Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(33)
Published: June 15, 2024
Biomimetic
humidity
sensors
offer
a
low-power
approach
for
respiratory
monitoring
in
early
lung-disease
diagnosis.
However,
balancing
miniaturization
and
energy
efficiency
remains
challenging.
This
study
addresses
this
issue
by
introducing
bioinspired
humidity-sensing
neuron
comprising
self-assembled
peptide
nanowire
(NW)
memristor
with
unique
proton-coupled
ion
transport.
The
proposed
shows
low
Ag
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: Dec. 2, 2022
Neuromorphic
computing
memristors
are
attractive
to
construct
low-power-
consumption
electronic
textiles
due
the
intrinsic
interwoven
architecture
and
promising
applications
in
wearable
electronics.
Developing
reconfigurable
fiber-based
is
an
efficient
method
realize
that
capable
of
neuromorphic
function.
However,
previously
reported
artificial
synapse
neuron
need
different
materials
configurations,
making
it
difficult
multiple
functions
a
single
device.
Herein,
textile
memristor
network
Ag/MoS
ACS Nano,
Journal Year:
2023,
Volume and Issue:
17(13), P. 11994 - 12039
Published: June 29, 2023
Memristive
technology
has
been
rapidly
emerging
as
a
potential
alternative
to
traditional
CMOS
technology,
which
is
facing
fundamental
limitations
in
its
development.
Since
oxide-based
resistive
switches
were
demonstrated
memristors
2008,
memristive
devices
have
garnered
significant
attention
due
their
biomimetic
memory
properties,
promise
significantly
improve
power
consumption
computing
applications.
Here,
we
provide
comprehensive
overview
of
recent
advances
including
devices,
theory,
algorithms,
architectures,
and
systems.
In
addition,
discuss
research
directions
for
various
applications
hardware
accelerators
artificial
intelligence,
in-sensor
computing,
probabilistic
computing.
Finally,
forward-looking
perspective
on
the
future
outlining
challenges
opportunities
further
innovation
this
field.
By
providing
an
up-to-date
state-of-the-art
review
aims
inform
inspire
Advanced Materials,
Journal Year:
2023,
Volume and Issue:
35(37)
Published: May 18, 2023
Artificial
neurons
and
synapses
are
considered
essential
for
the
progress
of
future
brain-inspired
computing,
based
on
beyond
von
Neumann
architectures.
Here,
a
discussion
common
electrochemical
fundamentals
biological
artificial
cells
is
provided,
focusing
their
similarities
with
redox-based
memristive
devices.
The
driving
forces
behind
functionalities
ways
to
control
them
by
an
electrochemical-materials
approach
presented.
Factors
such
as
chemical
symmetry
electrodes,
doping
solid
electrolyte,
concentration
gradients,
excess
surface
energy
discussed
understand,
predict,
design
synapses.
A
variety
two-
three-terminal
devices
architectures
presented
application
solving
various
problems
shown.
work
provides
overview
current
understandings
complex
processes
neural
signal
generation
transmission
in
both
presents
state-of-the-art
applications,
including
between
cells.
This
example
showcasing
possibility
creating
bioelectronic
interfaces
integrating
circuits
systems.
Prospectives
challenges
modern
technology
toward
low-power,
high-information-density
highlighted.
iScience,
Journal Year:
2023,
Volume and Issue:
26(4), P. 106315 - 106315
Published: March 2, 2023
Neuromorphic
computing
is
a
promising
paradigm
toward
building
next-generation
artificial
intelligence
machines,
in
which
diverse
types
of
synaptic
plasticity
play
an
active
role
information
processing.
Compared
to
long-term
(LTP)
forming
the
foundation
learning
and
memory,
short-term
(STP)
essential
for
critical
computational
functions.
So
far,
practical
applications
LTP
have
been
widely
investigated,
whereas
implementation
STP
hardware
still
elusive.
Here,
we
review
development
by
bridging
physics
emerging
devices
biological
behaviors.
We
explore
functions
various
biology
their
recent
progress.
Finally,
discuss
main
challenges
introducing
into
offer
potential
approaches
utilize
enrich
systems'
capabilities.
This
expected
provide
prospective
ideas
implementing
may
promote
construction
high-level
neuromorphic
machines.
Advanced Materials,
Journal Year:
2023,
Volume and Issue:
35(39)
Published: March 9, 2023
Living
organisms
have
a
very
mysterious
and
powerful
sensory
computing
system
based
on
ion
activity.
Interestingly,
studies
iontronic
devices
in
the
past
few
years
proposed
promising
platform
for
simulating
sensing
functions
of
living
organisms,
because:
1)
can
generate,
store,
transmit
variety
signals
by
adjusting
concentration
spatiotemporal
distribution
ions,
which
analogs
to
how
brain
performs
intelligent
alternating
flux
polarization;
2)
through
ionic-electronic
coupling,
bridge
biosystem
with
electronics
offer
profound
implications
soft
electronics;
3)
diversity
be
designed
recognize
specific
ions
or
molecules
customizing
charge
selectivity,
ionic
conductivity
capacitance
adjusted
respond
external
stimuli
schemes,
more
difficult
electron-based
devices.
This
review
provides
comprehensive
overview
emerging
neuromorphic
devices,
highlighting
representative
concepts
both
low-level
high-level
introducing
important
material
device
breakthroughs.
Moreover,
as
means
are
discussed
regarding
pending
challenges
future
directions.
