Small,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 19, 2025
Abstract
Memristors
and
artificial
synapses
have
attracted
tremendous
attention
due
to
their
promising
potential
for
application
in
the
field
of
neural
morphological
computing,
but
at
same
time,
continuous
optimization
improvement
energy
consumption
are
also
highly
desirable.
In
recent
years,
it
has
been
demonstrated
that
heterojunction
is
great
significance
improving
memristors
synapses.
By
optimizing
material
composition,
interface
characteristics,
device
structure
heterojunctions,
can
be
reduced,
performance
stability
durability
improved,
providing
strong
support
achieving
low‐power
computing
systems.
Herein,
we
review
progress
on
heterojunction‐based
by
summarizing
working
mechanisms
advances
memristors,
terms
selection,
design,
fabrication
techniques,
strategies,
etc.
Then,
applications
neuromorphological
deep
learning
introduced
discussed.
After
that,
remaining
bottlenecks
restricting
development
discussed
detail.
Finally,
corresponding
strategies
overcome
challenges
proposed.
We
believe
this
may
shed
light
high‐performance
synapse
devices.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(3), P. 1564 - 1564
Published: Jan. 26, 2024
Conducting
polymers
(CPs)
are
an
innovative
class
of
materials
recognized
for
their
high
flexibility
and
biocompatibility,
making
them
ideal
choice
health
monitoring
applications
that
require
flexibility.
They
active
in
design.
Advances
fabrication
technology
allow
the
incorporation
CPs
at
various
levels,
by
combining
diverse
monomers
with
metal
particles,
2D
materials,
carbon
nanomaterials,
copolymers
through
process
polymerization
mixing.
This
method
produces
unique
physicochemical
properties
is
highly
customizable.
In
particular,
development
expanded
surface
area
conductivity
has
significantly
improved
performance
sensors,
providing
sensitivity
expanding
range
available
options.
However,
due
to
morphological
diversity
new
thus
variety
characteristics
can
be
synthesized
other
types
functionalities,
choosing
right
combination
a
sensor
application
difficult
but
becomes
important.
review
focuses
on
classifying
role
CP
highlights
recent
advances
design,
especially
field
healthcare
monitoring.
It
also
synthesizes
sensing
mechanisms
evaluates
electrochemical
surfaces
Furthermore,
revolutionized
will
discussed
detail.
Nano-Micro Letters,
Journal Year:
2024,
Volume and Issue:
16(1)
Published: June 6, 2024
Abstract
Manipulating
the
expression
of
synaptic
plasticity
neuromorphic
devices
provides
fascinating
opportunities
to
develop
hardware
platforms
for
artificial
intelligence.
However,
great
efforts
have
been
devoted
exploring
biomimetic
mechanisms
simulation
in
last
few
years.
Recent
progress
various
modulation
techniques
has
pushed
research
electronics
from
static
dynamic
modulation,
improving
accuracy
computing
and
providing
strategies
implementing
sensing
functions.
Herein,
several
through
chemical
techniques,
device
structure
design,
physical
signal
are
reviewed.
For
underlying
modification
functional
materials
were
clarified
its
effect
on
was
also
highlighted.
Based
reconfigurable
operation
well
demonstrated
achieve
programmable
Besides,
integrating
sensory
units
with
processing
circuits
paved
a
new
way
human-like
intelligent
perception
under
signals
such
as
light,
strain,
temperature.
Finally,
considering
that
relevant
technology
is
still
basic
exploration
stage,
some
prospects
or
development
suggestions
put
forward
promote
devices.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 3, 2024
In
the
era
of
artificial
intelligence
(AI),
there
is
a
growing
interest
in
replicating
human
sensory
perception.
Selective
and
sensitive
bio-inspired
receptors
with
synaptic
plasticity
have
recently
gained
significant
attention
developing
energy-efficient
AI
Various
their
applications
perception
are
reviewed
here.
The
critical
challenges
for
future
development
outlined,
emphasizing
need
innovative
solutions
to
overcome
hurdles
sensor
design,
integration,
scalability.
can
revolutionize
various
fields,
including
human-machine
interaction,
autonomous
systems,
medical
diagnostics,
environmental
monitoring,
industrial
optimization,
assistive
technologies.
As
advancements
sensing
continue
accelerate,
promise
creating
more
intelligent
adaptive
systems
becomes
increasingly
attainable,
marking
step
forward
evolution
human-like
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(35)
Published: June 27, 2024
Sense
digitalization,
the
process
of
transforming
sensory
experiences
into
digital
data,
is
an
emerging
research
frontier
that
links
physical
world
with
human
perception
and
interaction.
Inspired
by
adaptability,
fault
tolerance,
robustness,
energy
efficiency
biological
senses,
this
field
drives
development
numerous
innovative
digitalization
techniques.
Neuromorphic
bioelectronics,
characterized
biomimetic
stand
out
for
their
seamless
bidirectional
interactions
entities
through
stimulus-response
feedback
loops,
incorporating
bio-neuromorphic
intelligence
information
exchange.
This
review
illustrates
recent
progress
in
encompassing
not
only
representation
sensations
such
as
touch,
light,
temperature,
correlating
to
tactile,
visual,
thermal
perceptions,
but
also
detection
biochemical
stimuli
gases,
ions,
neurotransmitters,
mirroring
olfactory,
gustatory,
neural
processes.
It
thoroughly
examines
material
design,
device
manufacturing,
system
integration,
offering
detailed
insights.
However,
faces
significant
challenges,
including
new
device/system
paradigms,
forging
genuine
connections
systems,
ensuring
compatibility
semiconductor
industry
overcoming
absence
standardization.
Future
ambition
includes
realization
biocompatible
prosthetics,
exoskeletons,
soft
humanoid
robots,
cybernetic
devices
integrate
smoothly
both
tissues
artificial
components.
Science Advances,
Journal Year:
2024,
Volume and Issue:
10(21)
Published: May 23, 2024
Neuromorphic
sensors,
designed
to
emulate
natural
sensory
systems,
hold
the
promise
of
revolutionizing
data
extraction
by
facilitating
rapid
and
energy-efficient
analysis
extensive
datasets.
However,
a
challenge
lies
in
accurately
distinguishing
specific
analytes
within
mixtures
chemically
similar
compounds
using
existing
neuromorphic
chemical
sensors.
In
this
study,
we
present
an
artificial
olfactory
system
(AOS),
developed
through
integration
human
receptors
(hORs)
synapses.
This
AOS
is
engineered
interfacing
hOR-functionalized
extended
gate
with
organic
synaptic
device.
The
generates
distinct
patterns
for
odorants
thereof,
at
molecular
chain
length
level,
attributed
hOR-odorant
binding
affinities.
approach
enables
precise
pattern
recognition
via
training
inference
simulations.
These
findings
establish
foundation
development
high-performance
sensor
platforms
which
are
ideal
applications
wearable
implantable
devices.
Nano-Micro Letters,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: Nov. 4, 2024
Abstract
Gas
sensor
is
an
indispensable
part
of
modern
society
with
wide
applications
in
environmental
monitoring,
healthcare,
food
industry,
public
safety,
etc.
With
the
development
technology,
wireless
communication,
smart
monitoring
terminal,
cloud
storage/computing
and
artificial
intelligence,
gas
sensors
represent
future
sensing
due
to
their
merits
real-time
multifunctional
early
warning
function,
intelligent
automated
feature.
Various
electronic
optoelectronic
have
been
developed
for
high-performance
analysis.
terminals
maturity
integrated
flexible
wearable
play
increasing
role
This
review
highlights
recent
advances
diverse
applications.
The
structural
components
fundamental
principles
are
described,
devices
highlighted.
Moreover,
array
intelligence
algorithms
“Internet
Things”
paradigm
introduced.
Finally,
challenges
perspectives
discussed
regarding
need
city
healthy
living.
Agriculture,
Journal Year:
2024,
Volume and Issue:
14(11), P. 1977 - 1977
Published: Nov. 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.
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.
