Advanced Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 8, 2025
Abstract
Novel
neuromorphic
devices
constructed
from
low‐dimensional
materials
have
demonstrated
significant
potential
in
visual
perception
and
information
processing.
Colloidal
quantum
dots
(QDs)
exhibit
strong
light
absorption
tunable
band
gaps,
while
2D
provide
smooth
interfaces
channels
with
superior
charge
carrier
mobility.
However,
the
of
utilizing
QDs
as
floating
gates
remains
largely
underexplored.
Herein,
a
floating‐gate
phototransistor
based
on
mixed‐dimensional
heterostructure
0D‐CsPbBr
3
2D‐MoS
2
few
layer
is
introduced.
By
leveraging
optical
advantages
0D‐QDs
electrical
properties
materials,
mixed‐modal
in‐sensor
reservoir
computing
(RC)
realized.
Upon
electrical/optical
stimulation,
device
demonstrates
an
on/off
ratio
10
7
,
over
7‐bit
multistates,
nonlinear
memory
decay
behavior,
dynamics
time
scales.
Building
upon
these
characteristics,
enables
RC
using
mixed‐inputs
signals.
Furthermore,
accurate
recognition
endangered
species
under
extreme
weather
conditions
also
through
audio‐visual
fusion.
This
study
presents
compelling
paradigm
for
different‐dimensional
to
achieve
fusion
opens
new
pathways
mimicking
biological
multisensory
Advanced Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 21, 2025
Abstract
Mechanical
information
is
a
medium
for
perceptual
interaction
and
health
monitoring
of
organisms
or
intelligent
mechanical
equipment,
including
force,
vibration,
sound,
flow.
Researchers
are
increasingly
deploying
recognition
technologies
(MIRT)
that
integrate
acquisition,
pre‐processing,
processing
functions
expected
to
enable
advanced
applications.
However,
this
also
poses
significant
challenges
acquisition
performance
efficiency.
The
novel
exciting
mechanosensory
systems
in
nature
have
inspired
us
develop
superior
bionic
(MIBRT)
based
on
materials,
structures,
devices
address
these
challenges.
Herein,
first
strategies
pre‐processing
presented
their
importance
high‐performance
highlighted.
Subsequently,
design
considerations
sensors
by
mechanoreceptors
described.
Then,
the
concepts
neuromorphic
summarized
order
replicate
biological
nervous
system.
Additionally,
ability
MIBRT
investigated
recognize
basic
information.
Furthermore,
further
potential
applications
robots,
healthcare,
virtual
reality
explored
with
view
solve
range
complex
tasks.
Finally,
future
opportunities
identified
from
multiple
perspectives.
Advanced Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 12, 2025
Abstract
Advancements
in
artificial
intelligence
(AI)
and
big
data
have
highlighted
the
limitations
of
traditional
von
Neumann
architectures,
such
as
excessive
power
consumption
limited
performance
improvement
with
increasing
parameter
numbers.
These
challenges
are
significant
for
edge
devices
requiring
higher
energy
area
efficiency.
Recently,
many
reports
on
memristor‐based
neural
networks
(Mem‐NN)
using
resistive
switching
memory
shown
efficient
computing
a
low
requirement.
Even
further
optimization
can
be
made
engineering
mechanisms.
Nevertheless,
systematic
reviews
that
address
circuit‐to‐material
aspects
Mem‐NNs,
including
their
dedicated
algorithms,
remain
limited.
This
review
first
categorizes
into
three
components:
pre‐processing
units,
processing
learning
algorithms.
Then,
methods
to
improve
integration
operational
reliability
discussed
across
materials,
devices,
circuits,
algorithms
each
component.
Furthermore,
compares
recent
advancements
chip‐level
neuromorphic
hardware
conventional
systems,
graphic
units.
The
ongoing
future
directions
field
discussed,
highlighting
research
enhance
functionality
Mem‐NNs.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(22), P. 12368 - 12368
Published: Nov. 18, 2024
Nanotechnology
and
machine
learning
(ML)
are
rapidly
emerging
fields
with
numerous
real-world
applications
in
medicine,
materials
science,
computer
engineering,
data
processing.
ML
enhances
nanotechnology
by
facilitating
the
processing
of
dataset
nanomaterial
synthesis,
characterization,
optimization
nanoscale
properties.
Conversely,
improves
speed
efficiency
computing
power,
which
is
crucial
for
algorithms.
Although
capabilities
still
their
infancy,
a
review
research
literature
provides
insights
into
exciting
frontiers
these
suggests
that
integration
can
be
transformative.
Future
directions
include
developing
tools
manipulating
nanomaterials
ensuring
ethical
unbiased
collection
models.
This
emphasizes
importance
coevolution
technologies
mutual
reinforcement
to
advance
scientific
societal
goals.
Nano Letters,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 22, 2024
Two-dimensional
transition
metal
dichalcogenides
are
highly
promising
platforms
for
memristive
switching
devices
that
seamlessly
integrate
computation
and
memory.
Grain
boundaries
(GBs),
an
important
micro-nanoscale
structure,
hold
tremendous
potential
in
memristors,
but
their
role
remains
unclear
due
to
random
distribution,
which
hinders
fabrication.
Herein,
we
present
a
novel
chemical
vapor
deposition
approach
synthesize
star-shaped
MoS
