Journal of Physics Materials,
Год журнала:
2024,
Номер
8(1), С. 012002 - 012002
Опубликована: Дек. 9, 2024
Abstract
Nanocomposite
thin
films,
comprising
two
or
more
distinct
materials
at
nanoscale,
have
attracted
significant
research
interest
considering
their
potential
of
integrating
multiple
functionalities
for
advanced
applications
in
electronics,
energy
storage,
photonics,
photovoltaics,
and
sensing.
Among
various
fabrication
technologies,
a
one-step
pulsed
laser
deposition
process
enables
the
self-assembly
into
vertically
aligned
nanocomposites
(VANs).
The
demonstrated
VAN
systems
include
oxide–oxide,
oxide–metal,
nitride–metal
films
growth
mechanisms
are
vastly
different.
These
complexities
pose
challenges
designs,
selection,
prediction
resulted
morphologies
properties.
review
examines
key
roles
that
surface
plays
provides
generalized
design
guideline
combining
factors
lattice
strain/mismatch,
along
with
other
related
to
kinetics
collectively
influence
morphology
films.
This
aims
offer
valuable
guidelines
future
material
selection
microstructure
development
self-assembled
Applied Physics Letters,
Год журнала:
2025,
Номер
126(1)
Опубликована: Янв. 2, 2025
In
this
work,
brain-like
experiential
learning/forgetting
ability
is
demonstrated
with
the
help
of
various
synaptic
adaptation
rules,
namely,
short-term
potentiation/short-term
depression,
long-term
potentiation/long-term
spike
rate-dependent
plasticity,
and
spike-time-dependent
plasticity
in
a
thin-film
device.
The
model
device
used
here
unidirectional
thin
film
nanocrystalline
Co3O4,
grown
on
p-Si
(100)
substrate
using
pulsed
laser
deposition
technique
to
fabricate
metal–insulator–semiconductor
type
memristor.
Along
this,
we
found
an
analog
bipolar-type
switching
behavior
excellent
resistive
properties
terms
endurance,
retention,
ON–OFF
ratio
suitable
for
CMOS-based
memory
applications.
conduction
mechanisms
are
elucidated
speculative
band
diagram
formulated
from
UV-visible
spectroscopy
data.
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 207 - 232
Опубликована: Окт. 4, 2024
The
development
of
intelligent
neuroprosthetics,
which
promise
to
augment
human
brain
function
is
vital
for
augmentative
assistive
technologies.
Neuromorphic
sensors
and
processors
are
particularly
adept
at
mimicking
the
brain's
efficient
sensory
processing,
offering
devices
an
advanced
capability
perceive
interpret
complex
environmental
stimuli.
application
these
technologies
in
computer
interfaces
suggests
a
future
where
transformative
advancements
not
only
possible
but
imminent,
facilitating
novel
methods
human-computer
interaction
providing
insights
into
intricate
workings
through
AI
machine
learning
techniques.
This
paper
explores
integration
neuromorphic
with
brain-computer
(BCIs),
highlighting
potential
enhance
revolutionize
communication
healthcare.
However,
realization
computing's
full
within
BCIs
contingent
upon
overcoming
significant
technological
ethical
challenges.
Journal of Materials Chemistry C,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
This
study
developed
tri-layer
HfO
x
/HfO
2
memristors
with
an
ion-gating
interlayer,
enabling
precise
control
over
conductive
filaments
and
achieving
high
consistency
linearity.
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 Functional Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 10, 2025
Abstract
Vertically
aligned
nanocomposite
(VAN)
thin
films
offer
exceptional
physical
properties
through
diverse
material
combinations,
providing
a
robust
platform
for
designing
complex
nanocomposites
with
tailored
performance.
Considering
materials
compatibility
issues,
most
of
oxide‐metal
VANs
have
focused
on
noble
metals
as
the
secondary
phase
in
oxide
matrix.
Here,
an
hybrid
metamaterials
VAN
form
has
been
designed
which
combines
ferroelectric
BaTiO
3
(BTO)
two
immiscible
non‐noble
metal
elements
Co
and
Cu,
resulting
three‐phase
BTO‐Co‐Cu
(BTO‐CC)
film.
This
film
exhibits
characteristic
nanopillar‐in‐matrix
nanostructure
three
distinct
types
nanopillar
morphologies,
i.e.,
Co‐rich
cylindrical
nanopillars,
Cu‐Co‐nanolaminated
rectangular
nanopillars
Co‐Cu‐core–shell
nanopillars.
Phase
field
modeling
indicates
constructed
structure
is
resulted
from
interplay
between
thermochemical,
chemomechanical,
interfacial
energy
driving
forces.
The
strong
structural
anisotropy
leads
to
anisotropic
optical
magnetic
properties,
presenting
potential
hyperbolic
metamaterial
(HMM)
transverse‐positive
dispersion
near‐infrared
region.
inclusion
Cu
induces
surface
plasmon
resonance
(SPR)
visible
Additionally,
demonstrated
BTO/BTO‐CC
bilayer,
confirming
room‐temperature
multiferroicity
novel
exploring
electro‐magneto‐optical
coupling
along
vertical
interfaces
toward
future
integrated
devices.
Journal of Applied Physics,
Год журнала:
2025,
Номер
137(13)
Опубликована: Апрель 1, 2025
Memristors
are
considered
as
key
components
of
brain-like
hardware
to
meet
the
demand
for
energy-efficient
computing
in
era
big
data.
The
realization
synaptic
and
neuronal
functions
based
on
memristors
is
a
prerequisite
building
artificial
neural
networks.
In
this
study,
we
fabricated
devices
Zr-doped
BaTiO3
(BT-xZr)
(BTO)
thin
films
grown
by
pulsed
laser
deposition
method.
Compared
with
BT-0.04Zr
film,
BT-0.15Zr
film
effectively
inhibits
oxygen
vacancy
generation,
which
greatly
optimizes
problem
large
leakage
current
device.
By
applying
pulse
sequences
devices,
show
better
properties
than
from
several
aspects,
such
pair-pulse
facilitation,
spike
time-dependent
plasticity,
long-term
potentiation/depression.
We
further
simulated
image
recognition
performance
networks
two
types
devices.
When
cycle-to-cycle
variation
was
not
considered,
accuracy
92%
86%,
respectively.
With
included,
becomes
90.5%
31%,
Our
work
reveals
great
impact
Zr-doping
BTO-based
neuromorphic
computing.
ACS Applied Materials & Interfaces,
Год журнала:
2024,
Номер
16(47), С. 64951 - 64962
Опубликована: Ноя. 15, 2024
The
CeO2-based
memristor
has
attracted
significant
attention
due
to
its
intrinsic
resistive
switching
(RS)
properties,
large
on/off
ratio,
and
great
plasticity,
making
it
a
promising
candidate
for
artificial
synapses.
However,
challenges
such
as
high
power
consumption
poor
device
reliability
hinder
broad
application
in
neuromorphic
microchips.
To
tackle
these
issues,
this
work,
we
design
novel
bilayer
(BL)
by
integrating
with
Co-CeO2
vertically
aligned
nanocomposite
(VAN)
layer
compare
the
single
(SL)
memristor.
Preliminary
electrical
testing
reveals
that
BL
offers
reduced
set/reset
voltage
(∼67%
lower),
higher
ratio
(∼5
×
102),
enhanced
reliability,
improved
device-to-device
variation
compared
SL
Insight
from
COMSOL
simulation,
coupled
microstructural
analysis,
provides
comprehensive
elucidation
on
how
VAN
facilitates
selective
conductive
filament
(CF)
formation.
Subsequently,
plasticity
of
is
evaluated
through
long-term
potentiation/depression
(LTP/LTD),
paired-pulse
facilitation
(PPF),
spike-time-dependent
(STDP).
spiking
neural
network
(SNN)
built
upon
achieves
remarkable
accuracy
(∼94%)
after
only
12
iterations,
underscoring
potential
high-performance
networks.
