Black
phosphorus
(BP)
is
a
layered
orthorhombic
crystal
with
uniquely
arranged
atoms
forming
crumpled
honeycomb
lattice.
This
special
atomic
arrangement
gives
BP
unique
optical
anisotropy,
which
expected
to
be
widely
used
in
polarized
optics.
However,
conventional
image
analysis
study
its
anisotropy
complex
and
inefficient.
paper
proposed
machine-learning-based
approach
conveniently
identify
black
phosphorus's
features.
Red–green–blue
(RGB)
values
were
extracted
from
regions
of
interest
(ROI)
consistent
thickness
by
the
detection
algorithm,
then
data
processed
obtain
sample
eigenvalue
set.
Variations
RGB
directly
reflect
changes
ability
light.
was
converted
grayscale,
it
found
that
they
both
change
periodically
rotation
angle.
Subsequently,
redundant
eliminated
meticulously
assessing
feature
importance,
reducing
generalization
errors.
The
performance
models
evaluated
terms
accuracy,
recall,
F1_Score,
area
under
receiver
operating
characteristic
curve
(AUC-ROC),
all
consistently
above
0.9.
Machine
learning
algorithmic
can
accurately
classify
images
different
angles
features
BP.
algorithms
automatically
learn
improve
algorithms,
bolstering
problem-solving
efficiency
precision.
minimizes
human
material
resource
waste
experimental
errors,
fostering
interdisciplinary
synergy
between
materials
science
artificial
intelligence.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(19)
Published: Feb. 8, 2024
Abstract
The
introduction
of
rotational
freedom
by
twist
angles
in
twisted
bilayer
(TB)
transition
metal
dichalcogenides
(TMDCs)
can
tailor
the
inherent
properties
TMDCs,
which
provides
a
promising
platform
to
investigate
exotic
physical
properties.
However,
direct
synthesis
high‐quality
TB‐TMDCs
with
full
is
significantly
challenging
due
substantial
energy
barriers
during
crystal
growth.
Here,
modified
chemical
vapor
deposition
strategy
proposed
synthesize
TB‐WS
2
wide
angle
range
from
0°
120°.
Utilizing
tilted
SiO
/Si
substrate,
gas
flow
disturbance
generated
furnace
tube
create
heterogeneous
concentration
gradient
precursor,
an
extra
driving
force
for
growth
.
Raman
and
photoluminescence
results
confirm
weak
interlayer
coupling
High‐quality
periodic
Moiré
patterns
are
observed
scanning
transmission
electron
microscopy
images.
Moreover,
owing
strong
correlation
between
nonlinear
optical
response
structure,
tunable
second
harmonic
generation
behaviors
realized
This
approach
opens
up
new
avenue
high‐crystalline‐quality
pristine
their
potential
applications
devices.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 6, 2024
2D
ferroelectric
materials
have
attracted
extensive
research
interest
due
to
potential
applications
in
nonvolatile
memory,
nanoelectronics
and
optoelectronics.
However,
the
available
are
scarce
most
of
them
limited
by
uncontrollable
preparation.
Herein,
a
novel
material
AgCrS
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 7, 2025
Abstract
The
non-volatile
spontaneous
ferroelectric
polarization
(FE)
field
serves
as
a
cornerstone
for
applying
materials
in
electronic
devices,
yet
it
is
frequently
mitigated
by
charge
trapping
(CT)
at
defect
sites.
Achieving
an
effective
transition
between
FE
and
CT
challenging
due
to
the
inherent
opposition
of
two
mechanisms
uncontrollable
types
materials.
Here,
we
realized
polarity-dependent
competition
heterojunction
transistors,
integrating
hybrid
organic-inorganic
perovskite
(HOIPFs)
layer
embedded
with
electron
Through
theoretical
calculations
experimental
validation,
demonstrate
based
on
polarity
semiconductor
layer.
electron-majority
n-type
exhibits
behavior,
while
electron-minority
p-type
semiconductors
exhibit
mechanism.
Leveraging
transition,
our
bipolar
transistors
enable
synergistic
control
volatile
modulation
within
single
device,
significantly
improving
recognition
accuracy
93.9%
3.7-fold
boost
training
efficiency.
