Advanced Electronic Materials,
Journal Year:
2022,
Volume and Issue:
8(9)
Published: March 16, 2022
Abstract
Inorganic
perovskite‐based
memory
devices
have
attracted
tremendous
attention
due
to
their
higher
level
of
stability,
more
feasible
synthesis
conditions
and
better
performance,
as
compared
organic–inorganic
hybrid
devices.
However,
film
morphology
is
an
essential
issue
for
the
performance
these
Here,
all‐inorganic
halide
perovskite
cesium
lead
bromide
(CsPbBr
3
)
films
are
successfully
fabricated
via
a
unique
solution
processable
deposition
method
at
ambient
conditions.
These
possess
satisfactory
surface
with
high
crystallinity.
utilized
reproducible
resistive
switching
layers
in
gold/CsPbBr
/indium
tin
oxide/Glass
applications.
A
series
(i.e.,
CsPbBr
varied
thicknesses
range
200–500
nm
precisely
tailored.
The
responses
retention
properties
based‐memory
exhibit
long‐term
(exceeding
10000
s),
on/off
ratio
(up
10000),
low
power
consumption
(set
voltage
0.25V),
good
reproducibility.
model
formation
filaments
layer
proposed
describe
mechanism.
Furthermore,
excellent
transient
behavior,
which
beneficial
security
data
storage.
characteristics
reveal
that
based
memristor
promising
be
next‐generation
smart
device.
Small,
Journal Year:
2022,
Volume and Issue:
18(36)
Published: April 9, 2022
Abstract
Nanoparticles
(NPs)
have
attracted
tremendous
interest
in
drug
delivery
the
past
decades.
Microfluidics
offers
a
promising
strategy
for
making
NPs
due
to
its
capability
precisely
controlling
NP
properties.
The
recent
success
of
mRNA
vaccines
using
microfluidics
represents
big
milestone
microfluidic
pharmaceutical
applications,
and
rapid
scaling
up
demonstrates
feasibility
industrial‐scale
manufacturing.
This
article
provides
critical
review
progress
delivery.
First,
synthesis
organic
focusing
on
typical
methods
their
applications
popular
clinically
relevant
NPs,
such
as
liposomes,
lipid
polymer
well
mechanisms
are
summarized.
Then,
several
representative
inorganic
(e.g.,
silica,
metal,
metal
oxide,
quantum
dots),
hybrid
is
discussed.
Lastly,
various
presented.
Small,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 5, 2025
An
adjustable
and
scalable
method
for
the
continuous
flow
synthesis
of
cupric
oxide
nanoparticles
(CuO
NPs),
targetted
reduction
their
activity
to
synthetic
biomembranes
inform
fabrication
(NPs)
with
reduced
toxicity
commercial
applications.
By
manipulating
key
factors;
temperature,
residence
time,
ratio
precursor
reductant,
precise
control
over
morphology
CuO
NPs
is
achieved
X-ray
diffraction
(XRD)
transmission
electron
microscopy
(TEM)
confirming
formation
needle-shaped
NPs.
One-variable-at-a-time
studies
reveal
a
relationship
between
conditions
characteristics
resultant
NPs,
varying
controllably
10-50
nanometres
in
length
4-10
width.
Subsequently,
Design
Experiment
(DoE)
exploration
biomembrane
intriguingly
revealed
only
minimal
effects
on
membrane-disruptive
properties
chemical
space
defined
by
explored.
This
study
marks
significant
milestone,
as
it
introduces
facile,
easy
scale,
width
needle
reveals
that,
regardless
exact
shape,
have
impact
biomembranes,
prompting
more
detailed
future
use
biomedical
NPG Asia Materials,
Journal Year:
2022,
Volume and Issue:
14(1)
Published: Aug. 12, 2022
Abstract
Nanoparticles
play
irreplaceable
roles
in
optoelectronic
sensing,
medical
therapy,
material
science,
and
chemistry
due
to
their
unique
properties.
There
are
many
synthetic
pathways
used
for
the
preparation
of
nanoparticles,
different
can
produce
nanoparticles
with
Therefore,
it
is
crucial
control
properties
precisely
impart
desired
functions.
In
general,
influenced
by
sizes
morphologies.
Current
technology
on
microfluidic
chips
requires
repeated
experimental
debugging
significant
resources
synthesize
Machine
learning-assisted
synthesis
a
sensible
choice
addressing
this
challenge.
paper,
we
review
recent
studies
syntheses
assisted
machine
learning.
Moreover,
describe
working
steps
learning,
main
algorithms,
ways
obtain
datasets.
Finally,
discuss
current
problems
research
provide
an
outlook.
Nanoscale,
Journal Year:
2022,
Volume and Issue:
14(18), P. 6688 - 6708
Published: Jan. 1, 2022
The
synthesis
of
nanoparticles
is
affected
by
many
reaction
conditions,
and
their
properties
are
usually
determined
factors
such
as
size,
shape
surface
chemistry.
In
order
for
the
synthesized
to
have
functions
suitable
different
fields
(for
example,
optics,
electronics,
sensor
applications
so
on),
precise
control
essential.
However,
with
current
technology
preparing
on
a
microreactor,
it
time-consuming
laborious
achieve
synthesis.
improve
efficiency
synthesizing
expected
functionality,
application
machine
learning-assisted
an
intelligent
choice.
this
article,
we
mainly
introduce
typical
methods
microreactors,
explain
principles
procedures
learning,
well
main
ways
obtaining
data
sets.
We
studied
three
types
representative
nanoparticle
preparation
assisted
learning.
Finally,
problems
in
future
development
prospects
discussed.
Nanoscale Advances,
Journal Year:
2024,
Volume and Issue:
7(1), P. 42 - 59
Published: Nov. 22, 2024
The
study
on
the
synthesis
of
carbon
dots,
sensing
mechanisms,
conditions
associated
with
glucose
imbalance,
and
potential
applications
as
promising
materials
for
sensors.
Smart Medicine,
Journal Year:
2023,
Volume and Issue:
2(1)
Published: Feb. 1, 2023
Abstract
Optical
biosensors
are
platforms
that
translate
biological
information
into
detectable
optical
signals,
and
have
extensive
applications
in
various
fields
due
to
their
characteristics
of
high
sensitivity,
specificity,
dynamic
sensing,
etc.
The
development
sensing
materials
is
an
important
part
sensors.
In
this
review,
we
emphasize
the
role
microfluidic
technology
preparation
application
derived
sensors
biomedical
field.
We
first
present
some
common
mechanisms
functional
responsive
involved.
Then,
describe
these
by
microfluidics.
Afterward,
enumerate
as
disease
diagnosis,
drug
evaluation,
organ‐on‐a‐chip.
Finally,
discuss
challenges
prospects
