric-double-layer
synaptic
transistors
attracted
much
attention
due
to
their
similarity
ionic
motion
modulation
that
biological
synapses,
thereby
demonstrating
a
wealth
potential
application
scenarios.
this
paper,
we
solid-state
electrolyte-gated
transistor
uses
TaO
x
with
unique
composition
as
insulating
layer
transparent
indium
tin
oxide
(ITO)
semiconductor
prepare
thin-film
(TFTs)
signal
transmission
self-learning
properties.
The
devices
exhibit
significant
memory
holding,
bank
voltage
exceeds
6V
at
operating
voltages
below
10V.
shift
oxygen
Void
Sites
transistor,
entrained
electrical
forces
created
from
input
signals,
plays
crucial
role
simulating
behavior.
addition,
device
successfully
simulates
enhancement
inhibition
weights,
such
excitatory
postsynaptic
current
(EPSC),
inhibitory
response
(IPSC),
paired
pulse
facilitation
(PPF),
long-term
potentiation
(LTP).