Chip,
Journal Year:
2024,
Volume and Issue:
3(2), P. 100086 - 100086
Published: Feb. 2, 2024
As
a
typical
representative
of
nanomaterials,
carbon
nanomaterials
have
attracted
widespread
attention
in
the
construction
electronic
devices
due
to
their
unique
physical
and
chemical
properties,
multi-dimensionality,
multi-hybridization
methods
excellent
properties.
Especially
recent
years,
memristors
based
on
flourished
field
building
non-volatile
memory
neuromorphic
applications.
In
this
paper,
preparation
structural
characteristics
different
dimensions
are
systematically
reviewed.
Then,
working
mechanism
discussed
depth.
Finally,
potential
applications
carbon-based
logic
operations,
neural
network
construction,
artificial
vision
systems,
tactile
multimodal
perception
systems
introduced.
We
believe
paper
will
provide
guidance
for
future
development
high-quality
information
storage,
high-performance
applications,
high-sensitivity
bionic
sensing
memristors.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(14), P. 10891 - 10891
Published: July 11, 2023
Nanomaterials
have
gained
significant
attention
as
a
remarkable
class
of
materials
due
to
their
unique
properties
and
the
fact
that
they
encompass
wide
range
samples
with
at
least
one
dimension
ranging
from
1
100
nm.
The
deliberate
design
nanoparticles
enables
achievement
extremely
large
surface
areas.
In
field
cost-effective
electrochemical
devices
for
energy
storage
conversion
applications,
nanomaterials
emerged
key
area
research.
Their
exceptional
physical
chemical
led
extensive
investigations
aimed
improving
performance
cost-effectiveness
devices,
including
batteries,
supercapacitors,
fuel
cells.
continuous
development
enhancement
these
high-performance
are
driven
by
demand
enhanced
productivity,
connectivity,
sustainability
reduced
cost.
This
review
focuses
on
electrodes,
storage,
sensors
(ES)
based
nanotechnology.
It
discusses
application
nanotechnology
in
electrochemistry
water
purification
fate
substances
water,
while
also
introducing
green
cost-effective,
high-fidelity
product
creation
through
methods.
study
emphasizes
synthesis
novel
nanomaterials,
such
metal–organic
frameworks
(MOFs),
covalent
organic
(COFs),
MXenes,
applications
devices.
Furthermore,
it
explores
integration
nanostructures
systems
economically
future
along
challenges
faced
nanotechnology-based
industries.
paper
interplay
between
biosensors,
which
play
vital
role
Overall,
this
provides
comprehensive
overview
significance
conversion.
highlights
need
further
research
rapidly
evolving
serves
valuable
resource
researchers
engineers
interested
latest
advancements
Chemical Society Reviews,
Journal Year:
2023,
Volume and Issue:
52(20), P. 7071 - 7136
Published: Jan. 1, 2023
This
review
highlights
the
film
preparation
methods
and
application
advances
in
memory
neuromorphic
electronics
of
porous
crystalline
materials,
involving
MOFs,
COFs,
HOFs,
zeolites.
Advanced Science,
Journal Year:
2023,
Volume and Issue:
10(16)
Published: April 18, 2023
In
the
era
of
big
data
and
artificial
intelligence
(AI),
advanced
storage
processing
technologies
are
in
urgent
demand.
The
innovative
neuromorphic
algorithm
hardware
based
on
memristor
devices
hold
a
promise
to
break
von
Neumann
bottleneck.
recent
years,
carbon
nanodots
(CDs)
have
emerged
as
new
class
nano-carbon
materials,
which
attracted
widespread
attention
applications
chemical
sensors,
bioimaging,
memristors.
focus
this
review
is
summarize
main
advances
CDs-based
memristors,
their
state-of-the-art
synapses,
computing,
human
sensory
perception
systems.
first
step
systematically
introduce
synthetic
methods
CDs
derivatives,
providing
instructive
guidance
prepare
high-quality
with
desired
properties.
Then,
structure-property
relationship
resistive
switching
mechanism
memristors
discussed
depth.
current
challenges
prospects
memristor-based
synapses
computing
also
presented.
Moreover,
outlines
some
promising
application
scenarios
including
sensors
vision,
low-energy
quantum
computation,
human-machine
collaboration.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(16)
Published: Jan. 4, 2024
Abstract
Memristors
have
recently
become
powerful
competitors
toward
artificial
synapses
and
neuromorphic
computation,
arising
from
their
structural
electrical
similarity
to
biological
neurons.
From
the
diversity
of
materials,
numerous
organic
inorganic
materials
proven
exhibit
great
potential
in
application
memristors.
Herein,
this
work
focuses
on
a
class
memristors
based
frameworks
(OFs)
pay
attention
most
advanced
experimental
demonstrations.
First,
typical
device
structures
memristive
switching
mechanisms
are
introduced.
Second,
latest
progress
OFs‐based
is
comprehensively
summarized,
including
metal‐organic
(MOFs),
covalent
(COFs),
hydrogen‐bonded
(HOFs),
as
well
applications
data
storage,
synapses,
devices.
Finally,
future
challenges
prospects
deeply
discussed.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(33)
Published: June 15, 2024
Biomimetic
humidity
sensors
offer
a
low-power
approach
for
respiratory
monitoring
in
early
lung-disease
diagnosis.
However,
balancing
miniaturization
and
energy
efficiency
remains
challenging.
This
study
addresses
this
issue
by
introducing
bioinspired
humidity-sensing
neuron
comprising
self-assembled
peptide
nanowire
(NW)
memristor
with
unique
proton-coupled
ion
transport.
The
proposed
shows
low
Ag
Chemical Reviews,
Journal Year:
2024,
Volume and Issue:
124(22), P. 12738 - 12843
Published: Nov. 5, 2024
The
quest
to
imbue
machines
with
intelligence
akin
that
of
humans,
through
the
development
adaptable
neuromorphic
devices
and
creation
artificial
neural
systems,
has
long
stood
as
a
pivotal
goal
in
both
scientific
inquiry
industrial
advancement.
Recent
advancements
flexible
electronics
primarily
rely
on
nanomaterials
polymers
owing
their
inherent
uniformity,
superior
mechanical
electrical
capabilities,
versatile
functionalities.
However,
this
field
is
still
its
nascent
stage,
necessitating
continuous
efforts
materials
innovation
device/system
design.
Therefore,
it
imperative
conduct
an
extensive
comprehensive
analysis
summarize
current
progress.
This
review
highlights
applications
neuromorphics,
involving
inorganic
(zero-/one-/two-dimensional,
heterostructure),
carbon-based
such
carbon
nanotubes
(CNTs)
graphene,
polymers.
Additionally,
comparison
summary
structural
compositions,
design
strategies,
key
performance,
significant
these
are
provided.
Furthermore,
challenges
future
directions
pertaining
materials/devices/systems
associated
neuromorphics
also
addressed.
aim
shed
light
rapidly
growing
attract
experts
from
diverse
disciplines
(e.g.,
electronics,
science,
neurobiology),
foster
further
for
accelerated
development.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 6, 2024
Abstract
In
the
context
of
human
active
response
to
exponentially
increasing
data
volumes,
memristors
have
emerged
as
a
focal
point
in
systematic
problem‐solving
approaches.
Particularly,
organic
memristors,
characterized
by
excellent
scalability,
flexibility,
and
3D
stacking
capabilities,
shown
its
tremendous
potential
innovative
electronic
applications.
However,
modulation
molecular
assembly
interface
interaction
at
electrode
surface
poses
challenging
task,
despite
their
crucial
role
determining
memristive
performance.
Herein,
collaborative
method
involving
hydrophobic
design
engineering
is
proposed
generate
high‐quality
nanofilms
with
optimal
photoelectric
electrochemical
properties.
By
subjecting
bottom
O
2
plasma
treatment
chemical
modification
using
ionic
liquid
poly(diallyldimethylammonium)
bis(trifluoromethanesulfonyl)imide
(PTFSI),
compound
DN
demonstrates
exceptional
affinity
stronger
intermolecular
interactions
surface.
Consequently,
two‐terminal
device
array
comprising
Al/DN@PTFSI/ITO
exhibits
robust
non‐volatile
write‐once‐read‐many
times
(WORM)
memory
behavior,
resulting
tripling
production
yield
from
30%
92%
along
lower
threshold
voltage
1.5
V,
higher
ON/OFF
current
ratio
10
3
stability.
This
study
presents
versatile
approach
optimize
film
material/electrode
interface,
thereby
accelerating
development
toward
future
Applied Physics Letters,
Journal Year:
2024,
Volume and Issue:
124(7)
Published: Feb. 12, 2024
An
optoelectronic
memristor
can
respond
to
both
electrical
and
optical
stimuli,
which
has
tremendous
potential
realize
light-involved
operations.
Here,
N-doped
carbon
dots
(NCDs)-based
devices
with
reliable
resistive
switching
(RS)
characteristics
are
demonstrated.
The
possess
reproducible
bipolar
RS
behavior,
good
endurance,
long
retention
time,
fast
speed
(<28
ns).
Based
on
the
light-controlled
charge
trapping,
SET
voltage
be
modulated
from
1.5
0.2
V
by
varying
ultraviolet
(UV)
light
intensity.
Furthermore,
process
completely
triggered
external
when
intensity
is
more
than
10
mW/cm2.
mechanism
of
trapping
NCDs
verified
via
Kelvin
probe
force
microscopy
measurements.
stateful
reconfigurable
logic
NAND
AND
operations
achieved
through
control
UV
light.
results
show
feasibility
based
memristors
for
in-memory
computing
applications.
