Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(30)
Published: March 27, 2024
Abstract
Utilization
of
small
molecules
as
passivation
materials
for
perovskite
solar
cells
(PSCs)
has
gained
significant
attention
recently,
with
hundreds
demonstrating
effects.
In
this
study,
a
high‐accuracy
machine
learning
model
is
established
to
identify
the
dominant
molecular
traits
influencing
and
efficiently
screen
excellent
among
molecules.
To
address
challenge
limited
available
dataset,
novel
evaluation
method
called
random‐extracted
recoverable
cross‐validation
(RE‐RCV)
proposed,
which
ensures
more
precise
reduced
error.
Among
31
examined
features,
dipole
moment
identified,
hydrogen
bond
acceptor
count,
HOMO‐LUMO
gap
affecting
passivation,
offering
valuable
guidance
selection
The
predictions
are
experimentally
validate
three
representative
molecules:
4‐aminobenzenesulfonamide,
4‐Chloro‐2‐hydroxy‐5‐sulfamoylbenzoic
acid,
Phenolsulfonphthalein,
exhibit
capability
increase
absolute
efficiency
values
by
over
2%,
champion
25.41%.
This
highlights
its
potential
expedite
advancements
in
PSCs.
Solar RRL,
Journal Year:
2024,
Volume and Issue:
8(7)
Published: Feb. 1, 2024
Finding
the
most
suitable
pathways
to
improve
interfacial
charge
transportation
in
lead
halide
perovskite
solar
cells
is
a
highly
desirable
research
area
enhance
device
performance
and
enable
commercialization.
The
complexities
of
dynamics,
encompassing
separation,
diffusion,
collection
processes,
pivot
on
thoughtful
selection
interlayers
their
inherent
properties.
Challenges
arise
from
nonideal
interfaces
characterized
by
mismatched
energy
levels
defects
that
hinder
efficient
transport.
To
address
these
concerns,
implementing
tailored
engineering
strategies,
including
interlayer
modification,
band
alignments,
passivation
techniques,
can
help
mitigate
unwanted
nonradiative
recombination.
This
review
aims
elucidate
impact
trap
states
suppressing
transport
device,
along
with
subsequent
techniques
designed
Following
that,
comprehensive
overview
presented,
highlighting
recent
advancements
interface
properties
between
electron
layer/perovskite
perovskite/hole
layer.
Significantly,
using
buffer
dipole
layers
as
overall
stability
investigated.
ACS Energy Letters,
Journal Year:
2024,
Volume and Issue:
9(4), P. 1405 - 1414
Published: March 5, 2024
Manipulation
of
interfacial
defects
and
carrier
extraction
or
transport
are
crucial
for
improving
the
operational
stability
photovoltaic
performance
perovskite
solar
cells
(PSCs).
Here,
we
propose
a
technique
utilizing
bridge
molecules
to
construct
viaduct
between
bulk
hole-transporting
layers.
A
molecular
configuration
combining
organic
functional
groups
from
each
layer
was
used.
The
designed
not
only
ensure
homogeneous
contact
promote
extraction/transport
but
also
passivate
various
redistribute
surface
potential.
developed
device
showed
an
exceptional
power
conversion
efficiency
(PCE)
25.49%
with
enhanced
stability.
treated
PSCs
could
retain
over
94%
their
initial
PCEs
after
1000
h
continuous
operation
under
1
sun
illumination
95%
500
aging
at
approximately
85
°C
in
dry
air
relative
humidity
20%.
This
work
provides
simple
yet
effective
approach
fabricating
photovoltaics
outstanding
Chemical Communications,
Journal Year:
2024,
Volume and Issue:
60(23), P. 3146 - 3149
Published: Jan. 1, 2024
Two
π-extended
nonplanar
cobalt
porphyrins
embedded
MWCNTs
manifested
efficient
electrocatalysts
for
selective
ORR
under
ambient
conditions
with
excellent
methanol
tolerance
and
high
stability
due
to
effective
π–π
interactions.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(30)
Published: March 27, 2024
Abstract
Utilization
of
small
molecules
as
passivation
materials
for
perovskite
solar
cells
(PSCs)
has
gained
significant
attention
recently,
with
hundreds
demonstrating
effects.
In
this
study,
a
high‐accuracy
machine
learning
model
is
established
to
identify
the
dominant
molecular
traits
influencing
and
efficiently
screen
excellent
among
molecules.
To
address
challenge
limited
available
dataset,
novel
evaluation
method
called
random‐extracted
recoverable
cross‐validation
(RE‐RCV)
proposed,
which
ensures
more
precise
reduced
error.
Among
31
examined
features,
dipole
moment
identified,
hydrogen
bond
acceptor
count,
HOMO‐LUMO
gap
affecting
passivation,
offering
valuable
guidance
selection
The
predictions
are
experimentally
validate
three
representative
molecules:
4‐aminobenzenesulfonamide,
4‐Chloro‐2‐hydroxy‐5‐sulfamoylbenzoic
acid,
Phenolsulfonphthalein,
exhibit
capability
increase
absolute
efficiency
values
by
over
2%,
champion
25.41%.
This
highlights
its
potential
expedite
advancements
in
PSCs.
