RSC Advances,
Journal Year:
2024,
Volume and Issue:
14(52), P. 38378 - 38384
Published: Jan. 1, 2024
Metal
halide
perovskites
have
emerged
as
highly
promising
materials
for
a
range
of
optoelectronic
applications.
However,
their
sensitivity
to
environmental
factors,
particularly
air
moisture,
presents
significant
challenges
both
reliable
research
and
commercialization.
Moisture-induced
degradation
is
major
issue
due
the
ionic
nature
perovskites,
which
significantly
impacts
luminescent
properties.
Despite
extensive
efforts
focusing
on
device
applications,
comprehensive
understanding
mechanisms
in
remains
limited,
largely
intrinsic
characteristics.
In
this
work,
we
perform
an
in-depth
analysis
process
perovskite
nanocrystals
(NCs)
synthesized
with
varying
reaction
times,
exploring
correlation
between
optical
structural
Our
findings
reveal
that
NCs
larger
crystal
sizes
exhibit
greater
stability
ambient
air,
attributed
lower
surface-to-volume
ratio.
These
insights
offer
deeper
relationship
NC
performance,
contributing
advancements
field
perovskite-based
light-emitting
technologies.
Materials,
Journal Year:
2024,
Volume and Issue:
17(5), P. 1165 - 1165
Published: March 1, 2024
The
evolution
of
photovoltaic
cells
is
intrinsically
linked
to
advancements
in
the
materials
from
which
they
are
fabricated.
This
review
paper
provides
an
in-depth
analysis
latest
developments
silicon-based,
organic,
and
perovskite
solar
cells,
at
forefront
research.
We
scrutinize
unique
characteristics,
advantages,
limitations
each
material
class,
emphasizing
their
contributions
efficiency,
stability,
commercial
viability.
Silicon-based
explored
for
enduring
relevance
recent
innovations
crystalline
structures.
Organic
examined
flexibility
potential
low-cost
production,
while
perovskites
highlighted
remarkable
efficiency
gains
ease
fabrication.
also
addresses
challenges
scalability,
environmental
impact,
offering
a
balanced
perspective
on
current
state
future
these
technologies.
The
evolution
of
photovoltaic
cells
is
intrinsically
linked
to
advancements
in
the
materials
from
which
they
are
fabricated.
This
review
paper
provides
an
in-depth
analysis
latest
developments
silicon-based,
organic,
and
perovskite
solar
cells,
at
forefront
research.
We
scrutinize
unique
characteristics,
advantages,
limitations
each
material
class,
emphasizing
their
contributions
efficiency,
stability,
commercial
viability.
Silicon-based
explored
for
enduring
relevance
recent
innovations
crystalline
structures.
Organic
examined
flexibility
potential
low-cost
production,
while
perovskites
highlighted
remarkable
efficiency
gains
ease
fabrication.
also
addresses
challenges
scalability,
environmental
impact,
offering
a
balanced
perspective
on
current
state
future
these
technologies.
InfoMat,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 24, 2025
Abstract
Since
its
emergence
in
2009,
perovskite
photovoltaic
technology
has
achieved
remarkable
progress,
with
efficiencies
soaring
from
3.8%
to
over
26%.
Despite
these
advancements,
challenges
such
as
long‐term
material
and
device
stability
remain.
Addressing
requires
reproducible,
user‐independent
laboratory
processes
intelligent
experimental
preselection.
Traditional
trial‐and‐error
methods
manual
analysis
are
inefficient
urgently
need
advanced
strategies.
Automated
acceleration
platforms
have
transformed
this
field
by
improving
efficiency,
minimizing
errors,
ensuring
consistency.
This
review
summarizes
recent
developments
machine
learning‐driven
automation
for
photovoltaics,
a
focus
on
application
new
transport
discovery,
composition
screening,
preparation
optimization.
Furthermore,
the
introduces
concept
of
self‐driven
Autonomous
Material
Device
Acceleration
Platforms
(AMADAP)
discusses
potential
it
may
face.
approach
streamlines
entire
process,
discovery
performance
improvement,
ultimately
accelerating
development
emerging
technologies.
image
Nanomaterials,
Journal Year:
2024,
Volume and Issue:
14(23), P. 1867 - 1867
Published: Nov. 21, 2024
This
article
reviews
the
latest
advancements
in
perovskite
solar
cell
(PSC)
components
for
innovative
photovoltaic
applications.
Perovskite
materials
have
emerged
as
promising
candidates
next-generation
cells
due
to
their
exceptional
light-absorbing
capabilities
and
facile
fabrication
processes.
However,
limitations
stability,
scalability,
efficiency
hindered
widespread
adoption.
review
systematically
explores
recent
breakthroughs
PSC
components,
focusing
on
absorbed
layer
engineering,
electron
hole
transport
layers,
interface
materials.
In
particular,
it
discusses
novel
compositions,
crystal
structures,
manufacturing
techniques
that
enhance
stability
scalability.
Additionally,
evaluates
strategies
improve
charge
carrier
mobility,
reduce
recombination,
address
environmental
considerations.
Emphasis
is
placed
scalable
methods
suitable
large-scale
integration
into
existing
infrastructure.
comprehensive
thus
provides
researchers,
engineers,
policymakers
with
key
information
needed
motivate
further
required
transformative
of
PSCs
global
energy
production.
Small Methods,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 14, 2025
Abstract
This
study
introduces
a
simple
and
effective
way
to
control
the
bandgap
of
perovskite
film
by
constructing
bilayer
composed
methylammonium
lead
iodide
(MAPbI
3
)
formamidinium
(FAPbI
layers.
The
is
fabricated
through
sequential
co‐deposition
(MAI)
(PbI
2
),
followed
(FAI)
PbI
.
Interestingly,
can
be
tuned
from
1.60
1.51
eV
adjusting
thickness
each
layer.
X‐ray
photoelectron
spectroscopy
(XPS)
indicates
that
highly
diffusive
ions
(MA
+
enables
formation
stable
α‐phase
with
(FA
in
even
without
further
thermal
annealing.
Bilayer
film‐based
solar
cells
(PSCs)
are
an
all‐vacuum
deposition
process.
PSC
exhibits
higher
power
conversion
efficiency
(PCE)
17.0%
compared
single‐layer
based
on
MAPbI
or
FAPbI
Archives of Case Reports,
Journal Year:
2025,
Volume and Issue:
9(3), P. 081 - 131
Published: March 26, 2025
This
paper
investigates
the
role
of
machine
learning
(ML)
techniques
in
advancing
CuSCN-based
perovskite
tandem
solar
cells
(PTSCs),
addressing
critical
challenges
such
as
power
conversion
efficiency,
scalability,
and
long-term
operational
stability.
CuSCN
is
emphasized
a
promising
hole
transport
layer
due
to
its
affordability,
thermal
stability,
compatibility
with
scalable
manufacturing
techniques.
Leveraging
ML-driven
frameworks
,
study
optimizes
key
parameters,
enhances
uniformity,
reduces
defect
density,
refines
interface
engineering,
achieving
significant
improvements
compared
conventional
methods
.
Results
demonstrate
that
ML-based
optimization
facilitates
efficiencies
exceeding
29%
under
controlled
conditions
while
offering
precise
predictions
performance
degradation
mechanisms.
outcome
establishes
benchmark
for
integrating
into
PTSCs
maintaining
environmental
economic
sustainability.
Furthermore,
underscores
ML’s
capability
tailoring
complex
device
architectures
minimizing
experimental
efforts
required
achieve
optimal
configurations.
The
novelty
this
work
lies
proposing
hybrid
methodologies
integrate
ML
fabrication
techniques,
computational
cost
limitations
hinder
widespread
application.
Additionally,
contributes
expanding
open-access
datasets
lightweight
models,
access
tools
resource-limited
environments.
research
bridges
gaps
previous
studies
by
presenting
comprehensive
framework
material
providing
solutions
expedite
PTSC
commercialization.
These
findings
position
transformative,
sustainable
alternative
renewable
energy
technologies
meeting
global
demands.
