Advanced Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 8, 2024
Abstract
2D‐layered
materials
are
recognized
as
up‐and‐coming
candidates
to
overcome
the
intrinsic
physical
limitation
of
silicon‐based
devices.
Herein,
coexistence
positive
persistent
photoconductivity
(PPPC)
and
negative
(NPPC)
in
SnSe
thin
films
prepared
by
pulsed
laser
deposition
provides
an
excellent
avenue
for
engineering
novel
It
is
determined
that
surface
oxygen
co‐regulated
physisorption
chemisorption,
NPPC
attributed
photo‐controllable
desorption
behavior.
The
dominant
behavior
chemisorption
induces
high
stability,
while
room
adjusting
NPPC.
A
simple
fully
light‐modulated
artificial
synaptic
device
based
on
film
constructed
operate
various
plasticity
reversible
modulation
conductance
applying
430
255
nm
illuminations.
three‐layer
neural
network
structure
with
a
accuracy
95.33%
recognize
handwritten
digital
images
implemented
device.
Furthermore,
pressure‐related
cognition
response
humans
climbing
foraging
recognition
behaviors
anemonefish
mimicked.
This
work
demonstrates
potential
developing
neuromorphic
computing
simulating
biological
without
additional
treatment.
one‐step
method
preparation
highly
adaptable
expected
realize
large‐area
growth
integration
SnSe‐based
Advanced Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 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.
ACS Applied Materials & Interfaces,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 13, 2025
Advances
in
the
semiconductor
industry
have
been
limited
owing
to
constraints
imposed
by
silicon-based
CMOS
technology;
hence,
innovative
device
design
approaches
are
necessary.
This
study
focuses
on
"more
than
Moore"
approaches,
specifically
neuromorphic
computing.
Although
MoS2
devices
attracted
attention
as
computing
candidates,
their
performances
due
environment-induced
perturbations
carrier
dynamics
and
formation
of
defect
states.
explores
integration
hydrocarbon
(HC)
layers
onto
active
channels
enhance
characteristics.
HC
were
employed
proposed
field-effect
transistor
facilitate
stable
optoelectrical
control
over
channel
under
high-power
stimulation.
The
improved
electrical
performance,
stability,
synaptic
behaviors
HC-capped
compared
uncapped
counterparts
experimentally
demonstrated.
combination
optical
tuning
allowed
for
in-sensor
applications
that
mimic
human
sensory
behaviors.
impact
passivation
performance
was
evaluated,
its
potential
with
high
stability
demonstrated
across
wide-ranging
environmental
conditions.
unique
capabilities
examining
spike
duration-dependent
plasticity
spiking
timing-dependent
plasticity.
Thus,
approach
offers
a
promising
avenue
advancing
technologies.
Journal of Physics D Applied Physics,
Год журнала:
2025,
Номер
58(13), С. 135110 - 135110
Опубликована: Янв. 24, 2025
Abstract
Artificial
synaptic
devices
are
the
hardware
foundation
of
modern
computing
systems
which
have
shown
great
potential
in
overcoming
bottleneck
traditional
von-Neumann
architectures.
Organic
transistors
garnered
considerable
attention
due
to
their
merits,
such
as
low
cost,
weight,
and
mechanical
flexibility.
Various
materials
utilized
for
charge-capture
layer
organic
transistors.
Indium
gallium
zinc
oxide
(IGZO)
is
a
typical
metal
semiconductor
with
wide
bandgap,
high
carrier
mobility,
stable
characteristics.
Moreover,
IGZO
an
n-type
lower
highest
occupied
molecular
orbital
(HOMO)
lowest
unoccupied
(LUMO)
energy
level
compared
p-type
semiconductor,
has
capture
material
fabricate
high-performance
devices.
However,
application
trapping
received
limited
attention.
Consequently,
transistor
based
on
organic/inorganic
heterojunction
was
developed.
The
impact
program/erase
time
memory
performance
investigated,
revealing
that
window
ratio
increased
write/erase
extended.
Additionally,
behavior
were
successfully
emulated,
including
excitatory/inhibitory
postsynaptic
current,
paired-pulse
facilitation,
depression,
high-pass
filtering
characteristics,
transformation
short-term
plasticity
long-term
plasticity.
Notably,
inorganic–organic
bilayer
achieved
recognition
accuracy
89.2%
using
Modified
National
Institute
Standards
Technology
dataset
handwritten
digit
training.
This
study
provides
facile
route
fabricating
transistors,
paving
way
development
advanced
brain-like
computers.
ABSTRACT
Organic
field‐effect
transistors
(OFETs),
with
their
potential
for
low‐cost
manufacturing
and
compatibility
flexible
substrates,
have
emerged
as
an
indispensable
element
in
next‐generation
electronics.
However,
the
existing
OFETs
are
significantly
hindered
by
lack
of
reconfigurability
multifunctionality
application
complex
electronic
systems.
To
address
these
limitations,
we
propose
a
novel
design
strategy
to
develop
dual‐gate
organic
transistor
(DG‐OFET),
primarily
featuring
synergistic
combination
interface
charge
trapping
nonvolatile
nature
ferroelectric
polarization,
which
realizes
multifunctional
integration
within
single
platform.
Specifically,
DG‐OFET
can
be
utilized
synaptic
devices
that
successfully
perform
both
short‐term
long‐term
plasticity
manipulating
input
gate
artificial
pulse
voltages,
depending
on
switching
mechanism
between
bottom‐gate
controlled
electrostatic
doping
top‐gate
induced
polarization.
Besides,
presynaptic
spike
applied
specific
electrode
trigger
excitatory
inhibitory
postsynaptic
current
response.
The
potentiation
depression
weight
mimicked
consecutive
positive
negative
spikes,
respectively.
coupling
further
expands
its
functionality
towards
simulating
operation
logic
gates.
By
modulating
signals,
channel
conductivity
analogously
family
elementary
Boolean
operations,
including
AND,
OR,
NAND,
NOR,
XOR,
XNOR.
These
results
highlight
tremendous
applications
energy‐efficient
neuromorphic
computing
networks
circuits,
thus
providing
versatile
development
advanced
efficient
integration.
Advanced Electronic Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 20, 2025
Abstract
Neuromorphic
systems,
inspired
by
the
human
brain,
promise
significant
advancements
in
computational
efficiency
and
power
consumption
integrating
processing
memory
functions,
thereby
addressing
von
Neumann
bottleneck.
This
paper
explores
synaptic
plasticity
of
a
WO
3
‐based
ion‐gated
transistor
()
[EMIM][TFSI]
0.1
mol
L
−1
LiTFSI
for
neuromorphic
computing
applications.
Cyclic
voltammetry
(CV),
characteristics,
atomic
force
microscopy
(AFM)
force–distance
(FD)
profiling
analyses
reveal
that
Li
+
brings
about
ion
intercalation,
together
with
higher
mobility
conductance,
slower
response
time
(τ).
IGTs
exhibit
spike
amplitude‐dependent
(SADP),
number‐dependent
(SNDP),
duration‐dependent
(SDDP),
frequency‐dependent
(FDP),
paired‐pulse
facilitation
(PPF),
which
are
all
crucial
mimicking
biological
functions
understanding
how
to
achieve
different
types
same
IGT.
The
findings
underscore
importance
selecting
appropriate
ionic
medium
optimize
performance
transistors,
enabling
development
systems
capable
adaptive
learning
real‐time
processing,
essential
applications
artificial
intelligence
(AI).
Nano-Micro Letters,
Год журнала:
2025,
Номер
17(1)
Опубликована: Март 24, 2025
Abstract
Rapid
development
of
artificial
intelligence
requires
the
implementation
hardware
systems
with
bioinspired
parallel
information
processing
and
presentation
energy
efficiency.
Electrolyte-gated
organic
transistors
(EGOTs)
offer
significant
advantages
as
neuromorphic
devices
due
to
their
ultra-low
operation
voltages,
minimal
hardwired
connectivity,
similar
environment
electrophysiology.
Meanwhile,
ionic–electronic
coupling
relatively
low
elastic
moduli
channel
materials
make
EGOTs
suitable
for
interfacing
biology.
This
review
presents
an
overview
device
architectures
based
on
electrochemical
field-effect
transistors.
Furthermore,
we
requirements
consumption
tunable
synaptic
plasticity
in
emulating
biological
synapses
how
they
are
affected
by
materials,
electrolyte,
architecture,
mechanism.
In
addition,
summarize
basic
principle
sensory
recent
progress
a
building
block
systems.
Finally,
current
challenges
future
discussed.
Nano-Micro Letters,
Год журнала:
2025,
Номер
17(1)
Опубликована: Апрель 14, 2025
Abstract
As
an
emerging
memory
device,
memristor
shows
great
potential
in
neuromorphic
computing
applications
due
to
its
advantage
of
low
power
consumption.
This
review
paper
focuses
on
the
application
low-power-based
memristors
various
aspects.
The
concept
and
structure
devices
are
introduced.
selection
functional
materials
for
low-power
is
discussed,
including
ion
transport
materials,
phase
change
magnetoresistive
ferroelectric
materials.
Two
common
types
arrays,
1T1R
1S1R
crossbar
arrays
introduced,
physical
diagrams
edge
chips
discussed
detail.
Potential
advanced
multi-value
storage,
digital
logic
gates,
analogue
summarized.
Furthermore,
future
challenges
outlook
based
deeply
discussed.