Soft Memristor at a Microbubble Interface
Yueke Niu,
No information about this author
Yu Ma,
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Yanbo Xie
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et al.
Nano Letters,
Journal Year:
2024,
Volume and Issue:
24(34), P. 10475 - 10481
Published: Aug. 8, 2024
Memristors
show
promising
features
for
neuromorphic
computing.
Here
we
report
a
soft
memristor
based
on
the
liquid–vapor
surface
of
microbubble.
The
thickness
liquid
film
was
modulated
by
electrostatic
and
interfacial
forces,
enabling
resistance
switches.
We
found
pinched
current
hysteresis
at
scanning
periods
between
1.6
51.2
s,
while
representing
resistor
below
s
diode-like
behavior
above
s.
approximate
thickening/thinning
dynamics
pressure-driven
flow
interface
derived
impacts
salt
concentration
voltage
amplitude
memory
effects.
Our
work
opens
new
approach
to
building
nanofluidic
memristors
interface,
which
may
be
useful
types
computing
in
future.
Language: Английский
Unlocking Nanoprecipitation: A Pathway to High Reversibility in Nanofluidic Memristors
ACS Applied Materials & Interfaces,
Journal Year:
2024,
Volume and Issue:
16(43), P. 58818 - 58826
Published: Oct. 18, 2024
Solid-state
nanochannels
have
emerged
as
a
promising
platform
for
the
development
of
ionic
circuit
components
with
analog
properties
to
their
traditional
electronic
counterparts.
In
last
years,
nanofluidic
devices
memristive
attracted
special
interest
due
applicability
in,
example,
construction
brain-like
computing
systems.
this
work,
an
asymmetric
track-etched
channel
memory-enhanced
ion
transport
is
reported.
The
results
illustrate
that
formation
nanoprecipitates
on
walls
induces
memory
effects
in
transport,
leading
characteristic
hysteresis
loops
current–voltage
curves,
hallmark
behavior.
Notably,
these
are
achievable
straightforward
experimental
setup
combines
aqueous
solvent
and
relatively
low-soluble
inorganic
salt.
various
conductance
states
can
be
rapidly
reversibly
tuned
over
prolonged
time
scales.
Furthermore,
under
appropriate
measurement
conditions,
device
alternate
between
different
iontronic
regimes
states,
encompassing
current
rectification,
ON–OFF
memristor-like
These
findings
provide
insights
into
design
optimization
bioinspired
components.
Language: Английский
Low-Cost and Stable Aramid Nanofiber Membranes for Osmotic Energy Conversion
Yinghui Wang,
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Mengyuan Peng,
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Rujian Sun
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et al.
ACS Applied Materials & Interfaces,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 19, 2025
Osmotic
energy
from
mixing
seawater
and
river
water
offers
a
promising
alternative
to
traditional
nonrenewable
resources.
Harvesting
osmotic
requires
the
design
of
ultrathin
membranes
with
high
ion
selectivity
for
ionic
conductance.
However,
lab-scale
suffer
high-cost,
low
mechanical
properties,
limited
membrane
area.
Here,
we
demonstrate
fabrication
large-scale
self-standing
aramid
nanofiber
(ANF)
thickness
several
micrometers
through
simple
blade-coating
method.
The
properties
fabricated
ANF
were
investigated
in
detail,
which
showed
great
chemical
stability,
surface
charge
density.
application
conversion
was
further
explored,
intact
structure
gave
an
output
power
density
0.83
W
m–2
50-fold
NaCl.
Moreover,
can
reach
up
7.63
when
concentration
gradient
increased
500-fold.
generator
maintained
capacity
15
days.
This
scalable
low-cost
provides
opportunity
harvest
practical
plants.
Language: Английский
Resistance-Restorable Nanofluidic Memristor and Neuromorphic Chip
Ke Liu,
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Yong Wang,
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Miao Sun
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et al.
Nano Letters,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 12, 2025
Resistance
drift
due
to
residual
ions
limits
the
accuracy
of
memristor-based
neuromorphic
computing.
Here,
we
demonstrate
nanofluidic
memristors
based
on
voltage-driven
ion
filling
within
Ångström
channels,
immersed
in
asymmetrically
concentrated
electrolyte
solutions.
Inspired
by
brain's
waste
clearance,
restore
conductance
after
20,000
cycles
removing
trapped
ions,
paving
way
for
endurance
enhancement.
The
devices
exhibit
hour-long
retention
and
ultralow
energy
consumption
(∼0.2
fJ
per
spike
channel).
By
tuning
voltage,
frequency,
pH,
emulate
short-term
synaptic
plasticity.
Finally,
demonstrated
first
4
×
memristor
array
capable
recognizing
mathematical
operators.
Our
work
that
fluidic
are
promising
energy-efficient,
long-retention,
chips.
Language: Английский
Reconfigurable neuromorphic computing by a microdroplet
Yu Ma,
No information about this author
Yueke Niu,
No information about this author
Ruochen Pei
No information about this author
et al.
Cell Reports Physical Science,
Journal Year:
2024,
Volume and Issue:
5(9), P. 102202 - 102202
Published: Sept. 1, 2024
Language: Английский
Reversible logic with a nanofluidic memristor
Physical review. E,
Journal Year:
2024,
Volume and Issue:
110(6)
Published: Dec. 2, 2024
A
multipore
membrane
with
current-rectifying
nanofluidic
diodes
exhibits
memristive
properties
based
on
the
surface-charge-regulated
ionic
transport.
The
neuromorphiclike
potentiation
of
conductance
by
voltage
pulses
provides
different
functionalities
that
can
be
modulated
not
only
amplitude
and
frequency
driving
oscillatory
signal
but
also
concentration
pH
values
external
solutions.
This
fact
allows
one
to
implement
a
broad
range
logical
functions
reconfiguration
diodes.
As
proof
concept,
we
show
Boolean
(and,
nand,
xor)
reversible
(feynman)
obtained
controlling
chemical
(pH
concentration)
electrical
(voltage
current)
signals
in
an
electrochemical
cell.
system
displays
some
reminiscences
channel
biophysics
signaling
cell
membranes
suitable
environment
for
sensing
information
processing
iontronics
hybrid
devices.
Model
simulations
explain
experimental
data
explore
future
applications
are
included.
Language: Английский