Advanced Science,
Journal Year:
2024,
Volume and Issue:
11(29)
Published: June 3, 2024
Abstract
The
development
of
high‐performance
artificial
synaptic
neuromorphic
devices
poses
a
significant
challenge
in
the
creation
biomimetic
sensing
neural
systems
that
seamlessly
integrate
both
sensory
and
computational
functionalities.
In
pursuit
this
objective,
promising
bionic
opto‐olfactory
co‐sensory
synapse
are
constructed
utilizing
BP‐C/CNT
(2D/1D)
hybrid
filter
membrane
as
resistive
layer.
Experimental
results
demonstrated
integrated
light
modulation,
gas
detection,
biological
functions
into
single
device
while
addressing
with
separating
from
sensors.
These
offered
following
advantages:
1)
Simulating
visual
synapses,
they
can
effectively
replicate
fundamental
under
electrical
optical
stimulation.
2)
By
emulating
olfactory
responses
to
specific
gases,
achieve
ultra‐low
detection
limits
rapid
identification
ethanol
acetone
gases.
3)
They
enable
photo‐olfactory
co‐sensing
simulations
mimic
function
light‐modulated
pulse
conditions
distinct
environments,
facilitating
study
learning
rules
Pavlovian
responses.
This
work
provides
pioneering
approach
for
exploring
highly
stable
2D
BP‐based
optoelectronics
advancing
systems.
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 Materials,
Journal Year:
2023,
Volume and Issue:
36(9)
Published: Sept. 23, 2023
Optoelectronic
memristors
(OMs)
have
emerged
as
a
promising
optoelectronic
Neuromorphic
computing
paradigm,
opening
up
new
opportunities
for
neurosynaptic
devices
and
systems.
These
OMs
possess
range
of
desirable
features
including
minimal
crosstalk,
high
bandwidth,
low
power
consumption,
zero
latency,
the
ability
to
replicate
crucial
neurological
functions
such
vision
optical
memory.
By
incorporating
large-scale
parallel
synaptic
structures,
are
anticipated
greatly
enhance
high-performance
low-power
in-memory
computing,
effectively
overcoming
limitations
von
Neumann
bottleneck.
However,
progress
in
this
field
necessitates
comprehensive
understanding
suitable
structures
techniques
integrating
low-dimensional
materials
into
integrated
circuit
platforms.
This
review
aims
offer
overview
fundamental
performance,
mechanisms,
design
applications,
integration
roadmap
memristors.
establishing
connections
between
materials,
multilayer
memristor
units,
monolithic
circuits,
seeks
provide
insights
emerging
technologies
future
prospects
that
expected
drive
innovation
widespread
adoption
near
future.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(33)
Published: Aug. 7, 2024
Artificial
neuromorphic
devices
can
emulate
dendric
integration,
axonal
parallel
transmission,
along
with
superior
energy
efficiency
in
facilitating
efficient
information
processing,
offering
enormous
potential
for
wearable
electronics.
However,
integrating
such
circuits
into
textiles
to
achieve
biomimetic
perception,
and
control
motion
feedback
remains
a
formidable
challenge.
Here,
we
engineer
quasi-solid-state
iontronic
synapse
fiber
(ISF)
comprising
photoresponsive
TiO
2
,
ion
storage
Co-MoS
an
transport
layer.
The
resulting
ISF
achieves
inherent
short-term
synaptic
plasticity,
femtojoule-range
consumption,
the
ability
transduce
chemical/optical
signals.
Multiple
ISFs
are
interwoven
synthetic
neural
fabric,
allowing
simultaneous
propagation
of
distinct
optical
signals
transmitting
information.
Importantly,
IFSs
multiple
input
electrodes
exhibit
spatiotemporal
integration.
As
proof
concept,
textile-based
multiplexing
sensorimotor
system
is
constructed
connect
fibers
artificial
muscles,
enabling
preneuronal
sensing
postneuronal
output
coordinated
motor
muscles.
proposed
holds
promise
electronics,
soft
robotics,
biomedical
engineering.
Advanced Functional Materials,
Journal Year:
2023,
Volume and Issue:
33(46)
Published: July 7, 2023
Abstract
Both
photodetectors
(PDs)
and
optoelectronic
synaptic
devices
(OSDs)
are
converting
light
signals
into
electrical
responses.
Optoelectronic
based
on
organic
semiconductors
halide
perovskites
have
aroused
tremendous
research
interest
owing
to
their
exceptional
optical/electrical
characteristics
low‐cost
processability.
The
heterojunction
formed
between
can
modify
the
exciton
dissociation/recombination
efficiency
modulate
charge‐trapping
effect.
Consequently,
semiconductor/halide
perovskite
heterojunctions
endow
PDs
OSDs
with
high
photo
responsivity
ability
simulate
functions
respectively,
making
them
appropriate
for
development
of
energy‐efficient
artificial
visual
systems
sensory
recognition
functions.
This
article
summarizes
recent
advances
in
this
field.
physical/chemical
properties
preparation
methods
briefly
introduced.
Then
heterojunctions,
as
well
innovative
applications,
systematically
presented.
Finally,
some
prospective
challenges
probable
strategies
future
discussed.
Deleted Journal,
Journal Year:
2023,
Volume and Issue:
2(1)
Published: Dec. 11, 2023
Abstract
Compared
with
traditional
rigid
actuators,
soft
actuators
exhibit
a
large
number
of
advantages,
including
enhanced
flexibility,
reconfigurability,
and
adaptability,
which
motivate
us
to
develop
artificial
widespread
applications.
Soft
MXene
nanomaterials
are
regarded
as
highly
promising
candidates
for
advancing
the
development
bioinspired
robotics
consequence
their
unprecedented
physicochemical
characteristics,
such
high
electronic
conductivity,
thermal
photothermal
conversion
capability,
abundant
surface
functional
groups.
Herein,
comprehensive
overview
recent
advancement
extensive
applications
from
perspective
bioinspiration
is
provided.
First,
synthetic
methods
properties
briefly
summarized.
Subsequently,
(including
photoresponsive
electroresponsive
chemoresponsive
actuators)
sequentially
investigated
focus
on
fabrication
approaches,
actuation
properties,
underlying
mechanisms,
At
end,
future
challenges
opportunities
rapid
discussed.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(21)
Published: Feb. 22, 2024
Abstract
Organic
ion‐gated
transistors
(OIGTs)
demonstrate
commendable
performance
for
versatile
neuromorphic
systems.
However,
due
to
the
fragility
of
organic
materials
solvents,
efficient
and
reliable
all‐photolithography
methods
scalable
manufacturing
high‐density
OIGT
arrays
with
multimode
functions
are
still
missing,
especially
when
all
active
layers
patterned
in
high‐density.
Here,
a
flexible
(9662
devices
per
cm
2
)
array
high
yield
minimal
device‐to‐device
variation
is
fabricated
by
modified
method.
The
unencapsulated
can
withstand
1000
times’
bending
at
radius
1
mm,
3
months’
storage
test
air,
without
obvious
degradation.
More
interesting,
OIGTs
be
configured
between
volatile
nonvolatile
modes,
suitable
constructing
reservoir
computing
systems
achieve
accuracy
classifying
handwritten
digits
low
training
costs.
This
work
proposes
promising
design
electronics
affordable
systems,
encompassing
both
algorithm
aspects.
Small Structures,
Journal Year:
2024,
Volume and Issue:
5(6)
Published: April 3, 2024
Memristive
devices
such
as
resistive
switching
memories
and
artificial
synapses
have
emerged
promising
technologies
to
overcome
the
technological
challenges
associated
with
von
Neumann
bottleneck.
Recently,
lead
halide
perovskites
drawn
substantial
research
attention
candidate
material
for
memristors
due
their
unique
optoelectronic
properties,
solution
processability,
mechanical
flexibility.
However,
toxicity
of
lead‐containing
species
has
raised
major
concerns
health
environment,
which
makes
it
crucial
transition
from
lead‐based
lead‐free
materials
practical
applications.
Herein,
recent
progress
metal
halides
including
perovskite
analogs
memory
synapse
is
reviewed.
Initially,
fundamentals
mechanisms
are
introduced.
Next,
design,
fabrication
technique,
device
performance
summarized
critically
evaluated
each
species.
Finally,
toward
outlined
discussed,
some
potential
directions
future
study
proposed.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(37)
Published: Feb. 29, 2024
Abstract
Human–machine
interaction
(HMI)
technology
has
undergone
significant
advancements
in
recent
years,
enabling
seamless
communication
between
humans
and
machines.
Its
expansion
extended
into
various
emerging
domains,
including
human
healthcare,
machine
perception,
biointerfaces,
thereby
magnifying
the
demand
for
advanced
intelligent
technologies.
Neuromorphic
computing,
a
paradigm
rooted
nanoionic
devices
that
emulate
operations
architecture
of
brain,
emerged
as
powerful
tool
highly
efficient
information
processing.
This
paper
delivers
comprehensive
review
developments
device‐based
neuromorphic
computing
technologies
their
pivotal
role
shaping
next‐generation
HMI.
Through
detailed
examination
fundamental
mechanisms
behaviors,
explores
ability
memristors
ion‐gated
transistors
to
intricate
functions
neurons
synapses.
Crucial
performance
metrics,
such
reliability,
energy
efficiency,
flexibility,
biocompatibility,
are
rigorously
evaluated.
Potential
applications,
challenges,
opportunities
using
HMI
technologies,
discussed
outlooked,
shedding
light
on
fusion
with
