Machine
learning
(ML),
as
an
advanced
data
analysis
tool,
simulates
the
process
of
human
brain,
enabling
extraction
features,
discovery
patterns,
and
making
accurate
predictions
or
decisions
from
complex
data.
In
field
nanomaterial
design,
application
ML
technology
not
only
accelerates
performance
optimization
nanomaterials
but
also
promotes
innovation
materials
science
research
methods.
Bibliometrics,
a
method
based
on
quantitative
analysis,
provides
us
with
macro
perspective
to
observe
understand
in
design
by
statistically
analyzing
various
indicators
scientific
literature.
This
paper
quantitatively
analyzes
literature
related
ML-driven
seven
dimensions,
revealing
importance
necessity
design.
It
systematically
diversified
applications
combination
suitable
algorithms
being
key
enhancing
nanomaterials.
addition,
this
discusses
current
challenges
future
development
directions,
including
quality
set
construction,
algorithm
optimization,
deepening
interdisciplinary
cooperation.
review
researchers
state
trends
ideas
suggestions
for
research.
is
significant
value
promoting
progress
fostering
in-depth
research,
accelerating
innovative
material
technologies.
Journal of Cluster Science,
Journal Year:
2024,
Volume and Issue:
36(1)
Published: Nov. 28, 2024
Abstract
Due
to
waste,
pollution,
and
unequal
distribution
of
the
world’s
finite
freshwater
resources,
there
is
currently
a
problem
water
scarcity.
Therefore,
developing
novel,
affordable,
efficient
techniques
for
purification
essential.
Here,
photo-assisted
degradation
Methyl
Orange
dye
(MO)
under
visible
light
UV
was
achieved
by
using
reduced
graphene
oxide
(RGO)
photocatalyst
loaded
with
Zn
0.5
Cu
Fe
2
O
4
(ZCF)
called
MRGO
20.
Furthermore,
all
prepared
samples
were
characterized
X-ray
diffraction
(XRD),
fourier
transformation
infrared
(FTIR),
transmission
electron
microscope
(TEM),
vibrating
sample
magnetometer
(VSM)
Raman
analysis.
After
40
minutes,
high
photocatalytic
efficacy
effectively
eliminated
about
96
%
10
ppm
MO
20
mg
NPs
at
pH
5
Visible
irradiation.
From
results,
demonstrated
good
performance
stability
after
five
cycles
dye.
The
shown
generated
in
both
may
motivate
further
investigation
into
more
potent
photocatalysts
filtering.
nanocomposite
displayed
great
activity
against
Gram-negative
(
E.
coli
)
bacteria
zone
inhibition
(ZOI)
mm
value
24.0
mm,
biofilm
94.3%.
produced
samples’
observed
encourage
continued
research
effective
filtration
biological
applications.
