Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(25)
Published: Feb. 1, 2024
Abstract
Empowering
displays
with
intelligent
functions
enables
their
application
in
image
processing
and
interactive
displays,
which
is
the
combination
of
future
display
artificial
intelligence
technologies.
However,
existing
technologies
face
significant
transmission
burdens
due
to
conventional
hardware
separation
architecture,
separates
memory
from
processor
module
module.
To
address
these
challenges,
a
highly
integrated
memory‐
processing‐display
light‐emitting
(MPDIH)
capable
information
generation,
memory,
processing,
visualization
proposed.
The
MPDIH,
based
on
an
organic
light‐sensitive
layer
activated
by
ultraviolet
light
irradiation,
exhibits
unique
photoinhibition
behavior
attributed
reverse
light‐induced
electric
field
formed
directional
arrangement
photo‐generated
excitons.
This
dynamic
regulation
autonomous
learning
during
device
training
process.
Leveraging
this
phenomenon,
successfully
demonstrated,
achieving
contrast
improvement
maximum
enhancement
261%
compared
unprocessed
raw
signals.
Furthermore,
memory‐processing‐display
scheme
fashion
MNIST
recognition
using
neural
network,
achieves
noticeably
higher
accuracy
(>89%)
original
fuzzy
images
(<59%).
Consequently,
proposed
holds
promise
for
applications
photonic
systems
displays.
Advanced Science,
Journal Year:
2023,
Volume and Issue:
10(29)
Published: Aug. 17, 2023
Energy-autonomous
wearable
human
activity
monitoring
is
imperative
for
daily
healthcare,
benefiting
from
long-term
sustainable
uses.
Herein,
a
fully
self-powered
system,
enabling
real-time
and
assessments
of
multimodal
health
parameters
including
knee
joint
movement,
metabolic
energy,
locomotion
speed,
skin
temperature,
which
are
by
highly-efficient
flexible
thermoelectric
generators
(f-TEGs)
proposed
developed.
The
system
composed
f-TEGs,
fabric
strain
sensors,
ultra-low-power
edge
computing,
Bluetooth.
f-TEGs
worn
on
the
leg
not
only
harvest
energy
body
heat
supply
power
sustainably
whole
but
also
serve
as
zero-power
motion
sensors
to
detect
limb
movement
temperature.
sensor
made
printing
PEDOT:
PSS
pre-stretched
nylon
fiber-wrapped
rubber
band
enables
high-fidelity
ultralow-power
measurements
highly-dynamic
movements.
Edge
computing
elaborately
designed
estimate
time-varying
in
real-time,
wirelessly
transmitted
via
operated
automatically
intelligently,
works
both
static
dynamic
states,
f-TEGs.
Advanced Materials Technologies,
Journal Year:
2023,
Volume and Issue:
8(12)
Published: April 10, 2023
Abstract
The
rational
design
and
applications
of
MXene‐based
materials
have
yielded
remarkable
progress
in
flexible
sensors,
including
wearable
devices,
soft
robots,
smart
medical
equipment.
emerging
MXene
substrate
can
be
precisely
engineered
to
improve
the
mechanical
properties
sensing
sensitivity
opening
up
a
wider
range
application
possibilities
for
sensors.
Therefore,
systematic
comprehensive
review
summarizing
sensor
research
based
on
these
backgrounds
is
necessary.
First,
we
discuss
basic
structure
introduce
sensors
detail.
Then,
also
different
preparation
methods
describe
classifications,
highlight
various
scenarios.
Finally,
identify
challenges
that
need
overcome
accelerate
development
sensing.
This
provides
insight
into
it
expected
this
will
contribute
higher
performance
Small,
Journal Year:
2023,
Volume and Issue:
20(4)
Published: Sept. 20, 2023
Abstract
MXenes
are
a
class
of
2D
materials
that
include
layered
transition
metal
carbides,
nitrides,
and
carbonitrides.
Since
their
inception
in
2011,
they
have
garnered
significant
attention
due
to
diverse
compositions,
unique
structures,
extraordinary
properties,
such
as
high
specific
surface
areas
excellent
electrical
conductivity.
This
versatility
has
opened
up
immense
potential
various
fields,
catalyzing
surge
MXene
research
leading
note
worthy
advancements.
review
offers
an
in‐depth
overview
the
evolution
over
past
5
years,
with
emphasis
on
synthetic
strategies,
structure‐property
relationships,
technological
prospects.
A
classification
scheme
for
structures
based
entropy
is
presented
updated
summary
elemental
constituents
family
provided,
documented
recent
literature.
Delving
into
microscopic
structure
synthesis
routes,
intricate
relationships
explored
at
nano/micro
level
dictate
macroscopic
applications
MXenes.
Through
extensive
latest
representative
works,
utilization
energy,
environmental,
electronic,
biomedical
fields
showcased,
offering
glimpse
current
bottlenecks,
asstability,
scalability,
device
integration.
Moreover,
pathways
advancing
toward
next‐generation
technologies
highlighted.
Advanced Electronic Materials,
Journal Year:
2023,
Volume and Issue:
9(6)
Published: April 23, 2023
Abstract
The
essential
step
for
developing
neuromorphic
systems
is
to
construct
more
biorealistic
elementary
devices
with
rich
spatiotemporal
dynamics
exhibit
highly
separable
responses
in
dynamic
environmental
circumstances.
Unlike
transistor‐based
and
circuits
zeroth‐order
complexity,
memristors
intrinsically
express
some
simple
biomimetic
functions.
However,
only
two‐terminal
structure,
precise
control
of
operation
principles
ensure
large
space,
improved
linearity
symmetry,
multimodal
as
well
high‐order
complexity
hard
achieve
a
traditional
memristor
owing
its
limited
degree
freedom.
Therefore,
multiterminal
including
both
concrete
terminals
virtual
(light,
pressure,
gas,
ferroelectric
polarity,
etc.)
have
been
proposed
obtain
modulation
memristive
characteristics.
This
review
focuses
on
the
recent
progress
their
applications.
principle,
application
computing
different
scenarios,
existing
challenges
future
prospects
are
discussed.
Chemical Society Reviews,
Journal Year:
2024,
Volume and Issue:
53(6), P. 3096 - 3133
Published: Jan. 1, 2024
The
latest
advancements
in
two-dimensional
organic–inorganic
van
der
Waals
heterojunctions,
including
their
classification,
construction,
and
device
applications,
elucidating
structure–property
relationship
based
on
interface
engineering.
Nano Letters,
Journal Year:
2024,
Volume and Issue:
24(14), P. 4132 - 4140
Published: March 27, 2024
Inspired
by
the
retina,
artificial
optoelectronic
synapses
have
groundbreaking
potential
for
machine
vision.
The
field-effect
transistor
is
a
crucial
platform
that
highly
sensitive
to
external
stimuli
and
can
modulate
conductivity.
On
basis
of
decent
optical
absorption,
perovskite
materials
been
widely
employed
constructing
synaptic
transistors.
However,
reported
transistors
focus
on
static
processing
independent
at
different
moments,
while
natural
visual
information
consists
temporal
signals.
Here,
we
report
CsPbBrI2
nanowire-based
study
dynamic
responses
time-varying
first
time.
Moreover,
behavior,
hardware
system
with
an
accuracy
85%
built
trajectory
moving
objects.
This
work
offers
new
way
develop
construction
vision
systems.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(18)
Published: Jan. 23, 2024
Abstract
Organic
photoelectric
neuromorphic
devices
that
mimic
the
brain
are
widely
explored
for
advanced
perceptual
computing.
However,
current
individual
synaptic
mainly
focus
on
utilizing
linear
models
to
process
optoelectronic
signals,
which
means
there
is
a
lack
of
effective
response
nonlinear
structural
information
from
real
world,
severely
limiting
computational
efficiency
and
adaptability
networks
static
dynamic
information.
Here,
feedforward
photoadaptive
organic
transistor
with
mixed‐weight
plasticity
reported.
By
introducing
potential
space
charge
couple
gate
potential,
photoexcitation,
photoinhibition
occur
successively
in
channel
under
interference
constant
light
intensity,
enables
device
transform
model
model.
As
result,
exhibits
range
over
100
dB,
exceeding
currently
reported
similar
devices.
Further,
achieves
adaptive
tone
mapping
within
5
s
90%
robustness
recognition
accuracy
Therefore,
this
work
provides
new
strategy
developing
has
great
fields
intelligent
driving
brain‐like
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.
