A Self-Formed Ag Nanostructure Based Neuromorphic Device Performing Arithmetic Computation and Area Integration: Influence of Presynaptic Pulsing Scheme on Mathematical Precision
ACS Applied Materials & Interfaces,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 8, 2025
A
material
equivalent
of
a
biosynapse
is
the
key
to
neuromorphic
architecture.
Here
we
report
self-forming
labyrinthine
Ag
nanostructure
activated
with
few
pulses
0.5
V,
width
and
interval
set
at
50
ms,
current
compliance
(ICC)
400
nA,
serving
as
active
for
highly
stable
device
programmable
volatility.
Both
conductance
(G)
its
retention
time
(tr)
in
potentiated
state
are
found
vary
linearly
pulse
number
positive
negative
polarities,
nonlinearity
factors
being
noticeably
small,
∼0.03
G
during
potentiation
∼0.08
depression.
This
was
tested
over
200
days,
results
were
reproducible.
Relying
on
high
linearity,
arithmetic
operations
involving
counting
integers
realized
using
both
often
by
mixing
them
feeding
sequence.
The
observed
outcomes
based
independently
from
tr
accurate,
deviations
typically
less
than
∼1.5%
expected
results.
Notably,
way
polarities
mixed
have
an
influence,
random
sequences
producing
relatively
larger
integer
estimation.
However,
decreased
higher
ICC
values,
which
promoted
stronger
filament
formation
percolation
networks.
Besides,
values
amplitude
well,
enabled
calculation
area
under
curve.
Further,
exhibited
simulation-based
image
classification
accuracy
94.95%,
close
ideal
value
(96.05%).
Simulations
utilizing
finite
element
method
showcased
uniqueness
morphology,
giving
rise
field
intensification
along
potential
percolative
paths.
Язык: Английский
Overview of emerging electronics technologies for artificial intelligence: A review
Materials Today Electronics,
Год журнала:
2025,
Номер
unknown, С. 100136 - 100136
Опубликована: Янв. 1, 2025
Язык: Английский
Flash Memory for Synaptic Plasticity in Neuromorphic Computing: A Review
Biomimetics,
Год журнала:
2025,
Номер
10(2), С. 121 - 121
Опубликована: Фев. 18, 2025
The
rapid
expansion
of
data
has
made
global
access
easier,
but
it
also
demands
increasing
amounts
energy
for
storage
and
processing.
In
response,
neuromorphic
electronics,
inspired
by
the
functionality
biological
neurons
synapses,
have
emerged
as
a
growing
area
research.
These
devices
enable
in-memory
computing,
helping
to
overcome
"von
Neumann
bottleneck",
limitation
caused
separation
memory
processing
units
in
traditional
von
architecture.
By
leveraging
multi-bit
non-volatility,
biologically
features,
Ohm's
law,
synaptic
show
great
potential
reducing
consumption
multiplication
accumulation
operations.
Within
various
non-volatile
technologies
available,
flash
stands
out
highly
competitive
option
storing
large
volumes
data.
This
review
highlights
recent
advancements
computing
that
utilize
NOR,
AND,
NAND
memory.
delves
into
array
architecture,
operational
methods,
electrical
properties
memory,
emphasizing
its
application
different
neural
network
designs.
providing
detailed
overview
memory-based
this
offers
valuable
insights
optimizing
use
across
diverse
applications.
Язык: Английский
Microstructure-modulated conductive filaments in Ruddlesden-Popper perovskite-based memristors and their application in artificial synapses
Materials Today Physics,
Год журнала:
2025,
Номер
unknown, С. 101708 - 101708
Опубликована: Март 1, 2025
Язык: Английский
Smart Dust for Chemical Mapping
Advanced Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 25, 2025
This
review
article
explores
the
transformative
potential
of
smart
dust
systems
by
examining
how
existing
chemical
sensing
technologies
can
be
adapted
and
advanced
to
realize
their
full
capabilities.
Smart
dust,
characterized
submillimeter-scale
autonomous
platforms,
offers
unparalleled
opportunities
for
real-time,
spatiotemporal
mapping
across
diverse
environments.
introduces
technological
advancements
underpinning
these
systems,
critically
evaluates
current
limitations,
outlines
new
avenues
development.
Key
challenges,
including
multi-compound
detection,
system
control,
environmental
impact,
cost,
are
discussed
alongside
solutions.
By
leveraging
innovations
in
miniaturization,
wireless
communication,
AI-driven
data
analysis,
sustainable
materials,
this
highlights
promise
address
critical
challenges
monitoring,
healthcare,
agriculture,
defense
sectors.
Through
lens,
provides
a
strategic
roadmap
advancing
from
concept
practical
application,
emphasizing
its
role
transforming
understanding
management
complex
systems.
Язык: Английский