Temperature‐Resilient Polymeric Memristors for Effective Deblurring in Static and Dynamic Imaging
Advanced Functional Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 24, 2025
Abstract
Organic
memristors
have
emerged
as
promising
candidates
for
neuromorphic
computing
due
to
their
potential
low‐cost
fabrication,
large‐scale
integration,
and
biomimetic
functionality.
However,
practical
applications
are
often
hindered
by
limited
thermal
stability
device‐to‐device
variability.
Here,
an
organic
polymer‐based
memristor
using
a
thiadiazolobenzotriazole
(TBZ)
2,5‐Dioctyl‐3,6‐di(thiophen‐2‐yl)pyrrolo[3,4‐c]pyrrole‐1,4(2H,5H)‐dione
(DPP)‐based
conjugated
polymer
is
presented
that
exhibits
exceptional
reliable
resistance
switching
behavior
over
wide
temperature
range
(153–573
K).
The
device
leverages
charge‐transfer
mechanism
achieve
gradual
uniform
switching,
overcoming
the
challenges
associated
with
filamentary‐based
mechanisms.
memristor's
consistent
performance
enable
its
integration
into
various
applications,
including
image
processing.
device's
ability
demonstrated
effectively
deblur
images,
even
under
varying
conditions,
showcasing
robust
computing.
This
study
establishes
pathway
toward
high‐performance,
thermally
stable
advanced
artificial
intelligence
applications.
Язык: Английский
MXene Quantum Dots Covalently Modified with Poly[1,4‐diethynylbenzene‐alt‐spiropyran] for Analog‐Type Optoelectronic Dual‐Response Memristor
Advanced Materials Technologies,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 19, 2025
Abstract
Quantum
dots
stand
as
an
outstanding
choice
for
high‐tech
applications
due
to
their
fascinating
edge
and
quantum
confinement
effects
unique
optoelectronic
properties.
By
using
4‐bromobenzenediazonium‐modified
MXene
a
key
zero‐dimensional
template,
highly
soluble
poly[1,4‐diethynylbenzene‐
alt
‐spiropyran]
(PBSP)‐covalently
functionalized
(PBSP‐MQDs),
in
which
two
structural
isomers
of
spiropyran
(i.e.,
ring‐opened
merocyanine
ring‐closed
spiropyran)
can
interconvert
into
each
other
rapidly
under
different
light
illumination,
are
synthesized
situ.
The
weight
percentage
MQDs
PBSP‐MQDs
is
10.4%.
For
comparison
purpose,
PBSP‐covalently
grafted
nanosheets
(PBSP‐MXene)
PBSP
also
the
same
conditions.
Upon
UV
or
blue
these
reference
materials
do
not
show
any
memristive
effect
at
sweep
range
±0.5
V.
On
contrary,
as‐fabricated
ITO/PBSP‐MQDs/ITO
device
shows
history‐dependent
switching
performance,
with
32
distinguishable
conductance
states,
experimental
difference
current
between
adjacent
conductive
states
parameters,
simple
convolutional
neural
network
facial
recognition
successfully
constructed.
After
200
epochs
training,
accuracy
reaches
up
97.23%.
Язык: Английский
Singlet Tetra‐Radical Nickel(II) Complex Based Versatile Molecular Memristor with Adaptive Learning Capability
Subhankar Khanra,
Muhammed Sahad E,
Siuli Das
и другие.
Advanced Functional Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 24, 2025
Abstract
Molecular
memristors
have
emerged
as
pivotal
components
in
next‐generation
electronics,
combining
redox‐active
functionality
at
the
nanoscale
with
cognitive
behaviors.
Synthesis,
characterization,
and
redox‐induced
interconversion
of
a
new
binuclear
open‐shell
singlet
(S
=
0)
tetra‐radical
nickel(II)‐complex,
[Ni
II
2
(L
•–•–
)
]
(
1
featuring
two
two‐electron
reduced
dianionic
diradical
scaffolds
2,9‐bis(phenyldiazenyl)‐1,10‐phenanthroline
L
robust
resistive
switching
element
is
reported.
The
complex
upon
one‐electron
ligand‐centered
oxidation
forms
mono‐cationic
tri‐radical
species
)(L
•–
)]
+
([
),
which
further
transforms
to
di‐cationic
monometallic
0
[
2+
.
Controlled
reduction
presence
excess
Ni(II)‐sources
such
NiCl
or
Ni(ClO
4
mono‐metallic
Complex
demonstrates
exceptional
performance
molecular
memristor,
including
high
endurance
over
750
cycles,
2‐h
data
retention,
ultrafast
speeds
55
ns.
consistent
On/Off
conductivity
difference
under
varying
environmental
conditions
makes
it
promising
for
storage
data‐processing
applications.
Moreover,
supports
advanced
functionalities
logic
gate
operations,
4‐bit
edge
computing,
adaptive
learning
behavior,
positioning
versatile
building
block
all‐in‐one
electronic
technologies.
Язык: Английский
Reconfigurable Neuromorphic Computing Using Methyl-Engineered One-Dimensional Covalent Organic Framework Memristors
Nano Letters,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 25, 2025
The
rapid
evolution
of
neuromorphic
devices
seeks
to
bridge
biological
neural
networks
and
artificial
systems,
enabling
energy-efficient
scalable
computing
for
next-generation
intelligence.
Herein,
we
introduce
methyl-engineered
one-dimensional
covalent
organic
framework
(1D
COF)-based
memristors
as
a
transformative
platform
reconfigurable
computing.
incorporation
methyl
groups
enhances
localized
polarization
effects
within
the
COF
framework,
effectively
mitigating
random
Ag+
migration/diffusion
stabilizing
conductive
filament
morphology.
This
strategic
modification
yields
with
exceptional
multilevel
storage
capabilities,
exhibiting
superior
stability,
linearity,
reproducibility.
Moreover,
highly
ordered
architecture
customizable
chemical
environment
methyl-functionalized
1D
allows
precise
control
over
resistive
switching
behaviors,
facilitating
emulation
synaptic
functions
development
network
architectures.
Demonstrating
performance
in
tasks
such
high-accuracy
image
recognition,
these
showcase
significant
promise
foundation
energy-efficient,
systems.
Язык: Английский