ACS Applied Electronic Materials,
Journal Year:
2024,
Volume and Issue:
7(1), P. 193 - 201
Published: Dec. 20, 2024
To
address
the
challenges
faced
by
a
traditional
computing
system
with
von
Neumann
architecture,
various
artificial
synapses
and
neurons
have
been
developed.
In
this
work,
two-terminal
device
was
developed
using
an
organic
p-type
semiconductor
copper
phthalocyanine
(CuPc)
molecular
ferroelectric
diisopropylammonium
bromide
(DIPAB).
The
incorporation
of
layer
DIPAB
not
only
introduces
energy
barrier
for
migration
photogenerated
carriers
to
enhance
device's
synaptic
performance
but
also
enables
modulation
response
light
pulses
changing
polarization
state
DIPAB.
successfully
mimics
biological
functions
including
paired-pulse
facilitation
(PFF),
spike-rate-dependent
plasticity
(SRDP),
spike-number-dependent
(SNDP).
is
employed
recognize
MNIST
handwritten
digits,
achieving
recognition
rate
over
75%
digits
even
50%
noise
interference.
These
results
suggest
potential
neuromorphic
computing.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 17, 2024
Abstract
Optical
synapses
offer
a
promising
solution
to
the
high
energy
consumption
of
von
Neumann
architectures.
Despite
significant
research,
existing
photoconductivity
modulation
methods
are
typically
unidirectional,
and
inhibitory
behavior
still
depends
on
electrical
stimulation.
To
address
this,
two‐terminal
planar
fully
optically
modulated
synapse
device
based
ZnAlSnO/SnS
heterostructure,
demonstrating
bidirectional
optical
response
is
presented.
This
exhibits
an
excitatory
postsynaptic
current
(EPSC)
when
exposed
370
nm
UV
light
generates
(IPSC)
under
630
red
light.
Continuous
potentiation
depression
stimuli
reveals
stability
artificial
synapses.
Leveraging
its
conductance,
three‐layer
neural
network
implemented
for
handwritten
digit
clothing
recognition,
achieving
accuracies
91.12%
78.22%,
respectively.
Additionally,
unique
pulse,
development
process
Polaroid
camera
well
simulated.
work
not
only
enriches
content
synapses,
but
also
contributes
advancements
in
intelligence,
brain‐like
computing,
image‐processing
technologies.
ACS Applied Electronic Materials,
Journal Year:
2024,
Volume and Issue:
7(1), P. 193 - 201
Published: Dec. 20, 2024
To
address
the
challenges
faced
by
a
traditional
computing
system
with
von
Neumann
architecture,
various
artificial
synapses
and
neurons
have
been
developed.
In
this
work,
two-terminal
device
was
developed
using
an
organic
p-type
semiconductor
copper
phthalocyanine
(CuPc)
molecular
ferroelectric
diisopropylammonium
bromide
(DIPAB).
The
incorporation
of
layer
DIPAB
not
only
introduces
energy
barrier
for
migration
photogenerated
carriers
to
enhance
device's
synaptic
performance
but
also
enables
modulation
response
light
pulses
changing
polarization
state
DIPAB.
successfully
mimics
biological
functions
including
paired-pulse
facilitation
(PFF),
spike-rate-dependent
plasticity
(SRDP),
spike-number-dependent
(SNDP).
is
employed
recognize
MNIST
handwritten
digits,
achieving
recognition
rate
over
75%
digits
even
50%
noise
interference.
These
results
suggest
potential
neuromorphic
computing.
