Resistive
switching
(RS)
memories
are
novel
devices
that
have
attracted
significant
attention
recently
in
view
of
their
potential
integration
deep
neural
networks
for
intense
big
data
processing
within
the
explosive
artificial
intelligence
era.
While
oxide-
or
silicon-based
memristive
been
thoroughly
studied
and
analyzed,
there
alternative
material
technologies
compatible
with
lower
manufacturing
cost
less
environmental
impact
exhibiting
RS
characteristics,
thus
providing
a
versatile
platform
specific
in-memory
computing
neuromorphic
applications
where
sustainability
is
priority.
The
these
emerging
based
on
solution-processed
methods
at
low
temperatures
onto
flexible
substrates,
some
cases,
active
layer
composed
natural,
environmentally
friendly
materials
replacing
expensive
deposition
critical
raw
toxic
materials.
In
this
Perspective,
we
provide
an
overview
recent
developments
field
sustainable
by
insights
into
fundamental
properties
mechanisms,
categorizing
key
figures
merit
while
showcasing
representative
use
cases
each
technology.
challenges
limitations
practical
analyzed
along
suggestions
to
resolve
pending
issues.
Advanced Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 19, 2025
Abstract
Flexible
neuromorphic
architectures
that
emulate
biological
cognitive
systems
hold
great
promise
for
smart
wearable
electronics.
To
realize
neuro‐inspired
sensing
and
computing
electronics,
artificial
sensory
neurons
detect
process
external
stimuli
must
be
integrated
with
central
nervous
capable
of
parallel
computation.
In
near‐sensor
computing,
synaptic
devices,
sensors
are
used
to
receptors,
respectively.
contrast,
in
in‐sensor
a
single
multifunctional
device
serves
as
both
the
receptor
neuron.
Bio‐inspired
efficiently
through
data
structuring
techniques,
significantly
reducing
volume
enabling
extension
applications
systems.
construct
near‐
it
is
crucial
develop
synapses
replicate
functionalities.
Additionally,
exhibit
high
mechanical
flexibility
integration
density.
This
review
addresses
research
on
flexible
bio‐inspired
systems,
classified
into
computing.
It
covers
fundamental
aspects,
including
processes,
required
components,
structures
each
component,
well
Finally,
offers
perspectives
future
directions
electronics
connected
next‐generation
Internet
Things.
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.
With
the
continuous
advancement
of
wearable
technology
and
advanced
medical
monitoring,
there
is
an
increasing
demand
for
electronic
devices
that
can
adapt
to
complex
environments
have
high
perceptual
sensitivity.
Here,
a
novel
artificial
injury
perception
device
based
on
Ag/HfO
Journal of Materials Chemistry B,
Год журнала:
2024,
Номер
12(25), С. 6102 - 6116
Опубликована: Янв. 1, 2024
Physical
eutectogels
as
a
newly
emerging
type
of
conductive
gel
have
gained
extensive
interest
for
the
next
generation
multifunctional
electronic
devices.
Nevertheless,
some
obstacles,
including
weak
mechanical
performance,
low
self-adhesive
strength,
lack
self-healing
capacity,
and
conductivity,
hinder
their
practical
use
in
wearable
strain
sensors.
Herein,
lignin
green
filler
hydrogen
bond
donor
was
directly
dissolved
deep
eutectic
solvent
(DES)
composed
acrylic
acid
(AA)
choline
chloride,
lignin-reinforced
physical
(DESL)
were
obtained
by
polymerization
AA.
Due
to
unique
features
DES,
prepared
DESL
exhibit
good
transparency,
UV
shielding
excellent
outstanding
self-adhesiveness,
superior
properties,
high
conductivity.
Based
on
aforementioned
integrated
functions,
sensor
displaying
wide
working
range
(0-1500%),
sensitivity
(GF
=
18.15),
rapid
responsiveness,
stability
durability
(1000
cycles)
capable
detecting
diverse
human
motions
fabricated.
Additionally,
combining
sensors
with
learning
technique,
gesture
recognition
system
accuracy
98.8%
achieved.
Overall,
this
work
provides
an
innovative
idea
constructing
multifunction-integrated
application
electronics.
Abstract
The
porphyrin‐based
hydrogen‐bonded
organic
framework
(HOF)
offers
a
superior
platform
for
decoding
electrochemiluminescence
(ECL)
via
controlling
charge
transfer
due
to
its
higher
solubility,
chemical
stability,
and
tunable
behavior.
In
this
research,
three
kinds
of
HOFs
including
TDPP‐HOF,
TCPP‐HOF,
TCNPP‐HOF
are
synthesized
based
on
porphyrin
tectonic
plate
decorated
with
2,4‐diaminotriazinyl
(DAT),
carboxyl,
nitrile
moieties
study
their
ECL
performances.
hydrazine
as
the
coreactant
can
trigger
TDPP‐HOF
at
low‐excited
positive
potential
generate
15.8‐
112.9‐fold
enhancement
in
signal
than
TCPP‐HOF.
Experimental
results
density
functional
theory
calculations
verify
that
lower
bandgap
larger
binding
energy
(ΔE)
between
HOF
is
beneficial
intrareticular
(ICT),
facilitating
performance.
These
indicate
peripheral
substituents
establish
specialized
outer‐sphere
microenvironment
around
center
tune
both
activity
As
proof
concept,
simple
TDPP‐HOF‐based
sensor
constructed
sensitively
detect
phenolic
compounds.
This
research
provides
new
avenue
improving
performance
modulating
HOFs.
