Navigating the Evolution of Carbon Nitride Research: Integrating Machine Learning into Conventional Approaches
Deep Mondal,
No information about this author
Sujoy Datta,
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Debnarayan Jana
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et al.
Physical Chemistry Chemical Physics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
Carbon
nitride
research
has
reached
a
promising
point
in
today's
endeavours
with
diverse
applications
including
photocatalysis,
energy
storage,
and
sensing
due
to
their
unique
electronic
structural
properties.
Recent
advances
machine
learning
(ML)
have
opened
new
avenues
for
exploring
optimizing
the
potential
of
these
materials.
This
study
presents
comprehensive
review
integration
ML
techniques
carbon
an
introduction
CN
classifications
recent
advancements.
We
discuss
methodologies
employed,
such
as
supervised
learning,
unsupervised
reinforcement
predicting
material
properties,
synthesis
conditions,
enhancing
performance
metrics.
Key
findings
indicate
that
algorithms
can
significantly
reduce
experimental
trial-and-error,
accelerate
discovery
processes,
provide
deeper
insights
into
structure-property
relationships
nitride.
The
synergistic
effect
combining
traditional
approaches
is
highlighted,
showcasing
studies
where
driven
models
successfully
predicted
novel
compositions
enhanced
functional
Future
directions
this
field
are
also
proposed,
emphasizing
need
high-quality
datasets,
advanced
models,
interdisciplinary
collaborations
fully
realize
materials
next-generation
technologies.
Language: Английский
Improvement of gas-sensing performance of TO8C monolayers as high-efficient room-temperature NO and NO2 gas sensors induced by electric field
Guodong Li,
No information about this author
Wentao Guo,
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Qihua Hou
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et al.
Results in Physics,
Journal Year:
2024,
Volume and Issue:
61, P. 107770 - 107770
Published: May 17, 2024
The
gas-sensing
application
potential
of
the
TO8C
monolayer
for
target
gases
(NO,
NO2,
CO,
CO2,
NH3,
CH4,
H2O,
and
H2)
was
systematically
investigated
via
DFT
calculations.
Only
NO
NO2
adsorption
can
tune
electronic
properties
monolayer.
Since
weak
strength
is
unfavorable
sensor
device,
E-field
modulation
applied.
Except
as
enhancement
into
desired
ranges
−0.14
∼
−0.21
V/Å
(0.08
0.12
−0.26
−0.29
NO2)
makes
semiconducting
transfer
conducting
properties,
indicating
sensitivity
towards
also
effectively
improved.
However,
adsorbed
with
other
were
hardly
changed
by
above-mentioned
E-fields.
When
applied
E-fields
in
−0.12
−0.17
(or
V/Å),
maintained
existence
humidity,
that
determinate
much
favorable
TO8C-based
to
detect
without
considering
whether
humidity
exists.
Our
findings
reveal
monolayers
are
compelling
feasible
candidates
resistance-type
sensors
at
room
temperature
under
modulation.
Language: Английский
The O-Defective g-ZnO Sensor for VOC Gases: The Adsorption–Desorption, Electronic, and Sensitivity Properties
Langmuir,
Journal Year:
2024,
Volume and Issue:
40(33), P. 17396 - 17404
Published: Aug. 7, 2024
Adsorption-desorption
performance,
electronic
properties,
and
sensitivity
of
O-defective
g-ZnO
(ODZO)
gas
sensors
for
volatile
organic
compounds
(VOCs)
are
calculated
using
density
functional
theory
nonequilibrium
Green's
formalism.
The
VOCs
CH
Language: Английский
Au-doped B2CN3 monolayer as a nitrogen dioxide remover and sulfur dioxide sensor
A.M. Abdulwahab,
No information about this author
Zahraa A. Hanoon,
No information about this author
Pawan Sharma
No information about this author
et al.
Inorganic Chemistry Communications,
Journal Year:
2025,
Volume and Issue:
unknown, P. 114070 - 114070
Published: Feb. 1, 2025
Highly enhanced cyanogen chloride and hydrogen cyanide sensing performance of BC4N monolayer with silicon-doped: A DFT approach
Mohamed J. Saadh,
No information about this author
Khalid Salem,
No information about this author
Anjan Kumar
No information about this author
et al.
Physica B Condensed Matter,
Journal Year:
2025,
Volume and Issue:
unknown, P. 417248 - 417248
Published: April 1, 2025
Language: Английский
Exploring the adsorption behavior of O-containing VOCs in human breath on a B2N monolayer using DFT simulations
Physical Chemistry Chemical Physics,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 1, 2024
The
present
study
results
may
have
significant
implications
for
utilizing
B
2
N
nanosheets
detecting
O-containing
VOCs
in
human
breath,
which
could
facilitate
early
disease
diagnosis.
Language: Английский
A high selective and permeable C7N6 monolayer membrane for H2 purification: First-principles and molecular dynamics simulations
Zhiyong Liu,
No information about this author
Qihua Hou,
No information about this author
Xueshi Wei
No information about this author
et al.
Surfaces and Interfaces,
Journal Year:
2023,
Volume and Issue:
44, P. 103764 - 103764
Published: Dec. 13, 2023
Language: Английский
Ag decoration as a strategy to enhance the methanol and ethanol sensing on the biphenylene sheet
Surfaces and Interfaces,
Journal Year:
2024,
Volume and Issue:
51, P. 104744 - 104744
Published: July 17, 2024
Language: Английский
Unveiling the Reactivity of Oxygen and Ozone on C2N Monolayer
physica status solidi (RRL) - Rapid Research Letters,
Journal Year:
2024,
Volume and Issue:
18(12)
Published: Aug. 22, 2024
Understanding
the
interaction
of
various
environmental
oxidizing
agents
is
important
in
determining
physical
and
chemical
properties
2D
materials.
Its
impact
holds
great
significance
for
practical
application
these
materials
nanoscale
devices
functioning
under
ambient
conditions.
This
study
delves
into
influence
O
2
3
exposure
on
structural
electronic
characteristics
C
N
monolayer,
focusing
kinetics
adsorption
dissociation
reactions.
Employing
first‐principles
density‐functional
theory
calculations
alongside
climbing
image
nudged
elastic
band
calculations,
it
observed
that
monolayer
exhibits
resistance
to
ozonation,
evidenced
by
energy
barriers
0.56
eV.
These
processes
are
accompanied
formation
COC
groups.
Furthermore,
mechanism
involves
charge
transfers
from
molecules.
Notably,
dissociated
configurations
demonstrate
higher
bandgaps
compared
pristine
attributed
robust
CO
hybridization.
findings
suggest
robustness
monolayers
against
oxygen/ozone
exposures,
ensuring
stability
incorporating
Language: Английский