Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 2, 2024
Deep
learning
algorithms
require
large
amounts
of
data,
and
their
accuracy
rates
are
directly
related
to
the
amount
quality
data.
Moreover,
supervised
models
data
be
labeled.
However,
labeling
is
always
a
time-consuming
laborious
process.
Labeling
obtained
from
microscope
images
can
more
laborious.
Molybdenum
disulfide
(MoS2)
in
monolayer
form,
which
produced
on
surfaces
with
chemical
vapor
deposition
method
(CVD)
has
advantages
for
potential
electronic
applications,
frequently
studied
material
field
nanotechnology.
MoS2
these
usually
defective
needs
detected.
This
process
difficult
performed
by
an
expert.
Artificial
intelligence-based
algorithms,
need
labeled
provide
effective
solution
detections.
Furthermore,
increasing
number
increases
algorithms.
In
this
study,
teacher-student
model
explored
using
self-training,
semi-supervised
technique,
effectively
train
deep
convolutional
neural
network
detect
defects
samples.
Initially,
teacher
trained
small
enriched
generating
pseudo-labels
previously
unlabeled
Then,
student
real
pseudo-labeled
The
then
replaces
model,
repeats,
gradually
improving
accuracy.
results
show
that
self-training
77%
82%
compared
CNN
only
existing
defect
regions
classified
minimal
manual
labeling.
Heliyon,
Journal Year:
2025,
Volume and Issue:
11(4), P. e42739 - e42739
Published: Feb. 1, 2025
This
review
explores
the
synergistic
potential
of
natural
products
and
nanotechnology
for
viral
infections,
highlighting
key
antiviral,
immunomodulatory,
antioxidant
properties
to
combat
pandemics
caused
by
highly
infectious
viruses.
These
often
result
in
severe
public
health
crises,
particularly
affecting
vulnerable
populations
due
respiratory
complications
increased
mortality
rates.
A
cytokine
storm
is
initiated
when
an
overload
pro-inflammatory
cytokines
chemokines
released,
leading
a
systemic
inflammatory
response.
Viral
mutations
limited
availability
effective
drugs,
vaccines,
therapies
contribute
continuous
transmission
virus.
The
coronavirus
disease-19
(COVID-19)
pandemic
has
sparked
renewed
interest
product-derived
antivirals.
efficacy
traditional
medicines
against
infections
examined.
Their
anti-inflammatory,
are
highlighted.
discusses
how
enhances
herbal
combating
infections.
Nano TransMed,
Journal Year:
2024,
Volume and Issue:
3, P. 100041 - 100041
Published: July 9, 2024
Artificial
Intelligence
(AI)
and
Nanotechnology
are
two
cutting-edge
fields
that
hold
immense
promise
for
revolutionizing
various
aspects
of
science,
technology,
everyday
life.
This
review
delves
into
the
intersection
these
disciplines,
highlighting
synergistic
relationship
between
AI
Nanotechnology.
It
explores
how
techniques
such
as
machine
learning,
deep
neural
networks
being
employed
to
enhance
efficiency,
precision,
scalability
nanotechnology
applications.
Furthermore,
it
discusses
challenges,
opportunities,
future
prospects
integrating
with
nanotechnology,
paving
way
transformative
advancements
in
diverse
domains
ranging
from
healthcare
materials
science
environmental
sustainability
beyond.
Nanomaterials,
Journal Year:
2024,
Volume and Issue:
14(12), P. 1011 - 1011
Published: June 11, 2024
This
research
reports
the
development
of
3D
carbon
nanostructures
that
can
provide
unique
capabilities
for
manufacturing
nanotube
(CNT)
electronic
components,
electrochemical
probes,
biosensors,
and
tissue
scaffolds.
The
shaped
CNT
arrays
were
grown
on
patterned
catalytic
substrate
by
chemical
vapor
deposition
(CVD)
method.
new
fabrication
process
catalyst
patterning
based
combination
nanoimprint
lithography
(NIL),
magnetron
sputtering,
reactive
etching
techniques
was
studied.
optimal
parameters
each
technique
evaluated.
made
Fe
Co
nanoparticles
over
an
alumina
support
layer
a
Si/SiO2
substrate.
metal
particles
deposited
using
direct
current
(DC)
sputtering
technique,
with
particle
ranging
from
6
nm
to
12
density
70
1000
particles/micron.
Alumina
radio
frequency
(RF)
pulsed
DC
effect
surface
roughness
pattern
developed
thermal
NIL
Si
master-molds
PMMA
NRX1025
polymers
as
resists.
Catalyst
patterns
lines,
dots,
holes
500
produced
characterized
scanning
electron
microscopy
(SEM)
atomic
force
(AFM).
Vertically
aligned
CNTs
successfully
their
quality
evaluated
SEM
micro-Raman.
results
confirm
has
ability
control
size
shape
superior
quality.
Molecules,
Journal Year:
2025,
Volume and Issue:
30(4), P. 883 - 883
Published: Feb. 14, 2025
The
ever-increasing
global
energy
demand
necessitates
the
development
of
efficient,
sustainable,
and
high-performance
storage
systems.
Nanotechnology,
through
manipulation
materials
at
nanoscale,
offers
significant
potential
for
enhancing
performance
devices
due
to
unique
properties
such
as
increased
surface
area
improved
conductivity.
This
review
paper
investigates
crucial
role
nanotechnology
in
advancing
technologies,
with
a
specific
focus
on
capacitors
batteries,
including
lithium-ion,
sodium-sulfur,
redox
flow.
We
explore
diverse
applications
nanomaterials
encompassing
electrode
(e.g.,
carbon
nanotubes,
metal
oxides),
electrolytes,
separators.
To
address
challenges
like
interfacial
side
reactions,
advanced
nanostructured
are
being
developed.
also
delve
into
various
manufacturing
methods
nanomaterials,
top-down
ball
milling),
bottom-up
chemical
vapor
deposition),
hybrid
approaches,
highlighting
their
scalability
considerations.
While
cost-effectiveness
environmental
concerns
persist,
outlook
remains
promising,
emerging
trends
solid-state
batteries
integration
artificial
intelligence
optimized
storage.
