Journal of Materials Chemistry C,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
An
artificial
visual
system
is
developed
based
on
ZnO
TS
neurons,
featuring
excellent
device
performance
and
stable
neuron
circuit
operation.
The
utilizes
rate-time
fusion
coding
strategies
to
enable
efficient
accurate
recognition.
Chemical Reviews,
Год журнала:
2024,
Номер
124(22), С. 12738 - 12843
Опубликована: Ноя. 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 Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 3, 2024
In
the
era
of
artificial
intelligence
(AI),
there
is
a
growing
interest
in
replicating
human
sensory
perception.
Selective
and
sensitive
bio-inspired
receptors
with
synaptic
plasticity
have
recently
gained
significant
attention
developing
energy-efficient
AI
Various
their
applications
perception
are
reviewed
here.
The
critical
challenges
for
future
development
outlined,
emphasizing
need
innovative
solutions
to
overcome
hurdles
sensor
design,
integration,
scalability.
can
revolutionize
various
fields,
including
human-machine
interaction,
autonomous
systems,
medical
diagnostics,
environmental
monitoring,
industrial
optimization,
assistive
technologies.
As
advancements
sensing
continue
accelerate,
promise
creating
more
intelligent
adaptive
systems
becomes
increasingly
attainable,
marking
step
forward
evolution
human-like
Advanced Materials,
Год журнала:
2024,
Номер
36(33)
Опубликована: Июнь 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
Advanced Functional Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 19, 2025
Abstract
With
the
rapid
advancement
of
2D
material‐based
optoelectronic
devices,
significant
progress
is
made
in
development
all‐optical
logic
synaptic
biomimetic
and
multidimensional
detection
systems.
As
entering
to
high‐speed
information
era,
there
an
urgent
demand
for
complex,
compact,
multifunctional,
low‐energy,
intelligent
sensing
chips.
Examining
evolution
current
technologies
reveals
a
parallel
bipolar
response
mechanisms‐from
simple
positive
negative
responses
more
intricate
inhibition‐promotion
dynamics
with
persistent
characteristics.
This
significantly
broadens
their
applications
devices.
Moreover,
compared
unipolar
responses,
complex
offer
greater
flexibility
adaptation
unique
one‐to‐one
mapping
high‐dimensional
parameters
such
as
polarization,
phase,
spectrum,
positioning
them
promising
candidates
breakthroughs
resolution.
In
this
review,
design
strategies
are
comprehensively
explored
various
materials,
highlighting
deep
advanced
fields.
It
aimed
review
provide
broad
overview
bi‐directional
mechanisms,
offering
inspiration
designing
next
generation
Advanced Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 10, 2024
Abstract
Physical
reservoir‐based
reservoir
computing
(RC)
systems
for
intelligent
perception
have
recently
gained
attention
because
they
require
fewer
resources.
However,
the
system
remains
limited
in
infrared
(IR)
machine
vision,
including
materials
and
physical
expression
power.
Inspired
by
biological
visual
systems,
study
proposes
a
near‐infrared
(NIR)
retinomorphic
device
that
simultaneously
perceives
encodes
narrow
IR
spectral
information
(at
≈980
nm).
The
proposed
device,
featuring
core‐shell
upconversion
nanoparticle/poly
(3‐hexylthiophene)
(P3HT)
nanocomposite
channels,
enables
absorption
conversion
of
NIR
into
high‐energy
photons
to
excite
more
photo
carriers
P3HT.
photon‐electron‐coupled
dynamics
under
synergy
photovoltaic
photogating
effects
influence
nonlinearity
high
dimensionality
RC
narrow‐band
irradiation.
also
exhibits
multilevel
data
storage
capability
(≥8
levels),
excellent
stability
(≥2000
s),
durability
(≥100
cycles).
accurately
identifies
static
dynamic
handwritten
digit
images,
achieving
recognition
accuracies
91.13%
90.07%,
respectively.
Thus,
tackles
intricate
computations
like
solving
second‐order
nonlinear
equations
with
minimal
errors
(normalized
mean
squared
error
1.06
×
10⁻
3
during
prediction).
Advanced Functional Materials,
Год журнала:
2024,
Номер
34(38)
Опубликована: Апрель 9, 2024
Abstract
Neuromorphic
device
that
percepts
ultraviolet
(UV)
radiations
is
essential
for
supplementing
human
visual
perception.
However,
UV‐responsive
synapses
with
high
sensitivity
and
wavelength
selectivity
have
not
yet
been
developed
so
far.
Herein,
2D
optoelectronic
are
able
to
distinguish
between
UV‐A,
UV‐,B
UV‐C
using
a
single
material
demonstrated.
The
use
Ca
2
Nb
3
O
10
nanosheets
wide
bandgap
persistent
photoconductivity
effect
(PPC)
as
layer.
devices
can
detect
rays
at
ultralow
intensity
of
70
nW
cm
−2
,
which
the
lowest
record
among
UV
synaptic
devices.
Moreover,
such
demonstrates
image
vision,
recognition,
memorization
functions
based
on
its
diverse
behaviors.
atomically
thin
provide
implications
enhancing
perception
capabilities
spectral
selectivity,
ultrahigh
sensitivity,
low‐energy
consumption.
Increasing
the
demand
for
object
motion
detection
(OMD)
requires
shifts
of
reducing
redundancy,
heightened
power
efficiency,
and
precise
programming
capabilities
to
ensure
consistency
accuracy.
Drawing
inspiration
from
motion-sensitive
ganglion
cells,
we
propose
an
OMD
vision
sensor
with
a
simple
device
structure
WSe
Theranostics,
Год журнала:
2024,
Номер
14(4), С. 1631 - 1646
Опубликована: Янв. 1, 2024
Diabetic
retinopathy
(DR),
a
complex
complication
of
diabetes
mellitus
(DM),
is
leading
cause
adult
blindness.Hyperglycemia
triggers
DR,
resulting
in
microvascular
damage,
glial
apoptosis,
and
neuronal
degeneration.Inflammation
oxidative
stress
play
crucial
roles
during
this
process.Current
clinical
treatments
for
DR
primarily
target
the
advanced
retinal
disorder
but
offer
limited
benefits
with
inevitable
side
effects.Extracellular
vesicles
(EVs)
exhibit
unique
morphological
features,
contents,
biological
properties
can
be
found
cell
culture
supernatants,
various
body
fluids,
tissues.In
EVs
specific
cargo
composition
would
induce
reaction
receptor
once
internalized,
mediating
cellular
communication
disease
progression.Increasing
evidence
indicates
that
monitoring
changes
EV
quantity
content
aid
diagnosis
prognosis.Furthermore,
extensive
research
investigating
potential
these
nanoparticles
as
effective
therapeutic
agents
preclinical
models
DR.This
review
explores
current
understanding
pathological
effects
development,
discusses
their
biomarkers
strategies,
paves
way
further
advancements.
Advanced Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 14, 2024
In
robotics,
particularly
for
autonomous
navigation
and
human-robot
collaboration,
the
significance
of
unconventional
imaging
techniques
efficient
data
processing
capabilities
is
paramount.
The
unstructured
environments
encountered
by
robots,
coupled
with
complex
missions
assigned
to
them,
present
numerous
challenges
necessitating
diverse
visual
functionalities,
consequently,
development
multifunctional
robotic
vision
systems
has
become
indispensable.
Meanwhile,
rich
diversity
inherent
in
animal
systems,
honed
over
evolutionary
epochs
meet
their
survival
demands
across
varied
habitats,
serves
as
a
profound
source
inspirations.
Here,
recent
advancements
drawing
inspiration
from
natural
ocular
structures
perception
mechanisms
are
delineated.
First,
unique
functionalities
eyes
terrestrial,
aerial,
aquatic
habitats
signal
mechanism
humans
explored.
Then,
designs
bio-inspired
electronic
explored,
engineered
mimic
key
components
underlying
optical
principles
eyes.
Furthermore,
neuromorphic
image
sensors
discussed,
emulating
functional
properties
synapses,
neurons,
retinas
thereby
enhancing
accuracy
efficiency
tasks.
Next,
integration
examples
mobile
robotic/biological
introduced.
Finally,
forward-looking
outlook
on
provided.