Advanced Materials Technologies,
Год журнала:
2024,
Номер
9(11)
Опубликована: Март 26, 2024
Abstract
Pain‐perceptual
Nociceptors
(PPNs)
in
the
biological
sensory
system
are
critical
for
human
body
to
perceive
noxious
stimuli
from
outside
world
and
start
appropriate
motor
responses
minimize
potential
physical
damage.
Realization
artificial
nociceptors
with
unique
synaptic
pain‐perceptual
functions
of
nervous
is
a
key
step
develop
next‐generation
intelligence
systems.
Here,
an
device
based
on
ionic
liquid‐polymer
solid‐state
electrolyte‐gated
poly(3‐hexylthiophene)
(P3HT)
transistor
reported.
With
drift
motion
mobile
ions
electrolyte
layer
formation
electric
double
(EDL)
at
electrolyte/semiconductor
interface
under
applied
field,
channel
conductance
can
be
tuned
progressively
exhibit
weight
modulation
function.
On
top
functions,
P3HT/electrolyte‐based
successfully
emulates
pain‐perception
process
nociceptor,
all
features
threshold,
no
adaptation,
sensitization/desensitization,
relaxation.
Moreover,
pain
conditioning
(i.e.,
hyperalgesic
response,
extinction
effect)
through
associative
learning
demonstrated
using
transistor,
indicating
its
application
bio‐inspired
neural
ACS Nano,
Год журнала:
2023,
Номер
17(6), С. 5211 - 5295
Опубликована: Март 9, 2023
Humans
rely
increasingly
on
sensors
to
address
grand
challenges
and
improve
quality
of
life
in
the
era
digitalization
big
data.
For
ubiquitous
sensing,
flexible
are
developed
overcome
limitations
conventional
rigid
counterparts.
Despite
rapid
advancement
bench-side
research
over
last
decade,
market
adoption
remains
limited.
To
ease
expedite
their
deployment,
here,
we
identify
bottlenecks
hindering
maturation
propose
promising
solutions.
We
first
analyze
achieving
satisfactory
sensing
performance
for
real-world
applications
then
summarize
issues
compatible
sensor-biology
interfaces,
followed
by
brief
discussions
powering
connecting
sensor
networks.
Issues
en
route
commercialization
sustainable
growth
sector
also
analyzed,
highlighting
environmental
concerns
emphasizing
nontechnical
such
as
business,
regulatory,
ethical
considerations.
Additionally,
look
at
future
intelligent
sensors.
In
proposing
a
comprehensive
roadmap,
hope
steer
efforts
towards
common
goals
guide
coordinated
development
strategies
from
disparate
communities.
Through
collaborative
efforts,
scientific
breakthroughs
can
be
made
sooner
capitalized
betterment
humanity.
Science and Technology of Advanced Materials,
Год журнала:
2023,
Номер
24(1)
Опубликована: Янв. 3, 2023
With
the
booming
growth
of
artificial
intelligence
(AI),
traditional
von
Neumann
computing
architecture
based
on
complementary
metal
oxide
semiconductor
devices
are
facing
memory
wall
and
power
wall.
Memristor
in-memory
can
potentially
overcome
current
bottleneck
computer
achieve
hardware
breakthrough.
In
this
review,
recent
progress
in
material
structure
design,
device
performance
applications
summarized.
Various
resistive
switching
materials,
including
electrodes,
binary
oxides,
perovskites,
organics,
two-dimensional
presented
their
role
memristor
discussed.
Subsequently,
construction
shaped
design
functional
layer
other
factors
influencing
analyzed.
We
focus
modulation
resistances
effective
methods
to
enhance
performance.
Furthermore,
synaptic
plasticity,
optical-electrical
properties,
fashionable
logic
operation
analog
calculation
introduced.
Finally,
some
critical
issues
such
as
mechanism,
multi-sensory
fusion,
system-level
optimization
Nature Communications,
Год журнала:
2023,
Номер
14(1)
Опубликована: Июнь 10, 2023
The
cone
photoreceptors
in
our
eyes
selectively
transduce
the
natural
light
into
spiking
representations,
which
endows
brain
with
high
energy-efficiency
color
vision.
However,
cone-like
device
color-selectivity
and
spike-encoding
capability
remains
challenging.
Here,
we
propose
a
metal
oxide-based
vertically
integrated
photoreceptor
array,
can
directly
persistent
lights
spike
trains
at
certain
rate
according
to
input
wavelengths.
Such
have
an
ultralow
power
consumption
of
less
than
400
picowatts
per
visible
light,
is
very
close
biological
cones.
In
this
work,
three
wavelengths
were
exploited
as
pseudo-three-primary
colors
form
'colorful'
images
for
recognition
tasks,
ability
discriminate
mixed
shows
better
accuracy.
Our
results
would
enable
hardware
neural
networks
biologically
plausible
visual
perception
provide
great
potential
development
dynamic
vision
sensors.
Chemical Society Reviews,
Год журнала:
2024,
Номер
53(3), С. 1316 - 1353
Опубликована: Янв. 1, 2024
Low-dimensional
nanostructures,
with
their
small
size,
unique
characteristics,
flexible/elastic
adaptability,
and
effective
vertical
stacking
capability,
play
a
crucial
role
in
advancing
monolithic
3D-integrated
flexible/stretchable
systems.
Advanced Materials,
Год журнала:
2023,
Номер
35(37)
Опубликована: Янв. 7, 2023
Abstract
Artificial
neuronal
devices
are
critical
building
blocks
of
neuromorphic
computing
systems
and
currently
the
subject
intense
research
motivated
by
application
needs
from
new
technology
more
realistic
brain
emulation.
Researchers
have
proposed
a
range
device
concepts
that
can
mimic
dynamics
functions.
Although
switching
physics
structures
these
artificial
neurons
largely
different,
their
behaviors
be
described
several
neuron
models
in
unified
manner.
In
this
paper,
reports
based
on
emerging
volatile
materials
reviewed
perspective
demonstrated
models,
with
focus
functions
implemented
exploitation
for
computational
sensing
applications.
Furthermore,
neuroscience
inspirations
engineering
methods
to
enrich
remain
networks
toward
realizing
full
functionalities
biological
discussed.
International Journal of Extreme Manufacturing,
Год журнала:
2023,
Номер
5(4), С. 042010 - 042010
Опубликована: Авг. 11, 2023
Abstract
Neuromorphic
computing
is
a
brain-inspired
paradigm
that
aims
to
construct
efficient,
low-power,
and
adaptive
systems
by
emulating
the
information
processing
mechanisms
of
biological
neural
systems.
At
core
neuromorphic
are
devices
mimic
functions
dynamics
neurons
synapses,
enabling
hardware
implementation
artificial
networks.
Various
types
have
been
proposed
based
on
different
physical
such
as
resistive
switching
electric-double-layer
transistors.
These
demonstrated
range
multistate
storage,
spike-timing-dependent
plasticity,
dynamic
filtering,
etc.
To
achieve
high
performance
systems,
it
essential
fabricate
compatible
with
complementary
metal
oxide
semiconductor
(CMOS)
manufacturing
process.
This
improves
device’s
reliability
stability
favorable
for
achieving
chips
higher
integration
density
low
power
consumption.
review
summarizes
CMOS-compatible
discusses
their
emulation
synaptic
neuronal
well
applications
in
perception
computing.
We
highlight
challenges
opportunities
further
development
Advanced Functional Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 5, 2024
Abstract
The
advent
of
big
data
and
the
Internet
Things
has
created
urgent
demands
for
in‐sensor
computing
hardware
with
multimodal
perception
that
can
effectively
resolve
inefficiency,
high
latency,
excessive
energy
consumption
challenges
faced
by
conventional
sensory
systems.
Here,
a
simple‐structured
optoelectronic
synaptic
device
In
2
O
3
·SnO
/Nb:SrTiO
(ITO/NSTO)
heterostructure
is
proposed,
which
vividly
demonstrates
capabilities.
First,
ingenious
responses
under
both
optical
electrical
stimuli,
neuromorphic
system
capable
concurrently
perceiving
processing
visual
auditory
information
constructed.
Using
this
to
perform
human
emotion
recognition
task,
misjudgment
arising
from
single‐modal
cognition
thereby
be
avoided.
Second,
utilizing
integrated
sensing
functions,
along
dynamic
memories
array,
vision
implemented
real‐time
monitoring
moving
vehicles,
displays
efficiency
accuracy.
This
research
not
only
provides
an
low‐cost
easy
mass‐produce,
but
also
paves
way
next‐generation
efficiently
process
signals.
Nano-Micro Letters,
Год журнала:
2024,
Номер
16(1)
Опубликована: Фев. 1, 2024
The
crossmodal
interaction
of
different
senses,
which
is
an
important
basis
for
learning
and
memory
in
the
human
brain,
highly
desired
to
be
mimicked
at
device
level
developing
neuromorphic
perception,
but
related
researches
are
scarce.
Here,
we
demonstrate
optoelectronic
synapse
vision-olfactory
perception
based
on
MXene/violet
phosphorus
(VP)
van
der
Waals
heterojunctions.
Benefiting
from
efficient
separation
transport
photogenerated
carriers
facilitated
by
conductive
MXene,
photoelectric
responsivity
VP
dramatically
enhanced
7
orders
magnitude,
reaching
up
7.7
A
W
Chemical Reviews,
Год журнала:
2024,
Номер
124(17), С. 9899 - 9948
Опубликована: Авг. 28, 2024
Electronic
skins
(e-skins)
have
seen
intense
research
and
rapid
development
in
the
past
two
decades.
To
mimic
capabilities
of
human
skin,
a
multitude
flexible/stretchable
sensors
that
detect
physiological
environmental
signals
been
designed
integrated
into
functional
systems.
Recently,
researchers
increasingly
deployed
machine
learning
other
artificial
intelligence
(AI)
technologies
to
neural
system
for
processing
analysis
sensory
data
collected
by
e-skins.
Integrating
AI
has
potential
enable
advanced
applications
robotics,
healthcare,
human–machine
interfaces
but
also
presents
challenges
such
as
diversity
model
robustness.
In
this
review,
we
first
summarize
functions
features
e-skins,
followed
feature
extraction
different
models.
Next,
discuss
utilization
design
e-skin
address
key
topic
implementation
e-skins
accomplish
range
tasks.
Subsequently,
explore
hardware-layer
in-skin
before
concluding
with
an
opportunities
various
aspects
AI-enabled
