Journal of Semiconductors,
Год журнала:
2024,
Номер
45(12), С. 122302 - 122302
Опубликована: Дек. 1, 2024
Abstract
Simulating
the
human
olfactory
nervous
system
is
one
of
key
issues
in
field
neuromorphic
computing.
Olfactory
neurons
interact
with
gas
molecules,
transmitting
and
storing
odor
information
to
center
brain.
In
order
emulate
complex
functionalities
neurons,
this
study
presents
a
flexible
synapse
transistor
(OST)
based
on
pentacene/C8-BTBT
organic
heterojunction.
By
modulating
interface
between
energy
bands
semiconductor
layers,
device
demonstrates
high
sensitivity
(ppb
level)
memory
function
for
NH
3
sensing.
Typical
synaptic
behaviors
triggered
by
pulses
have
been
successfully
demonstrated,
such
as
inhibitory
postsynaptic
currents
(IPSC),
paired-pulse
depression
(PPD),
long-term
potentiation/depression
(LTP/LTD),
transition
from
short-term
(STD)
(LTD).
Furthermore,
maintains
stable
functions
even
under
different
bending
conditions,
which
can
present
new
insights
possibilities
systems
bio-inspired
electronic
products.
Agriculture,
Год журнала:
2024,
Номер
14(11), С. 1977 - 1977
Опубликована: Ноя. 4, 2024
Neuromorphic
computing
has
received
more
and
attention
recently
since
it
can
process
information
interact
with
the
world
like
human
brain.
Agriculture
is
a
complex
system
that
includes
many
processes
of
planting,
breeding,
harvesting,
processing,
storage,
logistics,
consumption.
Smart
devices
in
association
artificial
intelligence
(AI)
robots
Internet
Things
(IoT)
systems
have
been
used
also
need
to
be
improved
accommodate
growth
computing.
great
potential
promote
development
smart
agriculture.
The
aim
this
paper
describe
current
principles
neuromorphic
technology,
explore
examples
applications
agriculture,
consider
future
route
synapses,
neurons,
neural
networks
(ANNs).
A
expected
improve
agricultural
production
efficiency
ensure
food
quality
safety
for
nutrition
health
agriculture
future.
IEEE Sensors Journal,
Год журнала:
2024,
Номер
24(13), С. 20289 - 20311
Опубликована: Май 17, 2024
The
advent
of
the
5G
era
means
that
concepts
robot,
VR/AR,
UAV,
smart
home,
healthcare
based
on
IoT
(Internet
Things)
have
gradually
entered
human
life.
Since
then,
intelligent
life
has
become
dominant
direction
social
development.
Humidity
sensors,
as
humidity
detection
tools,
not
only
convey
comfort
living
environment,
but
also
display
great
significance
in
fields
meteorology,
medicine,
agriculture
and
industry.
Graphene-based
materials
exhibit
tremendous
potential
sensing
owing
to
their
ultra-high
specific
surface
area
excellent
electron
mobility
under
room
temperature
for
application
sensing.
This
review
begins
with
introduction
examples
various
synthesis
strategies
graphene,
followed
by
device
structure
working
mechanism
graphene-based
sensor.
In
addition,
several
different
structural
design
methods
graphene
are
summarized,
demonstrating
can
optimize
performance
bring
significant
advantages
Finally,
key
challenges
hindering
further
development
practical
high-performance
sensors
discussed,
presenting
future
perspectives.
Applied Physics Reviews,
Год журнала:
2024,
Номер
11(4)
Опубликована: Окт. 1, 2024
In
the
era
of
artificial
intelligence
and
smart
automated
systems,
quest
for
efficient
data
processing
has
driven
exploration
into
neuromorphic
aiming
to
replicate
brain
functionality
complex
cognitive
actions.
This
review
assesses,
based
on
recent
literature,
challenges
progress
in
developing
basic
focusing
“material-neuron”
concepts,
that
integrate
structural
similarities,
analog
memory,
retention,
Hebbian
learning
brain,
contrasting
with
conventional
von
Neumann
architecture
spiking
circuits.
We
categorize
these
devices
filamentary
non-filamentary
types,
highlighting
their
ability
mimic
synaptic
plasticity
through
external
stimuli
manipulation.
Additionally,
we
emphasize
importance
heterogeneous
neural
content
support
conductance
linearity,
plasticity,
volatility,
enabling
effective
storage
various
types
information.
Our
comprehensive
approach
categorizes
fundamentally
different
under
a
generalized
pattern
dictated
by
driving
parameters,
namely,
pulse
number,
amplitude,
duration,
interval,
as
well
current
compliance
employed
contain
conducting
pathways.
also
discuss
hybridization
protocols
fabricating
systems
making
use
existing
complementary
metal
oxide
semiconductor
technologies
being
practiced
silicon
foundries,
which
perhaps
ensures
smooth
translation
user
interfacing
new
generation
devices.
The
concludes
outlining
insights
challenges,
future
directions
realizing
deployable
field
intelligence.
Small Structures,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 8, 2024
The
rapid
advancement
of
artificial
intelligent
and
information
technology
has
led
to
a
critical
need
for
extremely
low
power
consumption
excellent
efficiency.
capacity
neuromorphic
computing
handle
large
amounts
data
with
garnered
lot
interest
during
the
last
few
decades.
For
applications,
2D
layered
semiconductor
materials
have
shown
pivotal
role
due
their
distinctive
properties.
This
comprehensive
review
provides
an
extensive
study
recent
advancements
in
materials‐based
devices
especially
multiterminal
synaptic
devices,
two‐terminal
neuronal
integration
devices.
Herein,
wide
range
potential
applications
memory,
computation,
adaptation,
intelligence
is
incorporated.
Finally,
limitations
challenges
based
on
novel
are
discussed.
Thus,
this
aims
illuminate
design
fabrication
van
der
Waals
(vdW)
heterostructure
materials,
leveraging
promising
engineering
techniques
excel
hardware
implementations.
